From Our Neurons to Yours

Last month we saw a big shift in the federal government’s approach to psychedelic medicine.

Specifically, following an executive order by President Trump, the FDA announced it is fast-tracking its review of several clinical trials of psychedelic drugs for patients with mental health disorders. The executive order also directed more funds towards psychedelic research and a review of psychedelics’ status as highly restricted Schedule 1 substances. 

To help us understand what all this means for the future of psychedelic medicine and the neuroscience of psychedelics, we’re joined by Boris Heifets, an anesthesiologist at Stanford Medicine who runs a lab studying how psychedelics affect the nervous system and their impact on patients with psychiatric conditions.

Learn More

• The Heifets Lab at Stanford Medicine
• FDA plans ultra-fast review of three psychedelic drugs following Trump directive (Associated Press, 2026)
• Trump’s order on psychedelics could have far-reaching science consequences (Scientific American, 2026)
• Psychedelics, placebo, and anesthetic dreams (From Our Neurons to Yours, 2024)
• Pychedelics inside out — how do LSD and psilocybin alter perception? (From Our Neurons to Yours, 2024)
• The power of psychedelics meets the power of placebo (From Our Neurons to Yours, 2024)
• Magnesium–ibogaine therapy in veterans with traumatic brain injuries (Nature, 2024)
• Magnesium–ibogaine therapy effects on cortical oscillations and neural complexity in veterans with traumatic brain injury (Nature Mental Health, 2025)

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Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Today’s episode is about the neuroscience of hard work—or maybe more specifically, the value we place on hard work.

There’s something different about hiking to the top of a mountain versus taking a helicopter. The view from the top is exactly the same, but if you’ve done the hard slog to get there, the payoff is going to be much more rewarding. 

The question is, how does the brain know the difference? To answer this, we need to take a deep dive into the brain’s reward system, and one of our favorite neurotransmitters, dopamine. And it turns out, the way dopamine operates is more complicated than we thought.

Our guest today, Stanford Medicine psychiatrist Neir Eshel, tells us about new research that’s starting to reveal exactly how the brain pushes us to work hard for the things that matter to us. 

Learn More

• Eshel's Stanford Translational Addiction and Aggression Research (STAAR) Lab
• Why we value things more when they cost us more (Stanford Medicine, 2026)
• Cholinergic modulation of dopamine release drives effortful behaviour (Nature, 2026)
• Striatal dopamine integrates cost, benefit, and motivation (Neuron, 2023)
• Dopamine and serotonin work in opposition to shape learning (Wu Tsai Neuro, 2024)
• Why we do what we do (From Our Neurons to Yours, 2024)

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Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Traditionally, we think of Parkinson's as a movement disorder—defined by slowed movement, stiff muscles, and involuntary shaking. But it turns out there are other symptoms that appear years or even decades before movement problems bring patients to the clinic: sleep disturbances, chronic constipation, and loss of smell.

For today's guest, these early symptoms represent an incredible opportunity to understand where Parkinson's begins and to identify patients much earlier in the disease.

Kathleen Poston is a neurologist and division chief for movement disorders at Stanford Medicine. She's also a member of the steering committee for the Knight Initiative for Brain Resilience at Wu Tsai Neuro, and advises the Michael J. Fox Foundation and pharmaceutical companies on Parkinson's research.

We discuss why non-motor symptoms might hold the key to early diagnosis, how new biomarkers are redefining the disease, and whether Parkinson's might actually start in the gut.

Learn More

• Learn about Poston's research on her lab site
• Learn about the Stanford Lewy Body Dementia Research Center of Excellence
• Redefining Parkinson's Disease | Our previous conversation with Poston, in which we learned about a sea change in our understanding of Parkinson's Disease.
• Neuroscientists dive into the gut (Wu Tsai Neuro, 2025) | Our 2025 Symposium explored how our brains and bodies communicate—and what that means for our health and well-being
• Parkinson’s comes in many forms. New biomarkers may explain why (Knight Initiative, 2025) | Blood and cerebrospinal fluid markers tied to inflammation and metabolism sort some patients into subgroups, a step toward predicting progression and tailoring care.
• A biological definition of neuronal α-synuclein disease: towards an integrated staging system for research (The Lancet - Neurology, 2024)
• International Working Group Proposes New Framework for Defining Parkinson Disease Based on Biology, Not Symptoms (Neurology Live article)

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Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

What if we could make the brain see-through? 

It sounds like science fiction, but it could revolutionize how we study the brain. 

Today on the show, we're talking with Guosong Hong, a faculty scholar here at the Wu Tsai Neurosciences Institute who has a unique reputation for developing creative techniques that literally shed light on the brain—from using fluorescent nanomaterials and focused ultrasound to create a virtual flashlight inside the skull, to discovering a common food dye that temporarily makes skin, muscle, and even parts of the brain transparent. 

Now, Guosong and colleagues are taking this work to the next level through a Wu Tsai Neuro Big Ideas grant, genetically engineering mice to have see-through brains from birth. 

Learn More

• Q&A: 'To see is to believe'  (Wu Tsai Neuro, 2026)
• Big Ideas in Neuroscience tackle brain science of everyday life and more (Wu Tsai Neuro, 2026)
• Researchers turn mouse scalp transparent to image brain development (Stanford Report, 2026)
• The future of transparent tissue (Stanford Engineering's The Future of Everything Podcast, 2025)
• Non-invasive brain stimulation opens new ways to study and treat the brain (Wu Tsai Neuro, 2025)
• Researchers make mouse skin transparent using a common food dye (Stanford Report, 2024)

Note: Episode transcript will be uploaded within 24-48 hours of publication

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Our memories and senses are deeply connected—like how a favorite song can recreate a whole glorious teenage summer. It turns out this relationship might extend beyond our five external senses to include our internal senses: the signals telling us what's happening inside our bodies, sometimes beyond the veil of conscious perception.

New research by Wu Tsai Neurosciences Institute affiliate Christoph Thaiss suggests that losing these internal signals as we age — in part due to changes in our gut microbiome — could one reason why our memories decline as we get older. 

Today we're talking with Thaiss about his new study in Nature that traces a surprising path from gut microbes to memory formation in the mouse brain.

Learn More

• Enhancing gut-brain communication reversed cognitive decline, improved memory formation in aging mice (Stanford Medicine, 2026)
• Intestinal interoceptive dysfunction drives age-associated cognitive decline. (Nature, 2026)
• Christoph's presentation at Wu Tsai Neuro's 2025 Annual Symposium
• Neuroscientists Dive into the Gut (Wu Tsai Neuro, 2025)
• The Thaiss Lab at the Arc Institute
• Thaiss Lab publications

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Today on the show, why do some of us age faster than others? Why do some of us grow old and die before our time while others seem to simply endure? And most of us have probably wondered at one point or another, which track am I on? 

Turns out it might be possible to predict the whole trajectory of an animal's life at a surprisingly young age, just by looking closely at subtle patterns of behavior. That's the conclusion of a new study from researchers at the Knight Initiative for Brain Resilience here at Wu Tsai Neuro, out March 12, 2026 in the journal Science. 

The study focused on the African turquoise killifish, a little fish that lives fast and dies young. This species has one of the shortest lifespans of any vertebrate, which makes it ideal for studying the entire arc of a life in the laboratory setting.

The important point here is that even short-lived killifish are dealt different lots by the fates. Even when you control for genetics and the environment, some killifish only live a month or two, while others can live as long as a year. So the big question is, what drives this difference in longevity? 

To learn more, we're joined today by the study's two lead researchers, Wu Tsai Neurosciences Institute Postdoctoral Scholars, Claire Bedbrook and Ravi Nath, who performed the research in the labs of Anne Brunet and Karl Deisseroth here at Stanford.

Learn More

• To study aging, researchers give killifish the CRISPR treatment (Knight Initiative for Brain Resilience, 2023)
• Study pinpoints key mechanism of brain aging (Stanford Report, 2025)
• Killifish project explores the genetic foundation of longevity (Stanford Medicine 2015)
• Multi-tissue transcriptomic aging atlas reveals predictive aging biomarkers in the killifish (Nature, 2026)

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Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

We know shockingly little about what goes on in a mother’s brain during pregnancy.

For example, we know only a handful of the hormones involved—out of hundreds scientists think may exist—and very little about how they might impact the brain. This gap in our understanding is one of the reasons we don’t have great treatments for pregnancy-related maladies, whether it’s extreme nausea, or anxiety and depression.

Closing this gap is the mission of the new Stanford Neuro-Pregnancy Initiative, part of the Wu Tsai Neurosciences Institute's Big Ideas in Neuroscience Program. 

Today on the show, we speak with initiative leaders Nirao Shah, a neuroscientist who studies sex differences in animal behavior, and Katrin Svensson is an expert in how our tissues use hormones to communicate in health and disease. Together with Longzhi Tan, an expert in gene regulation and 3d genome structure, the team aims to chart the cellular and molecular transformation that occurs in a mother's brain during pregnancy, in hopes of better understanding this fundamental event in a person's life and improving health outcomes for both mothers and infants. 

