| pubmed-article:2590676 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:2590676 | lifeskim:mentions | umls-concept:C0598941 | lld:lifeskim |
| pubmed-article:2590676 | lifeskim:mentions | umls-concept:C0007765 | lld:lifeskim |
| pubmed-article:2590676 | lifeskim:mentions | umls-concept:C0034936 | lld:lifeskim |
| pubmed-article:2590676 | lifeskim:mentions | umls-concept:C0392761 | lld:lifeskim |
| pubmed-article:2590676 | lifeskim:mentions | umls-concept:C0449445 | lld:lifeskim |
| pubmed-article:2590676 | pubmed:issue | 1 | lld:pubmed |
| pubmed-article:2590676 | pubmed:dateCreated | 1990-1-22 | lld:pubmed |
| pubmed-article:2590676 | 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. | lld:pubmed |
| pubmed-article:2590676 | pubmed:language | eng | lld:pubmed |
| pubmed-article:2590676 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:2590676 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:2590676 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:2590676 | pubmed:issn | 0340-1200 | lld:pubmed |
| pubmed-article:2590676 | pubmed:author | pubmed-author:MooreJ WJW | lld:pubmed |
| pubmed-article:2590676 | pubmed:author | pubmed-author:BerthierN ENE | lld:pubmed |
| pubmed-article:2590676 | pubmed:author | pubmed-author:DesmondJ EJE | lld:pubmed |
| pubmed-article:2590676 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:2590676 | pubmed:volume | 62 | lld:pubmed |
| pubmed-article:2590676 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:2590676 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:2590676 | pubmed:pagination | 17-28 | lld:pubmed |
| pubmed-article:2590676 | pubmed:dateRevised | 2003-11-14 | lld:pubmed |
| pubmed-article:2590676 | pubmed:meshHeading | pubmed-meshheading:2590676-... | lld:pubmed |
| pubmed-article:2590676 | pubmed:meshHeading | pubmed-meshheading:2590676-... | lld:pubmed |
| pubmed-article:2590676 | pubmed:meshHeading | pubmed-meshheading:2590676-... | lld:pubmed |
| pubmed-article:2590676 | pubmed:meshHeading | pubmed-meshheading:2590676-... | lld:pubmed |
| pubmed-article:2590676 | pubmed:meshHeading | pubmed-meshheading:2590676-... | lld:pubmed |
| pubmed-article:2590676 | pubmed:meshHeading | pubmed-meshheading:2590676-... | lld:pubmed |
| pubmed-article:2590676 | pubmed:meshHeading | pubmed-meshheading:2590676-... | lld:pubmed |
| pubmed-article:2590676 | pubmed:meshHeading | pubmed-meshheading:2590676-... | lld:pubmed |
| pubmed-article:2590676 | pubmed:year | 1989 | lld:pubmed |
| pubmed-article:2590676 | pubmed:articleTitle | Adaptively timed conditioned responses and the cerebellum: a neural network approach. | lld:pubmed |
| pubmed-article:2590676 | pubmed:affiliation | Department of Psychology, University of Massachusetts, Amherst 01003. | lld:pubmed |
| pubmed-article:2590676 | pubmed:publicationType | Journal Article | lld:pubmed |
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