12590821

Source:http://linkedlifedata.com/resource/pubmed/id/12590821

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0009219, umls-concept:C0442043, umls-concept:C1521828, umls-concept:C1882071
pubmed:issue	1
pubmed:dateCreated	2003-2-19
pubmed:abstractText	A functional role for precise spike timing has been proposed as an alternative hypothesis to rate coding. We show in this article that both the synchronous firing code and the population rate code can be used dually in a common framework of a single neural network model. Furthermore, these two coding mechanisms are bridged continuously by several modulatable model parameters, including shared connectivity, feedback strength, membrane leak rate, and neuron heterogeneity. The rates of change of these parameters are closely related to the response time and the timescale of learning.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9426182
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jan
pubmed:issn	0899-7667
pubmed:author	pubmed-author:AiharaKazuyukiK, pubmed-author:MasudaNaokiN
pubmed:issnType	Print
pubmed:volume	15
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	103-25
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:12590821-Action Potentials, pubmed-meshheading:12590821-Neural Networks (Computer)
pubmed:year	2003
pubmed:articleTitle	Duality of rate coding and temporal coding in multilayered feedforward networks.
pubmed:affiliation	Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, University of Tokyo, Tokyo, Japan. masuda@sat.t.u-tokyo.ac.jp
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't