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Jan 28, 2025
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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
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 2.0 lecture, 2.0 laboratory
Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to generate computational models of individual neurons and networks with available simulation packages.
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