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Explore every episode of the podcast From Our Neurons to Yours

Dive into the complete episode list for From Our Neurons to Yours. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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TitlePub. DateDuration
Brain development in the clinic and the classroom | Karen Parker & Jason Yeatman (with the Future of Everything podcast)06 Nov 202600:32:11

On today’s show, something special: a conversation we recorded live at our 13th Annual Symposium on “Building the Brain”. 

The event featured experts at the frontiers of brain development research asking questions like how much of our brain wiring is driven by genetics versus experience and whether we could use AI to understand the way infants naturally learn about the world around them. You can see some of these talks on our YouTube channel.

Each year at the Symposium we also host a fireside chat where leading Stanford researchers help us take a step back and look at the state of the field as a whole. 

This year, we collaborated with The Future of Everything podcast and its host, bioengineer Russ Altman, to bring that conversation to you. 

Russ spoke onstage with Karen Parker, who studies how our brains – and those of other primates – develop socially. She’s been studying how hormones like oxytocin and vasopressin are linked to differences in social cognition and the implications for children with autism, and she’s been working to translate these basic science findings to clinical trials.

Also on stage was Jason Yeatman, who studies how children learn to read and the challenges faced by kids with dyslexia. He’s developed online reading assessment tools and brought them to 1.2 million students at nearly 3,000 schools. 

While their individual work is different in approach, the conversation sheds light on the opportunities and obstacles researchers face in turning scientific discovery into real-world impact, whether in the clinic or the classroom.

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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. 

Predicting the brain: the Stanford Digital Brain Project | Dan Yamins & Russ Poldrack02 Nov 202600:54:31

This week, Wu Tsai Neuro launched the Stanford Digital Brain Project, an ambitious effort to build predictive models of the human brain.

So today on the show, we’re bringing you two conversations to get you up to speed on what this new initiative is and why it matters.

First we’re going to revisit a conversation from last year with Wu Tsai Neuro Faculty Scholar Dan Yamins about the vision for building digital models of the brain. We talked about how such models would let neuroscientists test hypotheses about brain function or develop personalized interventions for brain diseases in a virtual environment far faster than can be done in the lab.

Then, in the second half of the episode, we'll bring you a conversation with cognitive neuroscientist Russ Poldrack, one of the leaders of the new initiative, about what it's actually going to take to build this thing. We talk about the experiments now getting underway to capture the brain data that'll be needed to train these models, and why collecting this kind of data is already a remarkable scientific undertaking on its own, well before anyone actually builds a model out of it.

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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 an immune invasion teaches us about Alzheimer’s disease | Julia Belk23 Oct 202600:45:59

Today we’re going to be talking about a recent study that is rewriting neuroscience textbooks, potentially changing our understanding of Alzheimer’s disease, our brain’s immune system, and the potential for immunotherapy for the brain.

Today’s guest is Julia Belk, lead author of a new study that discovered that as we age, immune cells from the blood somehow cross the supposedly impenetrable blood–brain barrier, and replace the brain’s native immune cells, the microglia. The findings help us understand growing links between the aging immune system and Alzheimer’s disease and why certain blood mutations – ones traditionally linked to cancer – might actually protect against neurodegeneration.

Julia is an HHMI Hannah Gray postdoctoral fellow in the lab of Sidd Jaiswal at Stanford Medicine. Their research was supported by the Knight Initiative for Brain Resilience at Wu Tsai Neuro.

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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. 

What's on our brains: Behind the scenes of From Our Neurons to Yours16 Oct 202600:30:24

Today on the show we're doing something a little different.

Quite different, actually. Nine seasons in, listeners might wonder: Why do we make this show? How do we prepare for it? What do we hope you get out of it? What even is the Wu Tsai Neurosciences Institute? 

The idea has been brewing for a while, and this time we're doing it: From Our Neurons To Yours is taking you behind the scenes of From Our Neurons To Yours. Producer Michael Osborne joins host Nicholas Weiler to talk about where the show came from, how we get ready to bring you to the frontiers of neuroscience, and yes, what Wu Tsai Neuro is all about.



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. 

How do our brains stay healthy as we age? | Tom Clandinin25 Sep 202600:42:45

Today on the show, we explore the complex biology underlying a seemingly straightforward question: How do our brains stay healthy – or not – as we age?

There seems to be a constant flow of new secrets to healthy brain aging – inflammation, estrogen levels, how the brain clears out its waste. We've talked about many of these explanations on the show, and it can be easy to think that whatever the latest one is, that's the one. At least until the next one comes along.

In reality, each of those things is probably part of a larger complex system that guides brain aging. But if that's the case, how do the parts fit together, and how do scientists figure out interventions that could slow or prevent neurodegeneration?  