Learn more:

• Big Ideas in Neuroscience tackle brain science of everyday life and more (Wu Tsai Neuro, 2026)
• Nirao Shah lab
• Katrin Svensson lab
• Longzhi Tan lab

References:

• Hoekzema, E., et al. (2017) Pregnancy leads to long-lasting changes in human brain structure. Nat Neurosci 20, 287–296. This is the landmark neuroimaging study discussed in the episode that provided evidence of long-lasting, pregnancy-induced changes in the structure of the human brain. 
• Fejzo, M., et al. (2024) GDF15 linked to maternal risk of nausea and vomiting during pregnancy. Nature 625, 760–767. This recent paper provides strong evidence that the hormone GDF15 acts on the brainstem to cause nausea and vomiting in pregnancy.
• Knoedler J, et al. A functional cellular framework for sex and estrous cycle-dependent gene expression and behavior. Cell. 185, e1–e18 (2022). This is the work from Dr. Shah’s lab mentioned in the episode, identifying a specific circuit in the hypothalamus that changes its connectivity across the estrous cycle to control female mating behavior.
• Ladyman S.R., et al.  (2021) A reduction in voluntary physical activity in early pregnancy in mice is mediated by prolactin eLife 10:e62260 This is the research mentioned from Dr. Grattan’s lab showing that the hormone prolactin acts on the hypothalamus to reduce locomotor activity and anxiety-like behavior in pregnant mice.

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Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Here’s a question for you that may at first seem trivial, but is actually profound: Why do our minds drift? 

If you have ever dabbled in mindfulness or meditation, you know this mind wandering has an almost gravitational pull. In fact, researchers now think we spend as much as 50 percent of our waking time in this state, which cognitive scientists have dubbed the brain’s “default mode.”

Today’s guest is Vinod Menon. He’s a giant in the field of cognitive science who played a central role in defining the brain “default mode network” back in 2003. 

In our conversation, he argues our tendency to daydream may be at the core of our self-identities, our creativity – and also many of our most troubling psychiatric disorders, from Alzheimer’s to ADHD.

Vinod Menon is Rachel L. and Walter F. Nichols, MD., Professor of Psychiatry & Behavioral Science at Stanford Medicine, and an affiliate of the Wu Tsai Neurosciences Institute.

Learn More

• Menon's "Stanford Cognitive & Systems Neuroscience Laboratory"
• Stanford Medicine study identifies distinct brain organization patterns in women and men (Stanford Medicine, 2024)
• Children with autism have broad memory difficulties, Stanford Medicine-led study finds (Stanford Medicine, 2023)
• Interactions between attention-grabbing brain networks weak in ADHD (Stanford Medicine, 2015)

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

For decades, Alzheimer's research has focused on clearing amyloid plaques from the brain. But new drugs that successfully remove plaques have proven clinically "underwhelming", leaving the field searching for alternative approaches.

Stanford neurologist Katrin Andreasson has spent twenty years pursuing a different path—investigating how aging triggers an energy crisis in the brain's immune and support cells. Her work reveals that inflammation and metabolic dysfunction in microglia and astrocytes may be the real drivers of Alzheimer's pathology. 

Most remarkably, her recent research—supported by the Knight Initiative for Brain Resilience here at the Wu Tsai Neurosciences Institute—shows that targeting inflammation in the peripheral immune system—outside the brain entirely—can restore memory in mouse models of the disease. 

While human trials are still needed, Andreasson's findings offer fresh hope and demonstrate the critical importance of supporting curiosity-driven science, even when it challenges prevailing dogma.

Learn More:

• Alzheimer's Association honors Katrin Andreasson
• Research links age-related inflammation, microglia and Alzheimer’s Disease
• Q&A: How the aging immune system impacts brain health
• Rethinking Alzheimer's: Could it begin outside the brain?
• Why new Alzheimer's drugs may not work for patients
• Parkinson’s comes in many forms. New biomarkers may explain why.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

The AI revolution of the past few years is built on brain-inspired neural network models originally developed to study our own minds. The question is, what should we make of the fact that our own rich mental lives are built on the same foundations as the seemingly soulless chat-bots we now interact with on a daily basis?

Our guest this week is Stanford cognitive scientist Jay McClelland, who has been a leading figure in this field since the 1980s, when he developed some of the first of these artificial neural network models. Now McClelland has a new book, co-authored with SF State University computational neuroscientist Gaurav Suri, called "The Emergent Mind: How Intelligence Arises in People and Machines." 

We spoke with McClelland about the entangled history of neuroscience and AI, and whether the theory of the emergent mind described in the book can help us better understand ourselves and our relationship with the technology we've created.

Learn More 

New book sheds light on human and machine intelligence | Stanford Report

How Intelligence – Both Human and Artificial – Happens | KQED Forum 

From Brain to Machine: The Unexpected Journey of Neural Networks | Stanford HAI

Wu Tsai Neuro's Center for Mind, Brain, Computation and Technology

McClelland, J. L. & Rumelhart, D. E. (1981). An interactive activation model of context effects in letter perception: Part 1. An account of basic findings. Psychological Review, 88, 375-407. [PDF]

Rumelhart, D. E., McClelland, J. L., & the PDP research group. (1986). Parallel distributed processing: Explorations in the microstructure of cognition. Volumes I & II. Cambridge, MA: MIT Press.

McClelland, J. L. & Rogers, T. T. (2003). The parallel distributed processing approach to semantic cognition. Nature Reviews Neuroscience, 4, 310-322. [PDF]

McClelland, J. L., Hill, F., Rudolph, M., Baldridge, J., & Schuetze, H. (2020). Placing language in and integrated understanding system: Next steps toward human-level performance in neural language models. Proceedings of the National Academy of Sciences, 117(42), 25966-25974. [PDF]

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Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Imagine what it’s like to lose your ability to speak. You know what you want to say, but the connection between your brain and the muscles that form words is no longer functioning. For people with conditions like ALS, or who experience a severe stroke, this is a devastating reality. 

Today's guest is Erin Kunz, a postdoctoral researcher in the Neural Prosthetics Translational Laboratory at Stanford, who is part of a global community of scientists working towards the vision of a brain–computer interface — or BCI — to bypass those broken circuits and restore the ability to speak to people with paralysis.

We discuss how these BCIs work and the inspiring progress the tech has made in recent years, as well as the troubling question of whether a technology designed to decode what people intend to say from their brain activity could one day read out thoughts they never intended to communicate?

Learn More

• Study of promising speech-enabling interface offers hope for restoring communication (Stanford Medicine, 2025)
• For Some Patients, the ‘Inner Voice’ May Soon Be Audible (The New York Times, 2025)
• These brain implants speak your mind — even when you don't want to (NPR, 2025)
• A mind-reading brain implant that comes with password protection(Nature, 2025)
• How neural prosthetics could free minds trapped by brain injury(From Our Neurons to Yours, 2024)
• Brain implants, software guide speech-disabled person’s intended words to computer screen (Stanford Medicine, 2023)
• Software turns ‘mental handwriting’ into on-screen words, sentences (Stanford Medicine, 2021)

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Neuroscientists have spent the past few decades tracing the network of brain systems—some deep and emotional, and others more analytical and deliberate— that work together as we make tough choices like where to invest our money as well as more everyday decisions like which videos to watch online—or, for that matter, which podcast to listen to.

You can imagine that the ability to listen in on the brain systems that guide our choices might start to let scientists predict our decisions. But today's guest has taken this a step further, showing that measuring brain activity in just a few individuals can actually forecast widespread social behaviors, like which stock prices are likely to go up or down on the market, or which videos are likely to go viral. 

Join us as we talk with Brian Knutson, a professor of psychology in Stanford's School of Humanities and Sciences, about the frontiers of neuroeconomics, bridging psychology, economics, and neuroscience. 

Learn More

• SPANlab (Symbiotic Project on Affective Neuroscience)
• NeuroChoice: Eight years of forging connections to illuminate and empower choice (Wu Tsai Neurosciences Institute, 2024)
• Brain imaging links stimulant-use relapse to distinct nerve pathway (Wu Tsai Neurosciences Institute, 2022)
• Brain activity data may improve stock market forecasts, study shows (The Guardian, 2021)
• Your brain knows whether a video will go viral online (Stanford Report, 2020)
• Odds are good that risky gambling choices are influenced by a single brain connection, Stanford research shows (Stanford Report, 2016)
• Smile boosts chances of getting a microloan, say Stanford psychologists (Stanford Report, 2015)
• Stanford scientists see how the brain makes environmental decisions (Stanford Report, 2015)

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

We are more isolated from one another than ever before — by our technology, by our political divides, and most of all, by our choices. 

This week on the show, we talk with neuroscientist Ben Rein about why this social isolation is terrible for our health — implicated in not only rising rates of mental illness, but also heart disease, dementia and more.

We discuss Ben's new book, "Why Brains Need Friends: The Neuroscience of Social Connection", published earlier this week, and try to work out a plan for an improved social diet to restore our brains — and our society — to good health.

Learn More:

• Ben Rein's website
• Publisher's website
• References from the book
• Social Journaling template

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We are honored to have won a silver Signal Award for best science and education podcast of 2025, as well as an audience choice award — thanks so much to everyone who voted for the show!

