Course Schedule and Catalog
Course Catalog - 2019-2020
NEUR 582 - INTRO COMPUTATIONAL NEURSCI
Long Title: INTRODUCTION TO COMPUTATIONAL NEUROSCIENCE
Department: Neuroscience
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Description: Introduction to methods and theories used to describe and understand neural information processing in the brain. Models covered will range from single neuron to networks for sensory, motor and learning tasks. Programming exercises will be done using Matlab. Additional coursework required beyond the undergraduate course requirements. Graduate/Undergraduate Equivalency: NEUR 382. Mutually Exclusive: Cannot register for NEUR 582 if student has credit for ELEC 382/NEUR 382.