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A model of the cerebellum in adaptive control of saccadic gain

โœ Scribed by Nicolas Schweighofer; Michael A. Arbib; Peter F. Dominey

Publisher
Springer-Verlag
Year
1996
Tongue
English
Weight
732 KB
Volume
75
Category
Article
ISSN
0340-1200

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โœฆ Synopsis

A large, realistic cerebellar neural network has been incorporated into a previously developed saccade model. Using this model, in the present paper, we simulate the complex spatiotemporal behavior of the neuronal subpopulations implicated in adaptive saccadic control. Our simulation results are in good agreement with neurophysiological and behavioral data. Furthermore, we suggest several new experiments to test the validity of our predictions on adaptive saccadic control.

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