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BMES 353 Computational Neuroscience and Neuroengineering 3.0 Credits

This course provides an introduction to the concepts, methods and applications in the fields of computational neuroscience and neuroengineering. Topics presented include basic electrophysiology, development of models of neurons, neural systems, neural signals and survey of traditional and emerging neurotechnologies for recording and altering brain activity.

College/Department: School of Biomedical Engineering, Science Health Systems
Repeat Status: Not repeatable for credit
Prerequisites: BMES 201 [Min Grade: D] and (MATH 201 [Min Grade: D] or MATH 239 [Min Grade: D]) and (BIO 201 [Min Grade: D] or BIO 218 [Min Grade: D] or BIO 211 [Min Grade: D] or BIO 348 [Min Grade: D] or BIO 349 [Min Grade: D])

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