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Welcome to CSE 590RR
Introduction to Computational Neuroscience
Rajesh Rao (Instructor)
Sandra Fan and Kai Miller (TAs)
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).
These web pages will be updated throughout the quarter. Check this page frequently for possible announcements (below). Be sure to join the class mailing list and browse the email archive. To join, visit the mailing list info page. Announcements will be posted in the space below.
09/30/03: First day of class: Welcome!
10/02/03: Homework 1 has been posted. Due Tuesday, Oct. 14.
10/16/03: Homework #2 ("The joy of neural encoding and decoding") is up. Due Tuesday, October 28.
10/30/03: Homework #3 ("Modeling Neurons and Synapses") is up. Due Thursday, November 13.
11/07/03: You can now sign up to present your project.
11/14/03: Homework #4 ("Networking and Learning") is up. Due Tuesday, November 25.
11/11/03: No Class - University Holiday
11/27/03: No Class - University Holiday
11/25/03: Date for turning in the group project reports has been extended to 5pm on Friday, December 5 (rather than noon on Dec 4). This will allow you to focus on your presentation on Dec 2/4 and provide an extra day to incorporate into the report any comments or suggestions made during your presentation.
You may email your report to Sandra (with a cc to me) or drop off a hardcopy at my office (CSE 566) -- slide it under my door if I am not in. The deadline for both options is 5pm Dec 5.
Presentation details: You may email me your slides by 11am on the day of the presentation and use my laptop for your presentation or bring your own laptop if your presentation requires special software or uses demos. In the latter case, you may want to print out transparencies as a back-up in case the projector does not recognize your laptop.
Brain image from cover of Dayan & Abbott's textbook. Portions of the CSE 590RR Web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly credited. The CSE 590RR Web: Copyright 2003, Department of Computer Science and Engineering, University of Washington.
Department of Computer Science & Engineering|
University of Washington
Seattle, WA 98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX
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