That's a tricky challenge to be sure, but it's that challenge we're going to dive into with today's guest, neurobiologist Tom Clandinin. 

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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. 

Sugar on the brain | Carolyn Bertozzi11 Sep 202600:52:27

Today on the show, we bring you a conversation with Carolyn Bertozzi, the Baker Family Director of Sarafan ChEM-H and the Anne T. and Robert M. Bass Professor in the School of Humanities and Sciences. 

Bertozzi is a Nobel Laureate, a MacArthur Fellow, and an all around cool person – although it didn't come up in the conversation, she used to play in a band with Rage Against the Machine's Tom Morello.

Although Bertozzi wouldn’t call herself a neuroscientist — she’s a chemist at heart – her work is having a big impact on neuroscience. Today, she focuses on the sugar molecules that stud the outer surfaces of our cells. It turns out that these molecules are incredibly important for how cells communicate with each other. But understanding these molecules is so complex and challenging that Bertozzi had to invent a new branch of chemistry in order to study them. In this episode, we'll hear how this research is opening doors not only within neuroscience but across biology and drug development as well.

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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. 

After Ozempic: the revolution in peptide science | Jonathan Long27 Aug 202600:49:54

Health influencers and scientists have both gone crazy for peptides.

The peptide health craze stems from a lot of online hype — centered on gray-market compounds that haven't been rigorously tested in humans and aren't regulated for safety or purity. But among scientists, there is a genuine "revolution" underway — spurred by technological developments revealing an order of magnitude more peptides in our bodies than we ever realized, and by the unexpected and unparalleled success of GLP-1 drugs like Ozempic.

To learn more about what’s driving this excitement – and how much of the peptide hype is really worth your attention – we spoke with Stanford biochemist Jonathan Long, an associate professor of pathology at Stanford Medicine, an affiliate of the Wu Tsai Neurosciences Institute, and an Institute Scholar of Stanford Sarafan ChEM-H.

Editor's Note: After we went to press, Colorado biotech Enveda announced promising but early Phase 1 safety results for ENV-308, an oral drug engineered to mimic Lac-Phe — the "exercise in a pill" molecule Long's lab first characterized in 2022. The trial didn't test actual weight-loss or fitness effects, so the real thing isn't here yet — but Long, a scientific advisor to Enveda, calls it "an extremely exciting potential scientific breakthrough." Read more

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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. 

Transcranial magnetic stimulation and the future of psychiatry | Corey Keller13 Aug 202600:46:21

Transcranial magnetic stimulation (TMS) is one of the most promising new technologies in psychiatry. Essentially, it allows us to reach inside the brain, stimulate it, and alter the brain circuits that go awry in disorders like depression. 

As the late Nolan Williams once explained, we've known for a long time that mental health disorders are caused by changes in electrical circuits in our brains, until TMS came along, we didn't had a good way of nudging those circuits back toward healthier function.

But for all its promise, there is still much we don't understand about what exactly TMS is doing. We know it sends electromagnetic waves into the brain and changes the flow of electricity within. What we don't know is how it changes brain circuits and networks or why that helps treat depression, obsessive-compulsive disorder, or any of the other conditions where it's being used.

Today's guest, Corey Keller, is dedicated to addressing that gap. He's been developing methods for recording inside the brain to help us understand how treatments like TMS change our brain circuits and address psychiatric disease.

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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. 

How brain imaging is transforming mental health (finally) | Leanne Williams30 Jul 202600:52:34

Back in the 1950s, doctors didn't know a whole lot about the heart. If someone came in with chest pain, clinicians would ask a few questions, then take a stab at treating what might be heartburn or a heart attack. 

That's where mental health care is today, according to today's guest, Leanne Williams.

For example: you come into a psychiatrist’s office. The psychiatrist determines that you’ve experienced five or more depressive symptoms for at least two consecutive weeks and you get a diagnosis of major depressive disorder. Maybe you get prescribed some combination of therapy and medication. For some it works. For others it doesn’t. On average, finding an effective treatment for depression takes patients about 7 years – one of the reasons we’re in a mental health crisis.

Williams says that the key issue is that psychiatry does not base its diagnoses or treatment plans on any direct test of the organ of interest: the brain. According to Leanne’s research, people with depression actually fall into clearly different categories, caused by changes in specific brain networks that can be  seen using brain imaging. She’s shown that using this data can lead to much more targeted and effective therapies.

Williams leads the Precision Mental Health Center at Stanford and is helming a new international task force that aims to create a road map for transforming  mental health diagnosis and treatment based on biological data and brain imaging. We invited Leanne on the show to tell us about a sea change she sees happening in psychiatry.

