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9.641J / 8.594J Introduction to Neural Networks, Spring 2005

Neurons forming a network in disassociated cell culture.
Neurons forming a network in disassociated cell culture. (Image courtesy of Seung Laboratory, MIT Department of Brain and Cognitive Sciences.)

Highlights of this Course

This course features a selection of downloadable lecture notes and problem sets in the assignments section.

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.

Technical Requirements

Special software is required to use some of the files in this course: .mat, and .m.

 

Staff

Instructor:
Prof. Sebastian Seung

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours /session

Level

Graduate

Additional Features

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Translations
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