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Adaptively timed conditioned responses and the cerebellum: A neural network approach

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Abstract

Conditioned responses often reflect knowledge about the timing of a US. This knowledge is manifested in the dependance of response topography on the CS-US interval employed in training. A neural network model and set of learning rules capable of simulating temporally adaptive features of conditioned responses is reviewed, and simulations are presented. In addition, we present a neural network implementation of the model which is designed to reconcile empirical studies of long-term synaptic depression in the cerebellum with neurobiological evidence from studies of the classically conditioned nictitating membrane response of the rabbit.

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Authors and Affiliations

  1. Department of Psychology, University of Massachusetts, 01003, Amherst, MA, USA

    J. W. Moore, J. E. Desmond & N. E. Berthier

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  1. J. W. Moore
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  2. J. E. Desmond
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  3. N. E. Berthier
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Moore, J.W., Desmond, J.E. & Berthier, N.E. Adaptively timed conditioned responses and the cerebellum: A neural network approach. Biol. Cybern. 62, 17–28 (1989). https://doi.org/10.1007/BF00217657

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