CS 564 : Fall 2002

Brain Theory and Artificial Intelligence



This course is for any graduate student who has been inspired by either of two great questions "How does the brain work?" or "How can we build intelligent machines?" The course is carefully designed so that students may come to the course with a background either in technology, psychology or neuroscience and learn the basics of the other disciplines needed to work on an interdisciplinary team modeling some specific brain mechanisms underlying primate behavior. Students will find the course both challenging and stimulating.


Tu Th 12:30-1:50pm; OHE 100B


Professor Laurent Itti
Office hours: 3-4pm Monday at HNB 30A, (213) 740-3527

Teaching Assistants:

Yoo-hee Shin,
(if full,


Graduate standing; ability to program in C++; background in neuroscience or the behavioral sciences may be plus.


 [TMB] M.A. Arbib, 1989,
The Metaphorical Brain 2: Neural Networks and Beyond, Wiley-Interscience.

Supplementary reading:

M.A. Arbib, Ed., 1995,
The Handbook of Brain Theory and Neural Networks
MIT Press (paperback)

Michael A. Arbib, and Jeffrey Grethe, Editors, 2001,
Computing the Brain: A Guide to Neuroinformatics,
and the Project Team of the University of Southern California Brain Project,
San Diego: Academic Press. 

General Agenda:

One mid-term and a final will cover the entire contents of the readings as well as the lectures. The final exam will cover all of the course, but emphasizing material not covered in the mid-term.

Distribution of Grades:

Homework: 40%; Mid-term: 30%; Final: 30%