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We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Before the written word — and possibly even before speech — humans have communicated through drawing. From crude scratches in the dirt or on cave walls to the arcane symbology of the laboratory whiteboard, our instinct for conveying our thoughts visually is pretty extraordinary. 

We see or understand something in the world, we build an idea in our mind of what we think we see, and then using our hand and the utensil we re-create it to communicate the share our perception with others. Along the way, we add in our own understanding and experience to craft that communication in ways that might not correspond with a specific object in the world at all.

How we do this — and how we can learn to be better visual communicators — is at the heart of our conversation with Judy Fan, who runs the Cognitive Tools Lab in Stanford University's Department of Psychology.

We've been nominated for a 2025 Signal Award for Best Science & Education Podcast! Vote for us in the "Listener's Choice" category by October 9.

Learn More:

• Cognitive Tools Lab, Stanford Department of Psychology
• Fan, J., et al. (2023) "Drawing as a versatile cognitive tool." Nature Reviews Psychology. (pdf)
• Hawkins, R., Sano, M., Goodman, N., and Fan, J. (2023). Visual resemblance and interaction history jointly constrain pictorial meaning. Nature Communications. [pdf]
• Fan, J., et al. (2020). Relating visual production and recognition of objects in human visual cortex. Journal of Neuroscience. [pdf]
• Fan, J., Yamins, D., and Turk-Browne, N. (2018). Common object representations for visual production and recognition. Cognitive Science. [pdf]
• More recent papers

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Imagine if you couldn't distinguish between dreams and reality. If you couldn't tell whether what you were seeing or hearing was really there in front of you. What if you discovered you couldn't trust your own perceptions? 

Psychosis is something three out of every a hundred people will experience at some point in their lifetimes. But what exactly is it, and is it something people can learn to live with?

Today we're fortunate to have on the show Dr. Jacob Ballon, the founding co-director of Stanford Medicine's Inspire Clinic, and Shannon Pagdon, a doctoral student, peer counselor, and advocate for those living with psychosis.

Learn More:

• Learn about the Inspire 360 Program at Stanford Medicine
• Explore Pagdon's Psychosis Outside the Box project and additional stories of the lived experience of psychosis from the Hearing Voices Network
• Read: "Psychosis 101: Unmasking one of the brain's most mysterious Malfunctions" (Stanford Medicine, 2024)
• Watch: "Demystifying Psychosis" (Stanford Medicine, 2024)
• Read: "Two key brain systems are central to psychosis, Stanford Medicine-led study finds" (Stanford Medicine, 2024)
• Watch: "Schizophrenia: Early signs and treatment options" (Stanford Center for Health Education, 2022)

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Most of us can agree: music is awesome. Regardless of which songs speak to you, music probably plays an important role in your life. The question is, what makes music so powerful? Why does a particular combination of sounds and rhythms grab us and affect us in the way that it does? And is it true that music can help heal patients with Alzheimer's, Parkinson's, PTSD, chronic pain, and more? 

To help us understand what we're learning about the neuroscience of music and how it can heal and enrich our lives, we're speaking with Daniel Levitin. He's a musician and a producer as well as a neuroscientist and bestselling author. His newest book is "I Heard There was a Secret Chord: Music As Medicine." 

Learn More:

• "I Heard There Was a Secret Chord" playlist
• Menon, V., & Levitin, D. J. (2005). The rewards of music listening: Response and connectivity of the mesolimbic system. NeuroImage.
• Menon, V. (2023). 20 years of the default mode network: A review and synthesis. Neuron.
• Salimpoor, V. N., et al. (2013). Interactions between the nucleus accumbens and auditory cortices predict music’s reward value. Science.
• Wang, L., Peng, J.-l., et al. (2022). Effects of rhythmic auditory stimulation on gait and motor function in Parkinson’s disease: Systematic review & meta-analysis. Frontiers in Neurology.
• Zumbansen, A., et al. (2014). Melodic Intonation Therapy: Back to basics for future research. Frontiers in Neurology.
• Moreno-Morales et al. (2020). Music therapy in the treatment of dementia: Systematic review & meta-analysis. Frontiers in Medicine.
• Allen, E. J., et al. (2017). Representations of pitch and timbre variation in human auditory cortex. Journal of Neuroscience.
• Sonos/Apple “Music Makes It Home” study (2016). "This Speaker Company Says Music Makes You Happier." Time Magazine.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

In this episode, we explore the fascinating neuroscience behind how children learn to read with Bruce McCandliss, director of the Stanford Educational Neuroscience Initiative.

Key topics include:
• How our brains "recycle" visual and language circuits to create reading expertise
• The crucial threshold when reading shifts from effortful to automatic
• Why some children struggle more than others to develop reading fluency
• How teachers can tailor instruction to help struggling readers
• The profound ways literacy reshapes our brains and cognition

Join us  for a mind-expanding look at one of humanity's most transformative technologies - written language - and how mastering it quite literally changes our brains.

Learn More

• Learn about the Stanford Educational Neuroscience Initiative at Stanford's Graduate School of Education
• Learn about the "brainwave learning center" at Menlo Park's Synapse School.
• Watch McCandliss present his work at Wu Tsai Neuro's 10th anniversary Symposium

Recent Academic Articles & News Coverage

• Tan LH, Perfetti CA, Ziegler JC, McCandliss B. "Editorial: Neural bases of reading acquisition and reading disability." Frontiers in Neuroscience (2023).
  
  This editorial highlights advances in the neuroscience of reading, focusing on the brain mechanisms underlying reading development and disabilities. The authors summarize key themes across international research, including neuroimaging insights and educational applications.
  
  
• Stanford News. "Stanford-led study links school environment to brain development" (2024) 
  
  Researchers found that children who attend higher-performing schools have accelerated white matter development, including in an area of the brain closely associated with reading skills.
  
  
• Stanford News. "Stanford study on brain waves shows how different teaching methods affect reading development" (2015)
  
  Stanford Professor Bruce McCandliss found that beginning readers who focus on letter-sound relationships, or phonics, increase activity in the area of their brains best wired for reading.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Recognizing a familiar voice is one of the brain’s earliest social feats. But what are the brain circuits that let a newborn pick out mom in a crowded nursery? How do they change as kids turn toward friends and the wider world? And what are we learning about why this instinct fails to develop in the autistic brain?

This week, host Nicholas Weiler joins Stanford neuroscientist Dan Abrams on the quest to understand the neural “hub” that links our brains' hearing centers to the networks that tag voices as rewarding, social, and worth our attention. The findings could reshape early-intervention strategies for kids on the spectrum.

Learn More

• Stanford Speech and Social Neuroscience Lab
  • Participate in a Study
  • Community Support Resources
• Publications
  • Underconnectivity between voice-selective cortex and reward circuitry in children with autism (PNAS, 2013) 
  • Neural circuits underlying mother’s voice perception predict social communication abilities in children (PNAS, 2016) 
  • Impaired voice processing in reward and salience circuits predicts social communication in children with autism (eLife, 2019) 
  •  A Neurodevelopmental Shift in Reward Circuitry from Mother's to Nonfamilial Voices in Adolescence (Journal of Neuroscience, 2022)
• Stanford Coverage
  • "The teen brain tunes in less to Mom's voice, more to unfamiliar voices, study finds" (Stanford Medicine, 2022)
  • "Brain wiring explains why autism hinders grasp of vocal emotion, says Stanford Medicine study" (Stanford Medicine, 2023)

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

In this special crossover episode, we’re doing something a little different. From Our Neurons to Yours host Nicholas joins producer Michael Osborne to co-host his podcast Famous and Gravy for a lively conversation about the extraordinary life and mind of Stephen Hawking.

Hawking, one of the most renowned scientists of our time, lived with ALS for more than 50 years—defying medical expectations while also reshaping how we understand black holes, the universe, and our place within it. While Hawking wasn’t a neuroscientist, his neurological condition and his remarkable communication of complex ideas make his story especially relevant to From Our Neurons to Yours.

In this episode, we explore:

• How Hawking’s life with ALS shaped his outlook and scientific drive
• His talent for making theoretical physics accessible (and entertaining)
• Big philosophical questions about the universe and the nature of existence
• The intersection of science, celebrity, and personal legacy

We hope you enjoy this crossover conversation.

We want to hear from your neurons! Email us at neuronspodcast@stanford.edu

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

If addiction is a disease of the brain, what does that mean for how we treat people—and how we write policy? In this wide-ranging conversation, Stanford addiction expert and policy advisor Keith Humphreys returns to the show to walk us through what neuroscience has taught us about substance use disorders and how that science intersects with law, public health, and politics.

From the biology of craving to the limits of autonomy, we explore the tension between compassion and accountability, and what truly effective treatment and prevention might look like.

