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Modeling Neural Systems (MCB 417) A combination lecture/lab course in using computers to model the nervous system
 

Summary: Modeling Neural Systems (MCB 417)
A combination lecture/lab course in using computers to model the nervous system
Each week students will learn to use a new modeling paradigm, and will learn the
relevance of that paradigm for understanding real neural systems.
Instructor: Thomas J. Anastasio
Associate Professor of Molecular and Integrative Physiology
email: tja@uiuc.edu
Teaching assistant Shawn Kohler, email: sjkohler@uiuc.edu
Office hours by appointment
Meeting times: Monday 3-5pm (lecture) Wednesday 3-5pm (computer lab)
Meeting places: lectures in 170 Everitt, labs in 406B8 Engineering Hall
Suggested text: Neural Networks: A Comprehensive Foundation
Author: Simon Haykin, Publisher: Prentice Hall
Work required: Completion of weekly computer lab assignments
Grading method: Grades (plus/minus scale) based on scores on lab reports
Class policy: Lab reports must be turned in two weeks following assignment
date, in class. No credit will be given for late assignments.
Background: Familiarity with computer programming is necessary
Website: http://csn.beckman.uiuc.edu/mcb417
Topics covered:

  

Source: Anastasio, Thomas J. - Beckman Institute for Advanced Science and Technology & Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign

 

Collections: Biology and Medicine