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.

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.

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 [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.

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 [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.

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 [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.

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.

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 [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.

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 [email protected] if you'd be willing to help out with some listener r

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.

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 [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.

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 [email protected] 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

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.