Spring 2009 MAT 598
Computational Neuroscience
Tuesday and Thursday 12:00-1:15


Instructor: Dr. Sharon Crook
Office: Goldwater Building, Room 648
email: sharon.crook@asu.edu
Office Hours: Tuesday and Thursday 11:00-12:30
Website: http://math.la.asu.edu/~crook

If you wish to request an accommodation for a disability, please contact me as early as possible in the semester.

Recommended Texts:
Theoretical Neuroscience, Dayan and Abbott. MIT Press. 2001.
Simulating, Analyzing and Animating Dynamical Systems: A Guide to XPPAUT for Researchers and Students, Bard Ermentrout. Society for Industrial and Applied Mathematics. 2002.

Course Description: Theoretical and computational neuroscience approaches seek to analyze and understand the behavior and function of neural systems at many different levels. This course focuses on modeling and analysis techniques at the network and systems levels. Broadly, topics will include non-oscillatory and oscillatory networks at the circuit and large network levels and models of learning and memory. Theoretical and computational approaches will be presented in the context of both invertebrate and vertebrate neural systems. The course will end with presentations by students on projects of their choosing.

Prerequisites: MAT 274 (Elementary Differential Equations) or an equivalent course.