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Computational Neuroscience


Provider
coursera

Price
Free

School
University of Washington

Type
University

Instructors
Rajesh Rao, Adrienne Fairhall

Categories
Mathematics, Life Sciences, Mathematics, Engineering, Computer Science, Medicine

Duration
8 weeks

Format
Video

Language
English

Description
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 networks, 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. 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. Beginning with the Spring 2015 offering, Signature Track and Verified Certificates are available for this class. The formatting on the verified certificate is very slightly different from those for courses from other institutions. An example certificate is here. (The date on the actual certificates will be different.)