

How AI is helping us to understand how our brains learn
18 snips Mar 3, 2025
Andrew Saxe, a computational neuroscientist at University College London, discusses the groundbreaking intersection of AI and neuroscience. He reveals how AI mimics human learning processes, shedding light on the complexities of brain function. The conversation touches on AI's potential in enhancing education and understanding memory formation, particularly the role of the hippocampus. Saxe also highlights future possibilities in treating brain disorders and the exciting discoveries in connecting AI learning mechanisms with human cognitive processes.
AI Snips
Chapters
Transcript
Episode notes
Learning's Importance
- Professor Andrew Saxe focuses on learning because it constitutes a significant part of human mental life.
- He believes a comprehensive theory of learning could explain various brain functions, similar to how Newton's laws explain diverse physical phenomena.
AI and Brain Learning
- AI systems, like chatbots, were inspired by the brain's neural networks.
- Saxe's lab investigates whether the brain's learning processes resemble these AI systems, using experiments to test this hypothesis.
Neural Networks and Deep Learning
- Artificial neural networks consist of simple interconnected computational elements.
- Learning occurs by strengthening or weakening connections within the network, enabling it to perform complex tasks.