Neurons forming a network in disassociated cell culture. (Image courtesy of Seung Laboratory, MIT Department of Brain and Cognitive Sciences.)
Instructor(s)
Prof. Sebastian Seung
MIT Course Number
9.641J / 8.594J
As Taught In
Spring 2005
Level
Graduate
Course Description
Course Features
Course Description
This course explores the organization of synaptic connectivity as the basis of neural computation and learning. Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learning, as well as models of perception, motor control, memory, and neural development.
