PSY221F
Download as PDF
PSY 221F - Computational Neuroscience
Psychological and Brain Sciences
College of Letters and Science
Full Course Title
Computational Neuroscience
Instructor Name(s)
Beyeler
Course Description
Survey of methods in computational neuroscience; single cell methods including Hodgkin-Huxley models, occupation theory, integrate-and-fire models; neural network modeling including linear system theory, nonlinear dynamics, connectionism, Hodgkin-Huxley-like network models, models of synaptic plasticity, methods for generating predicted BOLD signals.
Unit Value
4
Maximum number of times course can be repeated for additional credit
99
Maximum Units
99
Prerequisites
Advisory Enrollment Comments
Formally PSY 265. PSY 221F is a substitute for PSY 265, but PSY 265 is NOT a substitute for PSY 221F.
Repeat Comments
PSY 221F may be taken as a repeat of PSY 265.