Computational Neuroscience Home

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Description

Bi485/585. The nervous system represents and processes information to generate adaptive behaviors, but in ways that remain obscure. A key obstacle to understanding the neuronal basis of behavior is the fact that the nervous system is a large, highly-interconnected network of neurons, and each neuron is a nonlinear element intractable to most forms of mathematical analysis. Thus computer modeling has become an essential tool in the neurosciences. The purpose of this course is to teach the basic elements of numerical techniques for modeling the nervous system from single neurons to neural networks. Designed as a practical workshop, the course focuses on weekly laboratory exercises.

Meeting times

Wednesday, 1:00 - 1:50 pm, 30 Pacific Hall
Friday, 1:00 - 5:00 pm 129 Huestis Hall

Contact

Instructor: Shawn Lockery, 305/311 Huestis Hall
Email: shawn [ ] uoregon.edu
Phone: 346-4590
Office hours: Wed, 2-3 pm, 305 Huestis (or by appointment)

GTF: Conor O'Sullivan
Email: conoro [ ] uoregon.edu
Office hours: Mon, 3 am - 4 am, 206 LISB








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