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

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Nov 18, 2024

Guest

Terry Sejnowski

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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Episode notes

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ADVICE

Active Learning

Practice active learning by solving problems and testing yourself.
Simply being told the answer stores it as a fact, but doesn't promote generalization.

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ANECDOTE

Ambien's Double-Edged Sword

Ambien, a sleep aid, increases sleep spindles, improving memory consolidation.
However, it also induces forgetfulness for events occurring after taking the drug.

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ADVICE

Cognitive Enhancement Trade-offs

Be cautious with drugs or supplements promising cognitive enhancement.
They often disrupt the body's balance, leading to trade-offs in other areas.

Get the Snipd Podcast app to discover more snips from this episode

Exercise and Cognitive Enhancement

01:56 • 5min

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Unraveling the Brain: Learning Mechanics

06:36 • 24min

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The Role of Sleep Spindles in Memory Consolidation

30:25 • 2min

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The Essential Role of Sleep for Learning and Memory

32:08 • 5min

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Balancing Sleep Aids and Learning

37:25 • 20min

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Navigating Cognitive Strain and the Role of Foundational Learning

57:42 • 5min

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Humans, AI, and Energy Dynamics

01:02:15 • 22min

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Neuroplasticity and Mental Health Innovations

01:24:10 • 15min

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AI and Human Synergy in Expertise

01:39:28 • 11min

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

01:50:06 • 2min

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Cognitive Velocity and Brain States

01:52:14 • 20min

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The Intersection of Movement, Thought, and Sleep

02:12:39 • 19min

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Closing Reflections and Resource Sharing

02:31:13 • 3min

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ChatGPT and the Future of AI

The Deep Language Revolution

Terrence Sejnowski

In 'ChatGPT and the Future of AI', Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT. The book delves into the debates surrounding LLMs’ comprehension of language, the notions of 'thinking' and 'intelligence', and the historical evolution of language models. It focuses on the role of transformers, the correlation between computing power and model size, and the intricate mathematics shaping LLMs. Sejnowski also discusses the potential future of AI, including next-generation LLMs inspired by nature and the importance of developing energy-efficient technologies. The book is structured into three parts: Living with Large Language Models, Transformers, and Back to the Future, making it accessible and valuable for both tech-savvy readers and newcomers to the field.

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Behave

The Biology of Humans at Our Best and Worst

Robert Sapolsky

In this book, Sapolsky delves into the complex interplay of biological processes, including neuroscience, genetics, and hormones, to explain why humans behave in various ways. He examines behavior on multiple time scales, from the immediate neural responses to actions that occur over centuries and millennia. The book addresses topics such as tribalism, xenophobia, hierarchy, competition, morality, and free will, providing a nuanced and multifaceted understanding of human behavior. Sapolsky's approach integrates cutting-edge research across several disciplines to offer insights into the biological basis of human actions, both good and bad.

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The Computational Brain

Patricia Churchland

Terrence J. Sejnowski

This book addresses the foundational ideas of the emerging field of computational neuroscience. It examines a diverse range of neural network models and considers future directions of the field. The authors focus on how groups of neurons interact to enable perception, decision-making, and movement, and how computer models constrained by neurobiological data can reveal these processes. The book covers topics such as visual perception, learning and memory, and sensorimotor integration, and is written for both experts and novices in neuroscience, computer science, cognitive science, and philosophy.

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

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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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