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Recurrent cerebellar architecture solves the motor-error problem

Porrill, J., Dean, P. and Stone, J.V. (2004) Recurrent cerebellar architecture solves the motor-error problem. Proceedings of the Royal Society B: Biological Sciences, 271 (1541). pp. 789-796. ISSN 0962-8452

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Abstract

Current views of cerebellar function have been heavily influenced by the models of Marr and Albus, who suggested that the climbing fibre input to the cerebellum acts as a teaching signal for motor learning. It is commonly assumed that this teaching signal must be motor error (the difference between actual and correct motor command), but this approach requires complex neural structures to estimate unobservable motor error from its observed sensory consequences.

We have proposed elsewhere a recurrent decorrelation control architecture in which Marr-Albus models learn without requiring motor error. Here, we prove convergence for this architecture and demonstrate important advantages for the modular control of systems with multiple degrees of freedom. These results are illustrated by modelling adaptive plant compensation for the three-dimensional vestibular ocular reflex. This provides a functional role for recurrent cerebellar connectivity, which may be a generic anatomical feature of projections between regions of cerebral and cerebellar cortex.

Item Type: Article
Copyright, Publisher and Additional Information: © 2004 The Royal Society
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield)
Depositing User: Repository Assistant
Date Deposited: 29 Jun 2006
Last Modified: 06 Jun 2014 19:27
Published Version: http://dx.doi.org/10.1098/rspb.2003.2658
Status: Published
Publisher: The Royal Society Publishing
Refereed: Yes
Identification Number: 10.1098/rspb.2003.2658
URI: http://eprints.whiterose.ac.uk/id/eprint/1431

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