NEUR 374 - Computational Neuroscience

Computational neuroscience is one of the fastest growing fields in neuroscience. By itself, it is a field that is largely concerned with using computational modeling and advanced data analysis techniques to evaluate and extend critical concepts in neuroscience. This course is therefore designed as an introduction to modeling methods and advanced data analysis in cellular and systems neuroscience. Through in-class instruction and computational programming exercises, students explore the use of numerical simulation for modeling the electrical properties of neuron membrane channels, single cells, and a variety of processes within micro and macro-scale neural networks.

Credits: 1
Corequisite: None
Prerequisites: (NEUR 170 or PSYC 275) and BIOL 182
Major/Minor Restrictions: None
Class Restriction: None
Area of Inquiry: Natural Sciences & Mathematics
Liberal Arts CORE: None

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