PHYS 380 - Foundations of Computational Neuroscience

Institution:

University of San Francisco

Subject:

Description:

Prerequisite: Consent of instructor. An introduction to the physical, mathematical, and computational concepts and techniques used to formulate biophysical models of neurons and synaptic transmissions to study the brain and neural systems. Simple biological systems, such as population growth and predator-prey models, are used to introduce dynamical systems. This is followed by a physiological description of the neuron, including its biophysical and electrical properties. Each topic covered includes a physiological introduction, physical-mathematical analysis, and computer modeling. Topics include ion movement through cell membranes, single-neuron models, generation of action potentials, synapses and neurotransmitters, neuronal networks, and learning and memory. Software simulation platforms are used both in lectures and in laboratories. The course does not assume previous physics, biology, or programming experience. Three hours lecture and three hours lab weekly.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.usfca.edu/

Phone Number:

(415) 422-5555

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Semester

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