Mathematics, Life Sciences, Mathematics, Engineering, Computer Science, Medicine
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.)