Who is this class for: The course is primarily aimed at third- or fourth-year undergraduates and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information.


Created by:   University of Washington

  • Rajesh P. N. Rao

    Taught by:    Rajesh P. N. Rao, Professor

    Computer Science & Engineering

  • Adrienne Fairhall

    Taught by:    Adrienne Fairhall, Associate Professor

    Physiology and Biophysics

LevelBeginner
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
Syllabus

FAQs

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How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
University of Washington
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
Ratings and Reviews
Rated 4.7 out of 5 of 85 ratings

Lectures are concise; quizzes are helpful. Great introduction to computational neuroscience!

An amazing course for people with a computer science background wishing to explore the world of human brain from CS perspective.

Excellent Course, with very clear and detailed explanations, and a lot of additional materials indicated through links and papers. I particularly enjoyed the Guest Lectures as well, showing the applicability of what was learned in real life.

Phenomenal course. My background is in mechanical engineering, but all the biological concepts were explained clearly and concisely. I wish a bit more modeling in Matlab was done, but overall I'm very pleased with the course. A solid background in linear algebra, statistics, and some basic calculus is recommended to get the most out of the course.