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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. 

Is chronic fatigue a gut-brain reflex? (Big Ideas in Neuroscience) | Julia Kaltschmidt16 Jul 202600:35:58

Why does being sick make you so exhausted – and why does that exhaustion sometimes outlast the illness itself? Today, neuroscientist Julia Kaltschmidt returns to the podcast to talk about the body's hidden "sickness reflex," the gut-brain circuitry behind it, and what those things might reveal about chronic fatigue.

Kaltschmidt, a Wu Tsai Neurosciences Institute faculty scholar and professor of neurosurgery at Stanford Medicine, is an expert on the enteric nervous system — the gut's own semi-independent network of 200 to 600 million neurons. She's leading a new Big Ideas in Neuroscience project mapping out exactly how the body tells the brain it's sick, alongside Luis de Lecea, an expert in the brain circuitry of sleep, and Christoph Thaiss, who studies communication between the gut, the immune system, and the brain.

The team believes that understanding the "reflex" of sickness fatigue could eventually lead to something patients with chronic fatigue and long COVID don't currently have: a real biomarker, and a path to treatment, for a condition that's too often been dismissed as "all in your head."

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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. 

Is neurodegeneration a waste-management problem? | Monther Abu-Remaileh18 Jun 202600:41:43

For decades, the field focused on the plaques and tangles of misfolded proteins that show up in the brains of patients with Alzheimer’s, Parkinson’s and other disorders. The natural assumption was that if you could design a drug to clear out that gunk, you could save the brain. But so far, that bet hasn't paid off.

Now, researchers are taking a big step back and asking whether the plaques aren't a culprit, but rather a clue pointing to something more fundamental going wrong in our brain cells as we age? Put another way, why do our brains get jammed up with these junk proteins in the first place?

Today’s guest, chemical engineer and geneticist Monther Abu-Remaileh, is one of the researchers working hard to answer that question. His research goes deep on a tiny cellular structure called the lysosome, little sacs filled with acid and enzymes that break down worn-out proteins and cellular debris. The lysosome is like a sustainable recycling center for a major city, managing waste streams, recycling raw materials, and coordinating with the rest of the cell to keep things running – and when it breaks down, the whole cell starts to fail. 

Among other accomplishments, Abu-Remaileh, a member of the Knight Initiative for Brain Resilience Steering Committee, has developed clever techniques for probing the lysosome that have put him at the frontier of a transformation in how we think about the lysosome, a transformation that could point the way to slow all manner of neurodegeneration – or even prevent it from happening in the first place.

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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 new precision neuroscience of language (Big Ideas in Neuroscience) | Cory Shain04 Jun 202600:45:49

Right now, as you're reading this sentence, something remarkable is happening in your brain. Light waves from your screen hit your eyes, transform into electrical signals, and take on meaning. You understand what you're reading. This is language — our human superpower.

But despite 150 years of intensive research, we still do not have a complete picture of how the brain actually accomplishes all of this. We don't even have a good answer to a seemingly simple question: Where in the brain does language happen? It turns out, the answer may be different in different people.

Today we'll hear from neuro-linguist Cory Shain, one of the leaders of a new Big Ideas in Neuroscience project here at Wu Tsai Neuro that is combining multiple brain recording techniques to build individualized maps of the language network—and use these insights to improve brain implants for people who've lost the ability to speak or write due to brain injury or illness.

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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. 

How childhood (and Pokémon) shape how we see the world | Kalanit Grill-Spector21 May 202600:46:23

Today's episode is all about how childhood literally shapes the brain.

Our most important experiences – from learning to read, to the growing complexity of our social lives at school, and even the video games we play – leave physical traces in how our brains get organized that shape how we see the world as adults.

But how does the brain actually know what parts of our lives are actually important enough to reorganize around? How do particular experiences get under the hood to leave their mark on the developing brain?

Today's guest, Stanford psychology professor Kalanit Grill-Spector, has spent her career trying to answer these questions. She's has been imaging children's brains – from infants to teenagers – to watch this reorganization unfold. Her work focuses on how our visual experience as children shapes our brains and how we see the world – what she and her team have found is not always what they expected.

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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. 

The FDA's psychedelic sea-change: what accelerated clinical trials for psilocybin, methylone, and ibogaine mean for mental health and neuroscience research | Boris Heifets07 May 202600:45:31

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.

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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. 

Will work for dopamine: why hard work motivates us | Neir Eshel30 Apr 202600:43:04

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. 

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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. 

Could Parkinson's start in the gut? | Kathleen Poston16 Apr 202600:41:19

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.

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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. 