Episode Highlights

• Why addiction isn’t just a moral failure—and how brain science explains drug-seeking behavior
• The biological pathways affected by opioids, alcohol, and stimulants—and why some drugs are harder to treat
• What makes some people more vulnerable to addiction than others
• Why effective addiction policy must account for impaired decision-making
• How policy can—and can’t—respond to the science
• The promise and limitations of brain stimulation, psychedelics, and medications like naloxone
• Why prevention—especially for teens—is key to long-term change
• What a more human, effective, and science-based future could look like

Resources & Links

• Learn more about Keith Humphreys
• Learn about the Stanford Network on Addiction Policy
• Read about the NeuroChoice Initiative at Stanford's Wu Tsai Neurosciences Institute
• NIH resources on addiction science and treatment
• Read Humphreys' 2024 report on "The rise and fall of Pacific Northwest drug policy reform, 2020–2024" (Brookings Institution, 2024)
• Read about CARE Courts ( "New California Court for the Mentally Ill Tests a State’s Liberal Values", New York Times, 2024)
• Read Humphreys' 2025 Op-Ed: "Does harm reduction still have a future in San Francisco?" (SF Chronicle, 2025)
• Read a policy summary, "Blue states change course on mental health policies" (Axios, 2025)

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

A generation ago, a big clot in the brain meant paralysis or worse. Today, doctors can diagnose clots on AI-enabled brain scans; provide life-saving, targeted medications; or snake a catheter from a patient’s groin into the brain to vacuum out the clot. If they intervene in time, they can watch speech and movement return before the sedatives wear off. How did that happen—and what’s still missing?

In this episode of From Our Neurons to Yours, Stanford neuroscientist and neurocritical care specialist Marion Buckwalter, MD, PhD retraces the 70-year chain of curiosity-driven research—biochemistry, imaging, materials science, AI—behind today’s remarkable improvements in stroke care. She also warns what future breakthroughs are at stake if support for basic science stalls.

Learn More

Buckwalter Lab site

History of Stroke Care:

• Tissue Plasminogen Activator for Acute Ischemic Stroke (NINDS) On the development of the first-gen clot-busting drug, tPA 
• Optimizing endovascular therapy for ischemic stroke (NINDS) On the development of mechanical clot clearance using thrombectomy.
• Mechanical Thrombectomy for Large Ischemic Stroke (Neurology, 2023) A literature meta-analysis shows that thrombectomy improves stroke outcomes by 2.5X, on top of 2X improvements from clot-busting drugs

The uncertain future of federal support for science

• The Gutting of America’s Medical Research: Here Is Every Canceled or Delayed N.I.H. Grant (New York Times, 2025)
• Trump Has Cut Science Funding to Its Lowest Level in Decades (New York Times, 2025)

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu or... 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

We've all heard stories about someone who went in for surgery and came out...different. A grandmother who struggled with names after hip replacement, or an uncle who seemed foggy for months following cardiac bypass. But why does this happen to some people while others bounce right back?

This week, we explore this question with Dr. Martin Angst, a professor of anesthesiology at Stanford who's studying the biological factors that determine cognitive outcomes after surgery. With support from the Knight Initiative for Brain Resilience, Martin and his team are following hundreds of cardiac surgery patients, tracking everything from blood biomarkers to cognitive performance both before and after their procedures.

Their findings are revealing fascinating insights about what makes some brains more resilient than others when faced with the significant stress of major surgery - insights that could help physicians better advise patients and potentially lead to interventions that enhance resilience.

Read More

• Under the Lights: What Surgery Reveals About Brain Resilience (Knight Initiative for Brain Resilience, 2025)
• Infusion of young donor plasma components in older patients modifies the immune and inflammatory response to surgical tissue injury: a randomized clinical trial (Journal of Translational Medicine, 2025)
• Blood test predicts recovery after hip-replacement surgery, study finds (Stanford Medicine, 2021)
• Can major surgery increase risk for Alzheimer's disease? (Stanford Medicine, 2021)
• Plasma Biomarkers of Tau and Neurodegeneration During Major Cardiac and Noncardiac Surgery (JAMA Neurology, 2021)

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with sound design by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute and supported in part by the Knight Iniative for Brain Resilience.

Get in touch

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Imagine being trapped in your own body, unable to move or communicate effectively. This may seem like a nightmare, but it is a reality for many people living with brain or spinal cord injuries.

We're re-releasing one of our favorite episodes from the archives: our 2024 conversation with Jaimie Henderson, a Stanford neurosurgeon leading groundbreaking research in brain-machine interfaces. Henderson shares how multiple types of brain implants are currently being developed to treat neurological disorders and restore communication for those who have lost the ability to speak.

We also discuss the legacy of the late Krishna Shenoy and his transformative work in this field.

Learn more
Henderson's Neural Prosthetics Translational Lab

BrainGate Consortium – "Turning thought into action"

‘Unprecedented’ level of control allows person without use of limbs to operate virtual quadcopter (University of Michigan, 2025)

Brain Implants Helped 5 People Recover From Traumatic Injuries (New York Times, 2023)

The man who controls computers with his mind (New York Times Magazine, 2022)

Software turns ‘mental handwriting’ into on-screen words, sentences (Stanford Medicine, 2021)

• Related video: Wu Tsai Neurosciences Institute, 2021
• Related publication: Nature, 2021

Learn about the work of the late Krishna Shenoy

Krishna V. Shenoy (1968–2023) (Nature Neuroscience, 2023)

Krishna Shenoy, engineer who reimagined how the brain makes the body move, dies at 54 (Stanford Engineering, 2023)

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with sound design by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute and supported in part by the Knight Iniative for Brain Resilience.

Get in touch

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

This week on the show, we're have our sights set on healthy aging. What would it mean to be able to live to 80, 90 or 100 with our cognitive abilities intact and able to maintain an independent lifestyle right to the end of our days? 

We're joined by Beth Mormino and Anthony Wagner who lead the Stanford Aging and Memory Study, which recruits cognitively healthy older adults to understand what makes their brains particularly resilient — and how more of us could join them in living the dream of healthy aging.

Learn More

• Stanford Aging and Memory Study (SAMS)
• Stanford Memory Lab
• Mormino Lab

Further Reading

• Alzheimer's 'resilience signature' predicts who will develop dementia—and how fast (Knight Initiative for Brain Resilience, 2025)
• Latest Alzheimer's lab tests focus on memory loss, not brain plaques (NPR, 2025)

References

• Trelle, A. N., ... & Wagner, A. D. (2020). Hippocampal and cortical mechanisms at retrieval explain variability in episodic remembering in older adults. eLife, 9:e55335. doi: 10.7554/eLife.55335 PDF | PMID:32469308
• Trelle, A. N., ..., Wagner, A. D., Mormino, E. C., & Wilson, E. N. (2025). Plasma Aβ42/Aβ40 is sensitive to early cerebral amyloid accumulation and predicts risk of cognitive decline across the Alzheimer’s disease spectrum. Alzheimer’s & Dementia, 21:e14442. PDF | PMID:39713875
• Sheng, J., ..., Mormino, E., & Wagner, A. D. (submitted). Top-down attention and Alzheimer's pathology impact cortical selectivity during learning, influencing episodic memory in older adults.  Preprint

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with sound design by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute and supported in part by the Knight Iniative for Brain Resilience.

Get in touch

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out with some listener research, and we'll be in touch with some follow-up questions.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

This week on the show: Are we ready to create digital models of the human brain? 

Last month, Stanford researcher Andreas Tolias and colleagues created a "digital twin" of the mouse visual cortex. The researchers used the same foundation model approach that powers ChatGPT, but instead of training the model on text, the team trained in on brain activity recorded while mice watched action movies. The result? A digital model that can predict how neurons would respond to entirely new visual inputs. 

This landmark study is a preview of the unprecedented research possibilities made possible by foundation models of the brain—models which replicate the fundamental algorithms of brain activity, but can be studied with complete control and replicated across hundreds of laboratories.

But it raises a profound question: Are we ready to create digital models of the human brain? 

This week we talk with Wu Tsai Neuro Faculty Scholar Dan Yamins, who has been exploring just this question with a broad range of Stanford colleagues and collaborators. We talk about what such human brain simulations might look like, how they would work, and what they might teach us about the fundamental algorithms of perception and cognition.

Learn more

AI models of the brain could serve as 'digital twins' in research (Stanford Medicine, 2025)

An Advance in Brain Research That Was Once Considered Impossible (New York Times, 2025)

The co-evolution of neuroscience and AI (Wu Tsai Neuro, 2024)

Neuroscientists use AI to simulate how the brain makes sense of the visual world (Wu Tsai Neuro, 2024)

How Artificial Neural Networks Help Us Understand Neural Networks in the Human Brain (Stanford Institute for Human-Centered AI (HAI), 2021)

Related research

A Task-Optimized Neural Network Replicates Human Auditory Behavior... (PNAS, 2014)

Vector-based navigation using grid-like representations in artificial agents (Nature, 2018)

The neural architecture of language: Integrative modeling converges on predictive processing (PNAS, 2021)

Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations... (Neuron, 2021) 

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

If you spend any time chatting with a modern AI chatbot, you've probably been amazed at just how human it sounds, how much it feels like you're talking to a real person. Much ink has been spilled explaining how these systems are not actually conversing, not actually understanding — they're statistical algorithms trained to predict the next likely word. 

