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

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

Research output: Contribution to journalArticlepeer-review

72 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)17-28
Number of pages12
JournalBiological Cybernetics
Issue number1
StatePublished - Nov 1 1989
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science(all)


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