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.

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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. [

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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)

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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 [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)

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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 [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 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 [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 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 [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 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 [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" 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 [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 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 [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 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 [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.