DocumentCode
335166
Title
Real neural networks in movement control
Author
Robinson, David A.
Author_Institution
Dept. of Biomed. Eng. & Ophthalmology, Johns Hopkins Univ., Baltimore, MD, USA
Volume
1
fYear
1994
fDate
29 June-1 July 1994
Firstpage
84
Abstract
Biological control systems use neurons and muscles. Most use thousands of neurons and dozens of muscles and we despair of understanding them in any reductionist sense. There do exist, however, a few neural circuits that we "more-or-less" understand. One is the vestibulo-ocular reflex that stabilizes our eyes in space by compensating for head movements. Investigation soon reveals the existence of a neural network that integrates velocity commands (coded in neural firing rate) to produce eye-position commands. Thus we converge on the problem of how a group of neurons can connect themselves up to perform integration in the sense of Newtonian calculus. This paper reviews current research on this specific, if rare, example of how the brain processes signals.
Keywords
biocontrol; biomechanics; brain; eye; muscle; neural nets; neurophysiology; physiological models; biological control systems; eye-position commands; movement control; muscles; neural circuits; neurons; velocity commands; vestibulo-ocular reflex; Biological neural networks; Circuits; Eyes; Head; Intelligent networks; Irrigation; Muscles; Neural networks; Neurons; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.751699
Filename
751699
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