But today on the show, let's flip our perspective on this. What if instead of thinking about how these algorithms are not like the human brain, we talked about how similar they are? What if we could use these large language models to help us understand how our own brains process language to extract meaning? 

There's no one better positioned to take us through this than returning guest Laura Gwilliams, a faculty scholar at the Wu Tsai Neurosciences Institute and Stanford Data Science Institute, and a member of the department of psychology here at Stanford.

Learn more:

Gwilliams' Laboratory of Speech Neuroscience

Fireside chat on AI and Neuroscience at Wu Tsai Neuro's 2024 Symposium (video)

The co-evolution of neuroscience and AI (Wu Tsai Neuro, 2024)

How we understand each other (From Our Neurons to Yours, 2023)

Q&A: On the frontiers of speech science (Wu Tsai Neuro, 2023)

Computational Architecture of Speech Comprehension in the Human Brain (Annual Review of Linguistics, 2025)

Hierarchical dynamic coding coordinates speech comprehension in the human brain (PMC Preprint, 2025)

Behind the Scenes segment:

By re-creating neural pathway in dish, Sergiu Pasca's research may speed pain treatment (Stanford Medicine, 2025)

Bridging nature and nurture: The brain's flexible foundation from birth (Wu Tsai Neuro, 2025)

Get in touch

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out with some listener research, and we'll be in touch with some follow-up questions.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with sound design by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute and supported in part by the Knight Initiative for Brain Resilience at Wu Tsai Neuro.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

We've talked about glia and sleep. We've talked about glia and neuroinflammation. We've talked about glia in the brain fog that can accompany COVID or chemotherapy. We've talked about the brain's quiet majority of non–neuronal cells in so many different contexts that it felt like it was high time for us to take a step back and look at the bigger picture. After all, glia science was founded here at Stanford in the lab of the late, great Ben Barres.

No one is better suited to take us through this history and lead us to the frontiers of the field than today's guest, Brad Zuchero. 

A former Barres lab postdoc, and now an emerging leader in this field in his own right, Brad gives us an overview of our growing understanding of the various different kinds of glia and their roles in brain function, and shares the  exciting  discoveries emerging from his lab — including growing evidence of a role for myelin in Alzheimers disease.

Learn More

• Neuroscientist Ben Barres, who identified crucial roles of glial cells, dies at 63 (Stanford Medicine, 2017)
• How exciting! Study reveals neurons rely on glial cells to become electrically excitable (Stanford Neurosurgery, 2024)
• Unlocking the secrets of myelin repair (Wu Tsai Neurosciences Institute, 2024)
• Q&A: Linking sleep, brain insulation, and neurological disease with postdoc Daniela Rojo (Knight Initiative for Brain Resilience, 2023)
• From angel to demon: Why some brain cells go ‘bad’ (Scope Blog, 2021)

Get in touch

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out with some listener research, and we'll be in touch with some follow-up questions.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute and supported in part by the Knight Initiative for Brain Resilience at Wu Tsai Neuro.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

As we gain a better understanding of how misfiring brain circuits lead to mental health conditions, we'd like to be able to go in and nudge those circuits back into balance. But this is hard — literally — because the brain is encased in this thick bony skull. Plus, often the problem you want to target is buried deep in the middle of a maze of delicate brain tissue you need to preserve.

Today we're going to be talking with neuroscientists who aim to solve this problem with sound. And not just any sound: ultrasound.

Kim Butts Pauly and Raag Airan from the Stanford Department of Radiology are developing ultrasound technology in a couple of different ways to essentially reach into the brain to treat brain disorders that are otherwise hard to access. These uses of ultrasound haven't yet reached the clinic, but could be entering clinical testing in people in the next few years. 

Mentioned on the Show

• Meet the 2025 Neurosciences Postdoctoral Scholars (Wu Tsai Neuro, 2025)
• Butts Pauly Lab
• Airan Lab
• Non-invasive brain stimulation opens new ways to study and treat the brain (Wu Tsai Neuro, 2025)
• Advancing Brain Resilience: 2024 Catalyst and Pilot Grant Awards (Knight Initiative for Brain Resilience, 2024)
• Researchers find response to ketamine depends on opioid pathways, but varies by sex (Stanford Medicine)
• A New Focused Ultrasound Neuromodulation System for Preclinical Brain Research (Focused Ultrasound Foundation, 2024)
• Translating Neuroscience Advances into Real World Uses (Wu Tsai Neuro, 2023)

Get in touch
We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out with some listener research, and we'll be in touch with some follow-up questions.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute and supported in part by the Knight Initiative for Brain Resilience at Wu Tsai Neuro.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

We're kicking off our new season with a deep dive into one of neuroscience's most fascinating mysteries: sleep. This unconscious third of our lives isn't just about rest – it's absolutely critical for brain health, memory consolidation, and overall well-being. But here's where it gets intriguing: recent research suggests that increased napping as we age might be an early warning sign of Alzheimer's disease.

To unpack this complex relationship, we're thrilled to welcome back Erin Gibson, assistant professor of psychiatry at Stanford School of Medicine and Wu Tsai Neuro affiliate. 

We'll explore whether age-related sleep changes are potential contributors to brain degeneration or valuable early indicators of otherwise invisible brain disorders, possibly opening doors for early intervention.

We'll also learn about Gibson's research, supported by the Knight Initiative for Brain Resilience at Wu Tsai Neuro, which investigates how myelin—the insulation of our nerve cells—could be a key missing link in understanding the relationship between sleep and brain health.

Join us for an enlightening discussion that might just change how you think about your nightly slumber and its profound impact on long-term cognitive function. 

Mentioned on the Show

• Dopamine and serotonin work in opposition to shape learning
• Gibson Lab at Stanford University School of Medicine
• Surprising finding links sleep, brain insulation, and neurodegeneration | Knight Initiative
• Extended napping in seniors may signal dementia | UCSF

Related Episodes

• Respect your Biological Clock | Erin Gibson
• Why sleep keeps us young | Luis de Lecea
• Why new Alzheimer's drugs don't work | Mike Greicius

Get in touch
We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out with some listener research, and we'll be in touch with some follow-up questions.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker and research assistance by G Kumar. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute and supported in part by the Knight Initiative for Brain Resilience. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Today, we are speaking with the one and only Robert Sapolsky, a Stanford neurobiologist, a MacArthur "Genius", and best-selling author of books exploring the nature of stress, social behavior, and — as he puts it — "the biology of the human predicament."

In his latest book, Determined, Sapolsky assertively lays out his vision of a world without free will — a world where as much as we feel like we're making decisions, the reality is that our choices are completely determined by biological and environmental factors outside of our control.

Before we get into it, it's worth saying that where this is heading, the reason to care about this question is that Sapolsky's argument has profound moral implications for our understanding of justice, personal responsibility, and whether any of us deserve to be judged or praised for our actions.

Mentioned on the Show

• Determined: A Science of Life Without Free Will (Sapolsky, 2023)
• Behave: The Biology of Humans at Our Best and Worst (Sapolsky, 2018 )
• A Primate's Memoir: A Neuroscientist's Unconventional Life Among the Baboons (Sapolsky, 2002)
• Free Agents: How Evolution Gave Us Free Will (Mitchell, 2023) 
• Sapolsky / Mitchell Debates – Part 1 (2023), Part 2 (2024)

Related Episodes

• Is addiction a disease? | Keith Humphreys
• Brain stimulation & "psychiatry 3.0" | Nolan Williams
• How we understand each other | Laura Gwilliams

Get in touch
We're doing some listener research and we want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out, and we'll be in touch with some follow-up questions.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Join us as we dive back into the world of psychedelic medicine with anesthesiologists Boris Heifets and Theresa Lii, who share intriguing new data that sheds light on how ketamine and placebo effects may interact in treating depression.

We explore provocative questions like: How much of ketamine's antidepressant effect comes from the drug itself versus the excitement of being in a psychedelics trial? What do we know about how placebo actually works in the brain? And should we view the placebo effect as a feature rather than a bug in psychiatric treatment?

Join us as we examine the complex interplay between psychoactive drugs, the brain's own opioid system, and the healing power of hope in mental health care.

Related research

• Preprint: Opioids Diminish the Placebo Antidepressant Response: A Post Hoc Analysis of a Randomized Controlled Ketamine Trial (medRxiv, 2024)
• Randomized trial of ketamine masked by surgical anesthesia in patients with depression (Nature Mental Health, 2023)
  
  

Related episodes

• Psychedelics, placebo, and anesthetic dreams | Boris Heifets (Part 1) 
• Psychedelics Inside Out: How do LSD and psilocybin alter perception? | Boris Heifets (Part 2)
• OCD and Ketamine | Carolyn Rodriguez
• Psychedelics and Empathy: Why are psychiatrists taking a fresh look at MDMA? | Rob Malenka

Related news

• Researchers find response to ketamine depends on opioid pathways, but varies by sex (Stanford Medicine, 2024)
• The rebirth of psychedelic medicine (Wu Tsai Neuro, 2023)
• Can Psychedelic Drugs Treat Physical Pain? (Scientific American, 2022)
• Scientists Say A Mind-Bending Rhythm In The Brain Can Act Like Ketamine (NPR, 2020)

Get in touch
We're doing some listener research and we want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out, and we'll be in touch with some follow-up questions.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Today, we are going back into the archives for one of my favorite episodes: We are talking to neuroscientist, entrepreneur, and best-selling author, David Eagleman. We're talking about synaesthesia — and if you don't know what that is, you're about to find out.

