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Do cortical and basal ganglionic motor areas use “motor programs” to control movement?

Published online by Cambridge University Press:  19 May 2011

Garrett E. Alexander
Affiliation:
Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, Electronic mail: gea@sunipc.neuro.emory.edu
Mahlon R. DeLong
Affiliation:
Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, Electronic mail: gea@sunipc.neuro.emory.edu
Michael D. Crutcher
Affiliation:
Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, Electronic mail: gea@sunipc.neuro.emory.edu

Abstract

Prevailing engineering-inspired theories of motor control based on sequential/algorithmic or motor-programming models are difficult to reconcile with what is known about the anatomy and physiology of the motor areas. This is partly because of certain problems with the theories themselves and partly because of features of the cortical and basal ganglionic motor circuits that seem ill-suited for most engineering analyses of motor control. Recent developments in computational neuroscience offer more realistic, that is, connectionist, models of motor processing. The distributed, highly parallel, and nonalgorithmic processes in these models are inherently self-organizing and hence more plausible biologically than their more traditional algorithmic or motor-programming counterparts. The newer models also have the potential to explain some of the unique features of natural, brain-based motor behavior and to avoid some of the computational dilemmas associated with engineering approaches.

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Target Article
Copyright
Copyright © Cambridge University Press 1992

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