Explore how brain computations can inspire new paths in artificial intelligence in this hour-long lecture by Gabriel Kreiman from Harvard University and Children's Hospital Boston. Delve into the fundamental revolutions in neuroscience and AI, examining topics such as the Cambrian Explosion, Three Levels of Analysis, and visual illusions. Investigate the workings of vision, neural anatomy, and functional interactions in the brain. Learn about selective neurons, deep convolutional networks, and the potential for groundbreaking advancements in AI inspired by neuroscience. Gain insights from historical figures like Richard Feynman and contemporary research to understand the intersection of brain science and artificial intelligence.
How Brain Computations Can Inspire New Paths in AI - Part 1
Overview
Syllabus
Intro
The best is yet to come
The true fundamental revolutions
The plan
The Cambrian Explosion
Three Levels of Analysis
Visual Illusions
Bill Clinton
Margaret Toucher
White and Gold
How a car works
How vision works
The unfortunate consequences of lesions
Visual cortex
Microscopic connectivity
Neural anatomical connections
Functional interactum
The fundamental revolution
Heroic investigations
The human brain
Selective neurons
Richard Feynman
Sir Seymour Pappard
Requirements
Rene Magritte
Deep convolutional networks
Taught by
MITCBMM
