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Cerebellar Learning by Decorrelation Control

Paul Dean and John Porrill

Centre for Signal Processing in Neuroimaging and Systems Neuroscience, Department of Psychology, University of Sheffield , UK

Models of the cerebellar algorithm need to satisfy both biological and computational constraints. We have focussed on the latter, by simulating calibration of the vestibulo-ocular reflex (VOR) using linearised dynamics, an adaptive filter to represent cerebellar cortex, and a standard covariance learning rule. The simulations have addressed the following issues.

This computational approach, inasmuch as it solves important control problems, is likely to be of interest to (for example) robotics even if biologically mistaken. However, for understanding the actual cerebellum biological fidelity is of course crucial. Can the biological and computational approaches meet?