Special Note
We are beyond thrilled that From Our Neurons to Yours has won a 2024 Signal Award in the Science Podcast category. It's a big honor — thanks to everyone who voted!

---

Imagine Thursday. Does Thursday have a color? What about the sound of rain — does that sound taste like chocolate? Or does the sound of a saxophone feel triangular to you? 

For about 3% of the population, the sharp lines between our senses blend together. Textures may have tastes, sounds, shapes, numbers may have colors. This sensory crosstalk is called synesthesia, and it's not a disorder, just a different way of experiencing the world. 

To learn about the neuroscience behind this fascinating phenomenon and what it tells us about how our brains perceive the world, we were fortunate enough to speak with David Eagleman, a neuroscientist, author, and entrepreneur here at Stanford who has long been fascinated by synesthesia and what it means about how our perceptions shape our reality.

Links

• Livewired (book)
• Incognito (book)
• Wednesday Is Indigo Blue (book)
• Neosensory (website)
• Synesthete.org (website)
• Inner Cosmos with David Eagleman (podcast)

Get in touch
We're doing some listener research and we want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out, and we'll be in touch with some follow-up questions.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Earlier this year, President Obama's signature BRAIN Initiative, which has powered advances in neuroscience for the past 10 years, had its budget slashed by 40%. 

Over the past decade, the BRAIN Initiative made roughly $4 billion in targeted investments in more than 1500 research projects across the country and has dramatically accelerated progress tackling fundamental challenges in neuroscience. As we head into the next federal budget cycle, the future of the initiative remains uncertain. 

Today we take stock of how the BRAIN Initiative transformed neuroscience over the past 10 years, and what the outlook is for the future of the field.

To give us an unparalleled behind the scenes view, we are fortunate to have Bill Newsome with us on the show. A world renowned expert in the brain mechanisms of visual perception and decision-making, Bill co-chaired the original BRAIN Initiative planning committee in 2013 (the same year he became the founding director of the Wu Tsai Neurosciences Institute here at Stanford). Don't miss this conversation!

Learn More

• About the BRAIN Initiative 
  • NIH BRAIN Initiative website
  • A Leader of Obama's New Brain Initiative Explains Why We Need It (WIRED, April 2013)
  • BRAIN @ 10: A decade of innovation (Neuron, Sept 2024)
  • Reflecting on a decade of BRAIN—10 Institutes and Centers, one mission (NIH BRAIN Blog, Aug 2024)
    
    
• About last year's funding cuts: 
  • Understanding the BRAIN Initiative budget (NIH BRAIN Initiative)
  • $278 million cut in BRAIN Initiative funding leaves neuroscientists in limbo (The Transmitter, April 2024)
  • The Future of BRAIN Initiative Funding Remains Unclear (The Transmitter, July 2024)

Get in touch
We're doing some listener research and we want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out, and we'll be in touch with some follow-up questions.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Given the widespread legalization of cannabis for medical and recreational uses, you'd think we'd have a better understanding of how it works. But ask a neuroscientist exactly how cannabinoid compounds like THC and CBD alter our perceptions or lead to potential medical benefits, and you'll soon learn just how little we know.

We know that these molecules hijack an ancient signaling system in the brain called the "endocannabinoid" system (translation: the "cannabinoids within"). These somewhat exotic signaling molecules (made of fatty lipids and traveling "backwards" compared to other transmitters) have been deeply mysterious until recently, when new tools made it possible to visualize their activity directly in the brain.

So what is the "day job" of the endocannabinoid system — and how does it connect to the dramatic highs that come with taking THC or the medical benefits of CBD? 

To unpack all this, we're talking this week with neuroscientist Ivan Soltesz, the James Doty Professor of Neurosurgery and Neuroscience at Stanford, and a leading expert on the endocannabinoid system.

Learn More

• The Soltesz Lab
• "Weeding out bad waves: towards selective cannabinoid circuit control in epilepsy" (Soltesz et al, Nature Reviews Neuroscience, 2015) 
• "Keep off the grass? Cannabis, cognition and addiction" (Parsons et al, Nature Reviews Neuroscience, 2016)
• "Marijuana-like brain substance calms seizures but increases aftereffects, study finds" (Goldman, Stanford Medicine News, 2021)
• "Retrograde endocannabinoid signaling at inhibitory synapses in vivo" (Dudok et al, Science, 2024)

Vote for us!
We are a finalist for a prestigious Signal Award for Best Science Podcast of 2024! Share your love for the show by voting for us in the Listener's Choice category by October 17. Thanks in advance!

Get in touch:
We're doing some listener research and we want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out, and we'll be in touch with some follow-up questions.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Today we are re-releasing an episode we did last year with Stanford neurobiologist Lisa Giocomo exploring the intersection of memory, navigation and the boundaries we create between ourselves and the world around us.

This episode was inspired by the idea of memory palaces. The idea is simple: Take a place you're very familiar with, say the house you grew up in, and place information you want to remember in different locations within that space. When it's time to remember those things, you can mentally walk through that space and retrieve those items.

This ancient technique reveals something very fundamental about how our brains work. It turns out that the same parts of the brain are responsible both for memory and for navigating through the world.

Scientists are learning more and more about these systems and the connections between them, and it's revealing surprising insights about how we build the narrative of our lives, how we turn our environments into an internal model of who we are, and where we fit into the world.

Join us to learn more about the neuroscience of space and memory.

Before we get into this week’s episode, we have a favor to ask. We're working to make this show even better, and we want to hear from you. We're in the process of gathering listener input and feedback. If you'd be willing to help out, send us a short note and we'll be in touch. As always, we are at neuronspodcast@stanford.edu

Learn more:

• About Lisa Giocomo’s research
• About the story of Henry Molaison (patient H. M.), who lost the ability to form new memories after epilepsy treatment removed his hippocampus.
• About the 2014 Nobel Prize in medicine, awarded to John O’Keefe and to May-Britt and Edvard Moser (Giocomo’s mentors) for their discovery of the GPS system of the brain.
• About Memory Palaces, a technique used since ancient times to enhance memory using mental maps.

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

In the past few years, Big Pharma has released not one, but three new treatments for Alzheimer’s disease.

Aducanemab (2021), Lecanemab (2023), and Donanemab (2024), are the first treatments to effectively clear the brain of amyloid plaques — the sticky protein clumps whose build-up in the brain has defined the disease for decades. The problem? They may not help patients at all.

Today’s guest, Stanford neurologist Mike Greicius, considers the new amyloid-clearing drugs a major disappointment — and worse, says they likely do more harm than good for patients.

Despite this critique, Greicius, thinks that the next few years will be an exciting time for novel Alzheimer’s therapies, as growing biological understanding of Alzheimer’s risk and resilience bear fruit with promising new approaches to treatment.

Learn More:

Greicius is the Iqbal Farrukh and Asad Jamal Professor of Neurology and Neurological Sciences at Stanford Medicine, and a member of the Knight Initiative for Brain Resilience and Alzheimer's Disease Research Center at Stanford University.

Amyloid Drug Skepticism:

• Substantial Doubt Remains about the Efficacy of Anti-Amyloid Antibodies
  (Commentary, Journal of Alzheimer's Disease, 2024)
• New Drug Approved for Early Alzheimer’s (New York Times, 2024)
• Alzheimer's drug adoption in US slowed by doctors' skepticism (Reuters, 2024)
• One step back: Why the new Alzheimer’s plaque-attack drugs don’t work (Stanford Medicine Scope Blog, 2024)

Alzheimer's Genetics Research:

• Knight-funded research uncovers gene mutations that may prevent Alzheimer’s Disease (Knight Initiative for Brain Resilience, 2024)
• Why is a common gene variant bad for your brain? (Stanford Medicine Magazine, 2024)
• Scientists find genetic Alzheimer’s risk factor tied to African ancestry (Stanford Medicine, 2023)

Episode Credits

This episode was produced by Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Getting help for depression can be like purgatory. Setting aside for a moment the stigma and other barriers to seeking treatment in the first place, finding the right combination of medication and/or therapy can be a months- or years-long process of trial and error. And for about one third of people, nothing seems to work.

Today we're talking with Dr. Leanne Williams, the founding director of the Stanford Center for Precision Mental Health and Wellness and Vincent V.C. Woo Professor in the Stanford Department of Psychiatry and Behavioral Sciences.

Williams and her team have recently used brain imaging and machine learning techniques to identify six distinct "biotypes" of depression — each of which may require a different approach to treatment. Beyond setting the stage for more targeted therapies, better understanding the biology behind the disease could finally cut through the stigma of one of the world's most common brain disorders.

