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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 AndreassonResearch links age-related inflammation, microglia and Alzheimer’s DiseaseQ&A: How the aging immune system impacts brain healthRethinking Alzheimer's: Could it begin outside the brain?Why new Alzheimer's drugs may not work for patientsParkinson’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 [email protected] 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. [ 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 [email protected] 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 [email protected] 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 [email protected] 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 websitePublisher's websiteReferences from the bookSocial Journaling template--- 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! --- We want to hear from your neurons! Email us at at [email protected] 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 [email protected] 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 PsychologyFan, 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 papersWe want to hear from your neurons! Email us at at [email protected] 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 [email protected] 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 MedicineExplore Pagdon's Psychosis Outside the Box project and additional stories of the lived experience of psychosis from the Hearing Voices NetworkRead: "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 [email protected] 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 [email protected] 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" playlistMenon, 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 [email protected] 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 [email protected] 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 EducationLearn about the "brainwave learning center" at Menlo Park's Synapse School.Watch McCandliss present his work at Wu Tsai Neuro's 10th anniversary SymposiumRecent 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 [email protected] 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 [email protected] 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 LabParticipate in a StudyCommunity Support ResourcesPublicationsUnderconnectivity 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 [email protected] 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 [email protected] 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 driveHis talent for making theoretical physics accessible (and entertaining)Big philosophical questions about the universe and the nature of existenceThe intersection of science, celebrity, and personal legacyWe hope you enjoy this crossover conversation. We want to hear from your neurons! Email us at [email protected] 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 [email protected] 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 behaviorThe biological pathways affected by opioids, alcohol, and stimulants—and why some drugs are harder to treatWhat makes some people more vulnerable to addiction than othersWhy effective addiction policy must account for impaired decision-makingHow policy can—and can’t—respond to the scienceThe promise and limitations of brain stimulation, psychedelics, and medications like naloxoneWhy prevention—especially for teens—is key to long-term changeWhat a more human, effective, and science-based future could look likeResources & Links Learn more about Keith HumphreysLearn about the Stanford Network on Addiction PolicyRead about the NeuroChoice Initiative at Stanford's Wu Tsai Neurosciences InstituteNIH resources on addiction science and treatmentRead 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 [email protected] 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 [email protected] 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 drugsThe 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 [email protected] 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 [email protected] 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 [email protected] 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 [email protected] 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, 2021Related 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 [email protected]. 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 [email protected] Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.