BIOL 133L KS - Introduction to Computational Neuroscience

This course provides computational skills for neural data analysis, modeling of neural activity, and the analysis of time-delayed feedback control mechanisms. The laboratory develops computer programming skills for the analysis of neural time series including spiking and bursting neurons, power spectral analysis, and phase resetting of neural oscillators.

Prerequisite(s): MATH030 SC  and permission of instructor. A course in computer programming is useful, but is not required. Students must have a personal computer with internet access. For students who do not have a personal computer, please see instructor for other options.
Fee: Laboratory fee $50
Course Credit: 1.0
Offered: Every fall

This course information is from the 2021-2022 Scripps Catalog. View this catalog.

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