Computational Neuroscience Offered by University of Washington
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About this Course
This course introduces basic computational methods for understanding what nervous systems do and determining how they work. We will look at the computational principles that govern vision, sensory-motor control, learning, and memory. Specific topics to be covered include information representation by spiking neurons, information processing in neural networks, and adaptation and learning algorithms. To gain a deeper understanding of the concepts and methods introduced in the course, we will use Matlab/Octave/Python demonstrations and exercises. The course is primarily intended for third- and fourth-year undergraduates, as well as beginning graduate students, professionals, and distance learners interested in learning how the brain processes information.
Instructors
Rajesh P. N. Rao
Professor
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