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 CSE/NEUBEH 528: Computational Neuroscience
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Welcome to CSE/NEURO 528

Computational Neuroscience

Spring 2020

Rajesh Rao and Adrienne Fairhall (Instructors)


Roman Levin (TA)

MW 11:30am-12:50pm

Online via Zoom (connect using your UW Canvas account)

This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural circuits, and algorithms for adaptation and learning. We will make use of Matlab demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. (Prerequisites: Familiarity with basic concepts in calculus, differential equations, linear algebra, and probability theory).

Class Discussion Board: Access via your UW Canvas account.
These web pages will be updated throughout the quarter. Check this page frequently for possible announcements below.

Announcements will be posted in the space below.

03/30/20: First day of class

06/03/20: Last class

Brain image from cover of Dayan & Abbott's textbook. Portions of the CSE 528 Web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly credited. The CSE 528 Web: Copyright 2020, Paul G. Allen School of Computer Science and Engineering, University of Washington.

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[comments to rao at cs dot washington dot edu]