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

In this podcast episode, Dr. Andrew Huberman interviews Dr. Terry Sejnowski, a leading figure in computational neuroscience, who discusses the intersection of neuroscience and artificial intelligence (AI) in understanding learning and motivation. Dr. Sejnowski explains how algorithms in both the brain and AI systems can enhance our comprehension of cognitive processes. He emphasizes the role of dopamine in motivation, the importance of active learning, and the benefits of physical exercise on cognitive function. The conversation also covers the significance of sleep for memory consolidation, the impact of technology on learning, and the future of AI in neuroscience. Additionally, they explore philosophical questions about consciousness and free will, the influence of learning on brain development, and the value of social interaction in education. Dr. Sejnowski envisions a future where neuroscience insights inform teaching practices, fostering a growth mindset and effective learning environments.

00:00 Introduction
00:23 The Intersection of Neuroscience and AI
01:34 Understanding Motivation Through Dopamine
02:37 The Science of Learning
03:39 The Role of Physical Exercise in Cognition
04:35 Exploring the Healthy and Diseased Brain
05:39 The Importance of Sleep for Learning
06:32 The Role of Technology in Learning
07:25 The Future of AI in Neuroscience
08:13 Consciousness and Free Will
09:02 The Impact of Learning on Brain Development
09:51 The Role of Social Interaction in Learning
10:42 The Future of Education

This video is a podcast summary of the Huberman Lab episode titled 'Dr. Terry Sejnowski: How to Improve at Learning Using Neuroscience & AI'.

Publish date: Nov 18, 2024

#terrysejnowski #hubermanlab #ai #motivation #learning

[podcastsummaries]

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