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Dec 04, 2024
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BIOS 4180 - 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; mathematical solutions; compartmental models; Hodgkin-Huxley equations; introduction to software for simulating synapses, neurons and networks of neurons; intracellular mechanisms and calcium models; reaction-diffusion modeling - stochastic approaches; simplified models of neurons. NEURON taught. Students are expected to complete a simulation project using one of the available software packages.
Requisites: BIOS 4140 and MATH 2302
Credit Hours: 3
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 2.0 lecture, 2.0 laboratory
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes: - Students will be able to generate computational models of single neurons and networks with available software.
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