COGS 21 Introduction to Computational Neuroscience

Your brain is composed of low-precision, slow, sparsely-connected computing elements, yet it outperforms any extant computer on tasks ranging from perception to planning. Computational Neuroscience has as its twin goals the scientific understanding of how brains compute thought, and the engineering capability to reconstruct the identified computations. Topics in the class included anatomical circuit design, physiological operating rules, evolutionary derivation, mathematical analyses, and emergent behavior, as well as development of applications from robotics to medicine.

Instructor

Granger

Cross Listed Courses

PSYC 40; COSC 16

Degree Requirement Attributes

SCI

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Offered

• Fall