Learn more

• Williams' Personalized and Translational Neuroscience Lab (PANlab)
• The Stanford Center for Precision Mental Health and Wellness
• NEW: Cognitive behavioral therapy enhances brain circuits to relieve depression (Stanford Medicine, 2024)
• Six distinct types of depression identified in Stanford Medicine-led study
  (Stanford Medicine, 2024)
  • Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety (Nature Medicine, 2024)
• Brain scans could help personalize treatment for people who are depressed or suicidal (Science, 2022)
• Williams' scientific publications
  
  

Episode Credits
This episode was produced by Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Today, we're talking with Stanford neuro-oncologist, Michelle Monje. This is actually the third time we've had Michelle on the show, in part because she's been a pioneer of three exciting frontiers in neuroscience — so far! 

This week, we're going to talk about cancer neuroscience. Michelle founded this new field with her discovery that deadly brain tumors not only link up physically with the healthy brain tissue surrounding them, but the cancers actually need the brain's electrical activity to grow and spread.

It turns out that many cancers — not only in the brain — depend on nervous system innervation for their survival. Understanding this dependent relationship better may present an exciting new line of attack for oncology. 

Join us to learn more!

News coverage

• Brain tumors caused by normal neuron activity in mice predisposed to such tumors
• Brain tumors form synapses with healthy neurons, Stanford-led study finds
• Deadly brain cancers act like 'vampires' by hijacking normal cells to grow
• Engineered immune cells target broad range of pediatric solid tumors in mice

Relevant Publications

• Glioma synapses recruit mechanisms of adaptive plasticity
• Glioblastoma remodelling of human neural circuits decreases survival
• Electrical and synaptic integration of glioma into neural circuits
• Targeting neuronal activity-regulated neuroligin-3 dependency in high-grade glioma
• Neuronal Activity Promotes Glioma Growth through Neuroligin-3 Secretion

Review Articles

• The neuroscience of cancer
• Cancer hallmarks intersect with neuroscience in the tumor microenvironment
• Roadmap for the Emerging Field of Cancer Neuroscience

Episode Credits
This episode was produced by Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

This week on From Our Neurons to Yours, we're talking about using new techniques for growing human brain tissue in the lab to solve a rare neurological disorder.

Host Nicholas Weiler sits down with Sergiu Pasca an innovative Stanford scientist who has developed groundbreaking technologies to grow human brain tissue in the lab, creating "organoids" and "assembloids" that model brain disorders like autism and schizophrenia. 

Pasca describes the process of turning patient skin cells into embryo-like stem cells and then into functional brain cells that can live and develop for over two years, and even be transplanted into rat brains to study their growth and development.

It may sound like science fiction, but these techniques represent a major step toward understanding and treating complex neurological conditions such as Timothy syndrome, a rare genetic disorder whose biology Pasca has spent the past 15 years unraveling. 

Join us for fascinating glimpse into the future of developmental neuroscience and  potential for new therapies for our remarkable self-assembling brains.

Learn more

• Brain organoids and assembloids are new models for elucidating, treating neurodevelopmental disorders | News Center | Stanford Medicine
• Impact of genes linked to neurodevelopmental diseases found | News Center | Stanford Medicine
• Scientists discover how dozens of genes may contribute to autism - The Washington Post
• Study suggests approach for treating rare disorder | National Institutes of Health (NIH)
• How lab-grown brain cells can now help us understand brain disorders

Episode Credits
This episode was produced by Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Today, we're going to talk about virtual reality and how it could be used to treat depression.

We're talking with psychiatrist Kim Bullock, the founding director of Stanford's Neurobehavioral Clinic and Virtual Reality & Immersive Technologies (VRIT) program. 

Dr. Bullock — a physician certified in Neuropsychiatry, Psychiatry, and Lifestyle Medicine — calls herself a "radical behaviorist." Like other practitioners of cognitive behavioral therapy (CBT), she sees the troublesome thoughts and emotional states of many psychiatric disorders as just another form of behavior, which can be reshaped through self awareness and practice — much like you might work at avoiding junk food or not biting your nails.

Of course, one of the biggest challenges is the practice part. It's no easy task for patients to practice experiencing the world in a more positive, healthy way. This is why Bullock is eager for practitioners of CBT and related forms of psychotherapy to embrace virtual reality technologies — which enable psychiatrists to prescribe precisely calibrated "experiences" to treat cognitive & behavioral disorders.

We started by discussing early results from a clinical trial for a virtual reality-enhanced intervention major depressive disorder, which Dr. Bullock recently launched with support from the Wu Tsai Neurosciences Institute Neuroscience:Translate program. 

Join us to learn more about how VR is transforming the world of psychotherapy!

Learn More

• Imagining virtual reality as a simple tool to treat depression  (Stanford Medicine, 2024)
• Extended Reality(XR) enhanced behavioral activation for treatment of Major Depressive Disorder (2022 Neuroscience:Translate grant)
• Clinical Trial: Virtual Reality Behavioral Activation: An Intervention for Major Depressive Disorder
• The Stanford Virtual Reality and Immersive Technologies (VR-IT) Program
• Recent VR-IT publications

Episode Credits
This episode was produced by Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

The skin is full of contradictions. It’s soft and sensitive, but also tough and resilient, even self-healing. It’s both the barrier that protects us from infections and our most intimate connection with the outside world. 

Today’s guest, Zhenan Bao, has spent the last two decades reverse engineering the skin’s many remarkable properties in order to create wearable electronics that are just as soft, flexible, and versatile as the skin itself.

Bao envisions a world where stick-on devices could help heal injuries, manage anxiety, and even enhance our perceptions, and soft, implanted devices could give neurosciences new insights into the workings of the body and brain.

In today’s episode, we talk about what makes the skin such an intriguing problem for an engineer like Bao; some of the many applications of her technology for medicine, neuroscience, and mental health; and its potential to enhance or extend our perceptions.

Bao is K.K. Lee Professor of Chemical Engineering at Stanford and founding director of eWEAR — the Stanford Wearable Electronics Initiative.

Learn More

Bao Lab website

Stanford Wearable Electronics Initiative (eWEAR)

Advancing toward wearable, stretchable electronics | Stanford News (2024)

Soft ‘e-skin’ that talks to the brain | Stanford News (2023)

The Science of Skin | STANFORD magazine (2023)

Skin Inspired Electronics: Changing the Future of Electronics with Zhenan Bao (2023)

Dr. Zhenan Bao Keynote - Stanford Center for Precision Mental Health & Wellness Symposium (2022)

Episode Credits
This episode was produced by Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

This week, we're diving into recent research that sheds light on a new form of brain plasticity involving changes in the insulation of nerve fibers — called myelin.  It turns out that myelin plasticity is implicated in a number of serious conditions, from epilepsy to drug abuse and addiction.

We're excited to bring back two previous guests on the show to share their insights on this previously unknown form of plasticity:  Stanford psychiatry professor Rob Malenka (S1 E1 - Psychedelics and Empathy),  a pioneer in the study of synaptic plasticity and addiction, and neuro-oncologist Michelle Monje (S1 E12 - Brain Fog), who made some of the very first observations of myelin plasticity in the brain, essentially founding this field.

Together, they discuss their recent findings on the role of myelin plasticity in opioid addiction and its implications for understanding addictive behaviors.

Get ready to nerd out as we uncover a new angle on our brain's remarkable capacity for change.

Learn More

Myelination in the brain may be key to ‘learning’ opioid addiction | Stanford Medicine (2024)

Adaptive and maladaptive myelination in health and disease | Nature Reviews Neurology (2022)

Brain plasticity promotes worsening of epileptic seizures, study finds | Stanford Medicine (2022)

The Brain Learns in Unexpected Ways | Scientific American (2020)

Brain boosting: It's not just grey matter that matters | New Scientist (2015)

Neural activity promotes brain plasticity through myelin growth, researchers find | News Center | Stanford Medicine (2014)

Episode Credits
This episode was produced by Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

-- We're re-releasing our conversation with Carla Shatz, one of our favorites from the archive, which comes up all the time on the show in the context of brain plasticity and aging. Enjoy, and see you next time! -NW --
 
When we're kids, our brains are amazing at learning. We absorb information from the outside world with ease, and we can adapt to anything. But as we age, our brains become a little more fixed. Our brain circuits become a little less flexible.

You may have heard of a concept called neuroplasticity, our brain's ability to change or rewire itself. This is of course central to learning and memory, but it's also important for understanding a surprisingly wide array of medical conditions, including things like epilepsy, depression, even Alzheimer's disease.

Today's guest, Carla Shatz, is a pioneer in understanding how our brains are sculpted by our experiences. She's credited with coining the phrase neurons that fire together, wire together. Her work over the past 40 years is foundational to how we understand the brain today.

So I was excited to talk to Shatz about our brain's capacity for change, and I started off by asking about this sort of simple question, why exactly do we have this learning superpower as kids to do things like pick up languages and why does it go away?

Shatz is Sapp Family Provostial Professor of Biology and of Neurobiology and the Catherine Holman Johnson director of Stanford Bio-X.

