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How to Improve at Learning Using Neuroscience & AI | Dr. Terry Sejnowski

Huberman Lab

The Huberman Lab podcast is hosted by Andrew Huberman, Ph.D., a neuroscientist and tenured professor in the department of neurobiology, and by courtesy, psychiatry and behavioral sciences at Stanford School of Medicine. The podcast discusses neuroscience and science-based tools, including how our brain and its connections with the organs of our body control our perceptions, our behaviors, and our health, as well as existing and emerging tools for measuring and changing how our nervous system works.
Huberman has made numerous significant contributions to the fields of brain development, brain function, and neural plasticity, which is the ability of our nervous system to rewire and learn new behaviors, skills, and cognitive functioning. He is a McKnight Foundation and Pew Foundation Fellow and was awarded the Cogan Award, given to the scientist making the most significant discoveries in the study of vision, in 2017. 
Work from the Huberman Laboratory at Stanford School of Medicine has been published in top journals, including Nature, Science, and Cell, and has been featured in TIME, BBC, Scientific American, Discover, and other top media outlets.
In 2021, Dr. Huberman launched the Huberman Lab podcast. The podcast is frequently ranked in the top 10 of all podcasts globally and is often ranked #1 in the categories of Science, Education, and Health & Fitness.

In this episode, my guest is Dr. Terry Sejnowski, Ph.D., professor of computational neurobiology at the Salk Institute for Biological Studies. He is world-renowned for exploring how our brain processes and stores information and, with that understanding, for developing tools that enable us to markedly improve our ability to learn all types of information and skills.
We discuss how to learn most effectively in order to truly master a subject or skill. Dr. Sejnowski explains how to use AI tools to forage for new information, generate ideas, predict the future, and assist in analyzing health data and making health-related decisions.
We also explore non-AI strategies to enhance learning and creativity, including how specific types of exercise can improve mitochondrial function and cognitive performance. Listeners will gain insights into how computational methods and AI are transforming our understanding of brain function, learning, and memory, as well as the emerging roles of these tools in addressing personal health and treating brain diseases such as Alzheimer’s and Parkinson’s.
Access the full show notes for this episode at hubermanlab.com.
Pre-order Andrew's new book, Protocols: protocolsbook.com
Thank you to our sponsors
AG1: https://drinkag1.com/huberman
BetterHelp: https://betterhelp.com/huberman
Helix Sleep: https://helixsleep.com/huberman 
David Protein: https://davidprotein.com/huberman 
LMNT: https://drinklmnt.com/huberman 
Joovv: https://joovv.com/huberman 
Timestamps
00:00:00 Dr. Terry Sejnowski  
00:02:32 Sponsors: BetterHelp & Helix Sleep  
00:05:19 Brain Structure & Function, Algorithmic Level  
00:11:49 Basal Ganglia; Learning & Value Function  
00:15:23 Value Function, Reward & Punishment  
00:19:14 Cognitive vs. Procedural Learning, Active Learning, AI  
00:25:56 Learning & Brain Storage  
00:30:08 Traveling Waves, Sleep Spindles, Memory  
00:32:08 Sponsors: AG1 & David  
00:34:57 Tool: Increase Sleep Spindles; Memory, Ambien; Prescription Drugs  
00:42:02 Psilocybin, Brain Connectivity  
00:45:58 Tool: ‘Learning How to Learn’ Course  
00:49:36 Learning, Generational Differences, Technology, Social Media  
00:58:37 Sponsors: LMNT & Joovv  
01:01:06 Draining Experiences, AI & Social Media  
01:06:52 Vigor & Aging, Continued Learning, Tool: Exercise & Mitochondrial Function  
01:12:17 Tool: Cognitive Velocity; Quick Stressors, Mitochondria  
01:16:58 AI, Imagined Futures, Possibilities  
01:27:14 AI & Mapping Potential Options, Schizophrenia  
01:30:56 Schizophrenia, Ketamine, Depression  
01:36:15 AI, “Idea Pump,” Analyzing Research  
01:42:11 AI, Medicine & Diagnostic Tool; Predicting Outcomes  
01:50:04 Parkinson’s Disease; Cognitive Velocity & Variables; Amphetamines  
01:59:49 Free Will; Large Language Model (LLM), Personalities & Learning  
02:12:40 Tool: Idea Generation, Mind Wandering, Learning  
02:18:18 Dreams, Unconscious, Types of Dreams  
02:22:56 Future Projects, Brain & Self-Attention  
02:31:39 Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, Sponsors, YouTube Feedback, Protocols Book, Social Media, Neural Network Newsletter  
Disclaimer & Disclosures

