Overview
Explore a comprehensive lecture on the development of a large-scale computational model of feedforward visual processing in the primate cortex. Delve into experimental evidence from electrophysiology studies with awake behaving monkeys engaged in rapid natural scene categorization tasks. Examine the extension of a feedforward hierarchical model from 2D shape processing to motion, depth, and color. Discover how this bio-inspired approach to computer vision performs compared to state-of-the-art systems in real-world applications. Learn about the potential contributions of neuroscience to computer science and artificial intelligence. Gain insights into visual dynamics, rapid visual presentation, fracture physiology analysis, deep learning architectures, neural network limitations, and extended models. Explore practical applications in ALS therapy, automation, and behavioral core analysis. Engage with questions on functional connectivity and the latest advancements in understanding visual cortex computation.
Syllabus
Intro
Overview
Visual dynamics
Rapid visual presentation
Training monkeys
Fracture physiology analysis
Why do we care
The stateoftheart
Deep learning architectures
Neural network limitations
Linear nonlinear model
Texture recognizers
Visual cues
Extended models
Example
Results
ALS therapy
Automation
Automatic behavioral core
Kevins study
Work in the wild
Questions
Functional connectivity
Taught by
MITCBMM