How see-through brains could transform neuroscience (Big Ideas in Neuroscience) | Guosong Hong02 Apr 202600:36:12

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. 

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

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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. 

Could boosting gut–brain communication prevent memory loss? A tale of microbes, memory, and our internal senses | Christophe Thaiss19 Mar 202600:42:38

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.

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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. 

Why do some of us age faster than others? | Claire Bedbrook and Ravi Nath12 Mar 202600:38:10

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.

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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 new neuroscience of pregnancy (Big Ideas in Neuroscience) | Nirao Shah & Katrin Svensson26 Feb 202600:38:21

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. 

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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.

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. 

Why do our minds wander? What the brain's default mode tells us about our humanity | Vinod Menon12 Feb 202600:48:17

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.

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

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Is Alzheimer's an energy crisis in the brain? Inflammation, metabolism and a new path in the search for cures | Kati Andreasson18 Dec 202500:42:40

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.

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

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"The Emergent Mind: How Intelligence Arises in People and Machines" | Jay McClelland26 Nov 202500:39:41

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.

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Could brain implants read our thoughts? | Erin Kunz13 Nov 202500:37:05

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?

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NeuroForecasting: how brain activity can predict stock prices or viral videos | Brian Knutson30 Oct 202500:40:19

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. 

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

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"Why Brains Need Friends: The Neuroscience of Social Connection" | Ben Rein16 Oct 202500:38:36

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.

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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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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. 

From doodles to Descartes: sketching and the human cognitive toolkit | Judith Fan02 Oct 202500:40:29

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

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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

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What is psychosis? Navigating an altered reality | Jacob Ballon & Shannon Pagdon18 Sep 202500:46:07

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.

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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.

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"I Heard There Was a Secret Chord: Music as Medicine" | Daniel Levitin04 Sep 202500:45:59

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." 

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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.

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How we learn to read (and why some struggle): what neuroscience teaches us about a transformative human technology | Bruce McCandliss21 Aug 202500:39:18

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.

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Recent Academic Articles & News Coverage

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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

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Why voices light us up—but leave the autistic brain in the dark | Dan Abrams07 Aug 202500:31:51

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.

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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. 

Famous & Gravy: Cosmic Marketer and the Meaning of Life | Stephen Hawking24 Jul 202501:01:31

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

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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

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Can brain science save addiction policy? | Keith Humphreys10 Jul 202500:45:51

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

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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.

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How basic science transformed stroke care | Marion Buckwalter26 Jun 202500:34:51

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:

The uncertain future of federal support for science

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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.

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Surgery as a window into brain resilience | Martin Angst12 Jun 202500:37:32

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.

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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. 

Best of: How neural prosthetics could free minds trapped by brain injury | Jaimie Henderson29 May 202500:22:20

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)


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. 

The secrets of resilient aging | Beth Mormino & Anthony Wagner15 May 202500:36:30

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.

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Further Reading

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. 

Building AI simulations of the human brain | Dan Yamins01 May 202500:32:56

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

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What ChatGPT understands: Large language models and the neuroscience of meaning | Laura Gwilliams17 Apr 202500:42:31

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. 

What the other half of the brain does | Brad Zuchero03 Apr 202500:35:00

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.

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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. 

Stimulating the brain with sound | Kim Butts Pauly and Raag Airan20 Mar 202500:30:43

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. 

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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. 

Does good sleep insulate the brain against Alzheimer's? | Erin Gibson06 Mar 202500:39:25

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. 

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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. 

How to live in a world without free will | Robert Sapolsky05 Dec 202400:40:46

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.

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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. 

The power of psychedelics meets the power of placebo: ketamine, opioids, and hope in depression treatment | Boris Heifets & Theresa Lii21 Nov 202400:35:10

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.

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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. 

Seeing sounds, tasting colors: the science of synaesthesia with David Eagleman (re-release)07 Nov 202400:21:52

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!

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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.

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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. 

The BRAIN Initiative: the national vision for the future of neuroscience is now in doubt | Bill Newsome24 Oct 202400:39:23

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!

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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. 

The cannabinoids within: how marijuana hijacks an ancient signaling system in the brain | Ivan Soltesz10 Oct 202400:37:33

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.

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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. 

Memory Palaces: the science of mental time travel and the brain's GPS system | Lisa Giocomo (Re-release)26 Sep 202400:25:50

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:

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. 

Why new Alzheimer's drugs don't work | Mike Greicius, Stanford University School of Medicine12 Sep 202400:25:48

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.

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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:

Alzheimer's Genetics Research:

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. 

Depression's distinctive fingerprints in the brain | Leanne Williams, Stanford University29 Aug 202400:28:11

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.

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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. 

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