In this episode, my guest is Dr. Terry Sejnowski, Ph.D., professor of computational neurobiology at the Salk Institute for Biological Studies. He is world-renowned for exploring how our brain processes and stores information and, with that understanding, for developing tools that enable us to markedly improve our ability to learn all types of information and skills.
We discuss how to learn most effectively in order to truly master a subject or skill. Dr. Sejnowski explains how to use AI tools to forage for new information, generate ideas, predict the future, and assist in analyzing health data and making health-related decisions.
We also explore non-AI strategies to enhance learning and creativity, including how specific types of exercise can improve mitochondrial function and cognitive performance. Listeners will gain insights into how computational methods and AI are transforming our understanding of brain function, learning, and memory, as well as the emerging roles of these tools in addressing personal health and treating brain diseases such as Alzheimer’s and Parkinson’s.

Access the full show notes for this episode at hubermanlab.com.

Pre-order Andrew's new book, Protocols: protocolsbook.com

Thank you to our sponsors
AG1: https://drinkag1.com/huberman
BetterHelp: https://betterhelp.com/huberman
Helix Sleep: https://helixsleep.com/huberman 
David Protein: https://davidprotein.com/huberman 
LMNT: https://drinklmnt.com/huberman 
Joovv: https://joovv.com/huberman 

Timestamps
00:00:00 Dr. Terry Sejnowski  
00:02:32 Sponsors: BetterHelp & Helix Sleep  
00:05:19 Brain Structure & Function, Algorithmic Level  
00:11:49 Basal Ganglia; Learning & Value Function  
00:15:23 Value Function, Reward & Punishment  
00:19:14 Cognitive vs. Procedural Learning, Active Learning, AI  
00:25:56 Learning & Brain Storage  
00:30:08 Traveling Waves, Sleep Spindles, Memory  
00:32:08 Sponsors: AG1 & David  
00:34:57 Tool: Increase Sleep Spindles; Memory, Ambien; Prescription Drugs  
00:42:02 Psilocybin, Brain Connectivity  
00:45:58 Tool: ‘Learning How to Learn’ Course  
00:49:36 Learning, Generational Differences, Technology, Social Media  
00:58:37 Sponsors: LMNT & Joovv  
01:01:06 Draining Experiences, AI & Social Media  
01:06:52 Vigor & Aging, Continued Learning, Tool: Exercise & Mitochondrial Function  
01:12:17 Tool: Cognitive Velocity; Quick Stressors, Mitochondria  
01:16:58 AI, Imagined Futures, Possibilities  
01:27:14 AI & Mapping Potential Options, Schizophrenia  
01:30:56 Schizophrenia, Ketamine, Depression  
01:36:15 AI, “Idea Pump,” Analyzing Research  
01:42:11 AI, Medicine & Diagnostic Tool; Predicting Outcomes  
01:50:04 Parkinson’s Disease; Cognitive Velocity & Variables; Amphetamines  
01:59:49 Free Will; Large Language Model (LLM), Personalities & Learning  
02:12:40 Tool: Idea Generation, Mind Wandering, Learning  
02:18:18 Dreams, Unconscious, Types of Dreams  
02:22:56 Future Projects, Brain & Self-Attention  
02:31:39 Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, Sponsors, YouTube Feedback, Protocols Book, Social Media, Neural Network Newsletter  

Disclaimer & Disclosures
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