Learn More

• In conversation with Carla Shatz (Nature Neuroscience)
• Carla Shatz, her breakthrough discovery in vision and the developing brain (Stanford Medicine Magazine)
• Making an Old Brain Young | Carla Shatz (TEDxStanford)
• Carla Shatz Kavli Prize Laureate Lecture
• Stanford scientists discover a protein in nerves that determines which brain connections stay and which go (Wu Tsai Neurosciences Institute)

Episode Credits
This episode was produced by Webby award-winning producer Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Hi everyone — quick programming announcement. As we head into summer, we'll be moving to an every-other-week cadence as we prepare more conversations from the frontiers of neuroscience. I'm very excited about what we're working on for you, so stay tuned!

In the meantime, we'd love to hear from you! Email us at neuronspodcast@stanford.edu with your thoughts, praise, critiques, or just to say hello. 

That's all for now. See you next time!

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

The powerful new generation of AI tools that has come out over the past few years —  DALL-E, ChatGPT, Claude, Gemini, and the rest — have blown away our old ideas about what AI can do and raised questions about what it means for computers to start acting... intelligent?

This week, we ask what the rise of these systems might teach us about our own biological intelligence — and vice versa. What does modern neuroscience have to say about how AI could become as flexible, efficient, and resilient as the human brain.

Few people are better positioned to speak to the intersection of neuroscience and AI than today's guest: Surya Ganguli. 

Ganguli's lab produced some of the first diffusion models — which are at the foundation of today's AI revolution — and is now working to understand how complex emergent properties arise from biological and artificial neural networks.

Ganguli is a member of the Neuroscience Theory Center at the Wu Tsai Neurosciences Institute, a Senior Fellow at Stanford's Institute for Human-Centered Artificial Intelligence (HAI), and an associate professor in Stanford's Department of Applied Physics. 

Further Reading

• Interpreting the retinal neural code for natural scenes: From computations to neurons (Neuron, 2023)
• Beyond neural scaling laws: beating power law scaling via data pruning (arXiv, 2023)
• Cortical layer-specific critical dynamics triggering perception (Science, 2019)
  • Stanford team stimulates neurons to induce particular perceptions in mice's minds (Stanford Medicine, 2019)
• What DALL-E reveals about human creativity (Wu Tsai Neurosciences Institute, 2023)

Visit us!
Want to learn more about AI and Neuroscience? Join us at Wu Tsai Neuro's annual symposium on October 17, 2024, which will showcase the frontiers of biological and artificial intelligence research. (More details coming soon!)

Episode credits
This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

At some point in our lives, we all struggle with memory — learning a new name, remembering that book you were reading just yesterday or that word on the tip of your tongue.

So what can neuroscience teach us about why we remember, why we forget, and how we might even improve our memories?

To answer this question, I spoke with neuroscientist Anthony Wagner, a memory expert in Stanford's Department of Psychology.

Learn More
Wagner lab website

• Recent lab publications
• Anthony's new book: Brain Sciences for Lawyers, Judges, and Policymakers (2024). Jones, O. D., Schall, J. D., Shen, F. X., Hoffman, M. B., & Wagner, A. D. Oxford University Press. Order

Stress thwarts our ability to plan ahead by disrupting how we use memory, Stanford study finds (Stanford News 2020)

Stanford researchers link poor memory to attention lapses and media multitasking (Stanford News, 2020)

Episode credits
This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Today, we're going to talk about how psychedelics alter our perception of reality and what that says about... reality!

Welcome  to part two of our conversation with Stanford anesthesiologist and psychedelics researcher Boris Heifets!

Last time, we talked with Boris about the question of why psychedelics help people with mental health disorders.

This week, we're going to dive into a different question, which is to explore how psychedelics work in the brain. How are they able to alter something as fundamental as our perceptions of reality — and could understanding these effects teach us about the nature of our everyday perceptions?

Learn more:

• Review: Therapeutic mechanisms of psychedelics and entactogens (Heifets and Olsen, 2024)
• As psychedelics near approval, there’s no consensus on how they work (STAT News, 2023)
• How do psychedelics work? (Carhart-Harris, 2019)
• Heifets Lab website

Episode credits
This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Psychedelics are a hot topic in psychiatry today.  They’re producing dramatic reversals for patients with severe depression, PTSD, and other mental health conditions. But scientists still have fundamental questions about why these drugs are so effective.

For example, is the "trip" even necessary? Some think it is not and are working to design drugs with similar brain chemistry but no psychoactive effects — “Taking the trip out of the drug.”

Others suspect that many of the benefits of psychedelics can be attributed to hype and expectation: People expect to get better, so they do.

Normally scientists control for placebo using a blinded study where patients don't know if they're getting the real treatment or a sugar pill. But how are you going to do this with mind-altering substances? Patients are probably going to figure out pretty quickly whether they got a sugar cube with or without LSD.

Today's guest, Stanford anesthesiologist Boris Heifets, has come up with a particularly clever strategy to tease apart the psychedelic experience, biochemistry, hype and placebo. 

Listen for the whole story!

Learn more:

• The Heifets Lab at Stanford Medicine
• The Early Days of a Psychedelic Resurgence? (Stanford Medicine Magazine, 2024)

Depression, ketamine & anesthesia:

• Randomized trial of ketamine masked by surgical anesthesia in patients with depression (Nature 2023 - paywall)
• Ketamine’s effect on depression may hinge on hope (Stanford Medicine, 2023)

Anesthetic dreams and trauma recovery:

• Case report 1: dreaming & knife attack (A & A Practice, 2022 - paywall)
• Case report 2: dreaming & PTSD (American Journal of Psychiatry, 2024)
• Could anesthesia-induced dreams wipe away trauma? (Stanford Medicine, 2024)
• Video: Mothers with PTSD following their sons' deaths talk about dreaming of their sons under anesthesia (Heifets Lab, 2024 — content advisory)

Related episodes:

• S1 E1: Psychedelics and Empathy
• S3 E3: OCD and Ketamine

Episode credits
This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

This week on From Our Neurons to Yours, we're talking about the neuroscience of climate change with neuroeconomist Nik Sawe.

If you follow the science or the news, you know how big of a risk climate change is. Storms, coastal flooding, heat waves, extinctions, mass migration — the list goes on.

But — as you can probably also appreciate — it’s really hard to properly perceive that risk. It’s much easier to focus on today’s emergency, this week’s looming deadline, this quarter’s economic forecast — where the risks are objectively much smaller, but feel more pressing.

This is where neuroscience comes in: Why are our brains so bad at perceiving this existential, long-term risk to our society and our planet? And are there ways we could work with our brains' limitations to improve our decision-making around environmental issues and the future more broadly?

To answer this question, we spoke with Nik Sawe, a neuro-economist who uses brain imaging to study environmental decision making in the  lab of Brian Knutson in the Stanford Department of Psychology. Nik is also a policy analyst at the think tank Energy Innovation, where he is working on policy avenues to reduce carbon emissions in the industrial sector.

References

• Parks donation FMRI study
• Ecolabeling/energy-efficient purchasing FMRI study
• "Price of your soul" study by Greg Berns
• Dan Kahan science literacy/numeracy and climate change risk study
• Brain stimulation for perspective-taking of future generations

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute and the Knight Initiative for Brain Resilience. 

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

This week we’re doing something a little different. My good friend Michael Osborne, who produces this show also has his own podcast, called Famous & Gravy – Life Lessons from Dead Celebrities.

I recently guest-hosted an episode about one of my all time scientific and writerly heros, Oliver Sacks, which we're releasing for both our audiences. I hope you enjoy!

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We've concluded Season 3 of From Our Neurons to Yours! Stay tuned for more conversations from the frontiers of neuroscience in Season 4 — from psychedelics to cancer neuroscience to hypnosis — which we’ll share in just a few weeks.

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Who was Oliver Sacks?

Oliver Sacks, born on July 9, 1933, was a British-American neurologist, author, and professor known for his groundbreaking work in neuroscience and his compelling narratives exploring the human mind. His unique ability to blend science with storytelling made him a beloved figure in both the medical and literary worlds.

Sacks' career in neurology began in the 1960s, where he studied and treated patients with various neurological disorders. His observations and insights into the complexities of the brain led to significant advancements in the field.

As an author, Oliver Sacks gained widespread acclaim for his books, including "The Man Who Mistook His Wife for a Hat" (1985) and "Awakenings" (1973), which was adapted into a successful film starring Robin Williams and Robert De Niro. His writings, characterized by empathy and curiosity, explored the human condition through the lens of neuroscience.

Throughout his life, Sacks remained committed to understanding and humanizing neurological conditions. He championed the importance of empathy and compassion in medical practice, advocating for a holistic approach to patient care.

In addition to his literary contributions, Oliver Sacks was a revered educator, teaching at prestigious institutions such as Columbia University and the New York University School of Medicine. His lectures and writings inspired countless students and professionals in the field of neurology.

Oliver Sacks' legacy continues to resonate, shaping our understanding of the brain and its complexities. His work transcends disciplines, reminding us of the profound connections between science, humanity, and storytelling.

Episode Credits

Famous and Gravy was created by Amit Kapoor and Michael Osborne. This episode was produced by Evan Sherer with production assistance from Claire McInerney. Original theme music by Kevin Strang.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.