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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
1
|
| pubmed:dateCreated |
1990-1-22
|
| pubmed:abstractText |
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.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:issn |
0340-1200
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
62
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
17-28
|
| pubmed:dateRevised |
2003-11-14
|
| pubmed:meshHeading |
pubmed-meshheading:2590676-Animals,
pubmed-meshheading:2590676-Cerebellum,
pubmed-meshheading:2590676-Computer Simulation,
pubmed-meshheading:2590676-Conditioning, Classical,
pubmed-meshheading:2590676-Models, Neurological,
pubmed-meshheading:2590676-Nerve Net,
pubmed-meshheading:2590676-Rabbits,
pubmed-meshheading:2590676-Reaction Time
|
| pubmed:year |
1989
|
| pubmed:articleTitle |
Adaptively timed conditioned responses and the cerebellum: a neural network approach.
|
| pubmed:affiliation |
Department of Psychology, University of Massachusetts, Amherst 01003.
|
| pubmed:publicationType |
Journal Article
|