Biological Cybernetics

, Volume 62, Issue 1, pp 17–28 | Cite as

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

  • J. W. Moore
  • J. E. Desmond
  • N. E. Berthier


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.


Neural Network Depression Empirical Study Network Model Neural Network Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag 1989

Authors and Affiliations

  • J. W. Moore
    • 1
  • J. E. Desmond
    • 1
  • N. E. Berthier
    • 1
  1. 1.Department of PsychologyUniversity of MassachusettsAmherstUSA

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