BIOS 5180 - Methods in Computational Neuroscience

Lecture, discussion, and computer lab. Introduction to mathematical and computational techniques for modeling single neurons and networks of neurons. Cable theory; Rall’s model; compartmental models; introduction to available software for simulating neurons and networks of neurons; modeling of action potentials, Hodgkin-Huxley equations, synaptic conductances, and voltage-dependent conductances; Hebbian synapses; synaptic modification rules; quantal analysis; neural networks. Students are expected to complete a simulation project using one of the available software packages.

Requisites

Credit Hours: 3.0
Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 2.0 lecture, 2.0 laboratory

Eligible grades: A-F,CR,PR,WP,WF,FN,FS,AU,I