From Our Neurons to Yours

Jaimie Henderson, a Stanford neurosurgeon at the forefront of brain-machine interfaces, discusses the groundbreaking potential of neural prosthetics for those with brain and spinal cord injuries. He shares inspiring stories of individuals regaining abilities previously thought lost, including communication and movement. The conversation highlights advancements like deep brain stimulation devices and silicon microelectrode arrays that decode brain activity. Henderson also honors the legacy of Krishna Shenoy, emphasizing the power of collaboration in revolutionizing neuroscience.

Join Beth Mormino and Anthony Wagner, experts from Stanford's Aging and Memory Study, as they delve into the secrets of resilient aging. They share insights on how cognitive health can endure into old age, unraveling the complexities of Alzheimer's and the potential for early detection through innovative research. The discussion also touches on the impact of stereotypes on cognitive performance and how lifestyle choices, like social engagement, can enhance brain health. Their exciting research holds promise for healthier, longer lives.

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 moreAI 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 researchA 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. 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 NeuroscienceFireside 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 touchWe 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 CreditsThis 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 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. Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

Brad Zuchero, an assistant professor of neurosurgery at Stanford Medicine and a leader in glial cell research, dives into the vital roles of glial cells in brain health. He discusses how myelin not only insulates nerve signals but also plays a surprising role in Alzheimer's disease. The conversation sheds light on glial cells' contributions to neuroinflammation, brain fog, and synaptic maintenance. Zuchero emphasizes the importance of these often-overlooked cells in understanding neurodegenerative diseases, providing a fresh perspective on brain function.

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 ShowMeet the 2025 Neurosciences Postdoctoral Scholars (Wu Tsai Neuro, 2025)Butts Pauly LabAiran LabNon-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 touchWe 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 CreditsThis 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. Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

In this engaging discussion, Erin Gibson, an Assistant Professor of Psychiatry at Stanford and a researcher on myelin's impact on brain health, tackles the pivotal role of sleep in cognitive function and Alzheimer's risk. She reveals how age-related changes in sleep patterns, like increased napping, could serve as early indicators of neurodegenerative diseases. Gibson's research also uncovers myelin's potential as a missing link in understanding brain insulation and health, emphasizing the need to view our nightly rest as vital for long-term cognitive resilience.

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 ShowDetermined: 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 EpisodesIs addiction a disease? | Keith HumphreysBrain stimulation & "psychiatry 3.0" | Nolan WilliamsHow we understand each other | Laura GwilliamsGet in touchWe'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 CreditsThis 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. Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

Join Boris Heifets, a Stanford anesthesiologist researching psychedelic medicine, and Theresa Lii, his collaborator in exploring ketamine and the placebo effect. They dive into the surprising dynamics of ketamine in depression treatment. Discover how much of its efficacy stems from the drug versus the excitement of trial participation. They also discuss the complex interplay between the placebo effect and the opioid system, while challenging conventional views on placebo in psychiatric care, revealing its potential as a valuable aspect of treatment.

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 NoteWe 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.LinksLivewired (book)Incognito (book)Wednesday Is Indigo Blue (book)Neosensory (website)Synesthete.org (website)Inner Cosmos with David Eagleman (podcast)Get in touchWe'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 CreditsThis 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. Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.