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More models of the cerebellum

Published online by Cambridge University Press:  19 May 2011

James C. Houk and
Andrew G. Barto
James C. Houk
Affiliation:
Department of Physiology, Northwestern University Medical School, Chicago, IL 60611, houk@casbah.acns.nwu.edu
Andrew G. Barto
Affiliation:
Department of Computer Science, University of Massachusetts, Amherst, MA 01003, barto@cs.umass.edu
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Abstract

Neural models are needed at many levels, ranging from the biophysically based to connectionist abstractions. The adjustable pattern generator (APG) model of the cerebellum discussed in the target article by Houk, Buckingham, and Barto operates at an intermediate level and is constrained by a large body of anatomical and physiological data. The associative memory model originally proposed by Marr (1969) and Albus (1971) on the basis of the microcircuitry of the cerebellar cortex is still relevant today, although it needs to be coupled to the problem of motor pattern generation. In considering the problem of cerebellar learning, one needs some source of training information to adjust network performance so that it performs fruitful interactions with the environment; however, it is not true that this “teacher” needs to be particularly smart. We address these and other important issues raised by the commentators.

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Behavioral and Brain Sciences , Volume 19 , Special Issue 3 , September 1996, pp. 492 - 496
Copyright
Copyright © Cambridge University Press 1996

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