Adaptively timed conditioned responses and the cerebellum: a neural network approach.
Conditioned responses often reflect knowledge about the timing of a US. This knowledge is manifested in the dependence 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.
Moore
J W
JW
Department of Psychology, University of Massachusetts, Amherst 01003.
Desmond
J E
JE
Berthier
N E
NE
D000818:Animals; D002531:Cerebellum / Q000502:physiology*; D003198:Computer Simulation; D003214:Conditioning, Classical; D008959:Models, Neurological; D009415:Nerve Net; D011817:Rabbits; D011930:Reaction Time / Q000502:physiology*