Computational Neuroscience: From Populations to Behavior
Course Number: NEURL-UA 302
Prerequisite: NEURL-UA 100 (Intro to Neural Science)
Semester: Fall
Description:
This course will introduce students to computational neuroscience at the level of populations of
neurons, behavior, and networks. Specific topics: the brain in numbers, receptive fields, tuning
curves, linear-nonlinear models, neural variability, choice probability, signal detection theory,
population codes, correlations, neural decoding, brain-machine interfaces, neural networks, and
artificial intelligence. Programming will be done i n Matlab; no familiarity i s assumed. In terms of
math, a good grasp of Calculus 1 is sufficient.