Huberman Lab

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

Nov 18, 2024

Dr. Terry Sejnowski, an expert in computational neurobiology at the Salk Institute, discusses how our brains process information and improve learning. He reveals how AI tools can aid in generating ideas and analyzing health data. The conversation also dives into the benefits of physical exercise on cognitive function, the importance of sleep for memory consolidation, and the interplay between human learning and AI. Sejnowski highlights neuroplasticity's role in mental health innovations and how technology can enhance educational experiences.

02:34:10

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Terry Sejnowski

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Quick takeaways

Dr. Terry Sejnowski explains that personalized learning approaches can significantly enhance retention and application of information.

The impact of regular exercise on cognitive function emphasizes the importance of physical health in optimizing brain performance.

Computational models that simulate neural activity provide insights into understanding human cognition and how we process information.

The integration of AI in neuroscience offers opportunities to analyze data patterns that could lead to breakthroughs in treating neurological disorders.

Understanding dreams, especially from REM sleep, may uncover deeper insights into memory processing and emotional regulation.

Deep dives

The Role of Computational Neuroscience in Understanding Motivation

Computational neuroscience utilizes mathematical models to understand how the brain functions, particularly regarding motivation. Dr. Terry Sagnowski emphasizes that all motivational behaviors are driven by a simple algorithm that relates to dopamine, a crucial neuromodulator. This algorithm governs our motivation-related actions regardless of our individual experiences, helping to clarify the complexities of human behavior. Through this lens, it becomes easier for individuals to comprehend their own motivational drivers and how to effectively alter them.

Treat ChatGDP Like a Human

04:33

Commitment, Convenience, and Community in Learning

00:33

AI's Diverse Diagnosis: Different Insights from the Same Data

00:28

Intro

2min

Exercise and Cognitive Enhancement

5min

Unraveling the Brain: Learning Mechanics

24min

The Role of Sleep Spindles in Memory Consolidation

2min

The Essential Role of Sleep for Learning and Memory

5min

Balancing Sleep Aids and Learning

20min

Navigating Cognitive Strain and the Role of Foundational Learning

5min

Humans, AI, and Energy Dynamics

22min

Neuroplasticity and Mental Health Innovations

15min

10.

AI and Human Synergy in Expertise

11min

11.

Exploring the Effects of Parkinson's Disease on Movement and Learning

2min

12.

Cognitive Velocity and Brain States

20min

13.

The Intersection of Movement, Thought, and Sleep

19min

14.

Closing Reflections and Resource Sharing

3min

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.

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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

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Huberman Lab

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

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

The Role of Computational Neuroscience in Understanding Motivation

Enhancing Learning Through Personalized Strategies

The Impact of Exercise on Cognition and Brain Function

Insights into Parkinson's Disease and Brain Functionality

Understanding Learning and Memory through Computational Models

Dreaming: The Scientific Perspective on REM Sleep

The Interplay of Energy and Cognitive Function

Exploring the Future of Artificial Intelligence in Neuroscience

Self-Generated Thought: Implications for Learning and Creativity

Treat ChatGDP Like a Human

Commitment, Convenience, and Community in Learning

AI's Diverse Diagnosis: Different Insights from the Same Data

Thank you to our sponsors

Timestamps

Remember Everything You Learn from Podcasts