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

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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.

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INSIGHT

Algorithmic Level of Brain Function

Traditional bottom-up and top-down approaches in neuroscience haven't fully explained brain function.
An emerging "algorithmic level" investigates how neural circuits use algorithms, offering a more promising approach.

INSIGHT

Basal Ganglia and Value Function

The basal ganglia learns action sequences by predicting reward values.
This "value function" guides actions and thoughts, improving performance through practice.

ADVICE

Learning How to Learn MOOC

Take the free "Learning How to Learn" MOOC by Dr. Sejnowski and Barbara Oakley.
It teaches effective learning strategies for people of all ages, from 10 to 90.

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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.

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.

Innate

How the Wiring of the Brain Shapes Who We Are

Kevin J. Mitchell

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.

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

Algorithmic Level of Brain Function

Basal Ganglia and Value Function

Learning How to Learn MOOC

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