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Adaptively timed conditioned responses and the cerebellum a neural network approach



Adaptively timed conditioned responses and the cerebellum a neural network approach



Society for Neuroscience Abstracts 15(1): 506



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.

Accession: 006987533

Download citation: RISBibTeXText

PMID: 2590676

DOI: 10.1007/bf00217657


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