EE 579 - Neural Engineering: Merging Engineering With Neuroscience

Institution:

University of Kentucky

Subject:

Description:

A multidisciplinary approach combining engineering principles for systems analysis and control, knowledge of biological control mechanisms, and computational properties of biological neural networks in the development of engineering neural networks for control applications. Topics include: equivalent circuit models for biological neurons and networks, non-linear differential equation representations, biological control strategies for rhythmic movements, design and development of controller for robot function, proposal development and presentation. Prereq: EE 422G and Engineering Standing or consent of instructor. (Same as BME 579.)

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uky.edu

Phone Number:

(859) 257-9000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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