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Oct 04, 2024
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BIOS 418 - 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, Hodkin-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. 3 lec, 2 lab arr.
Prerequisites: BIOS 414 & (MATH 263B OR MATH 266B) Credit Hours: 4 Repeat/Retake Information: May be retaken one time excluding withdrawals, but only last course taken counts. Note: Effective Summer Quarter 2010-11 (June 2011) any non-repeatable course may be retaken two times excluding withdrawals, but only last course taken counts.
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