DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Geehyuk | ko |
dc.contributor.author | Farhat, NH | ko |
dc.date.accessioned | 2013-03-04T16:21:21Z | - |
dc.date.available | 2013-03-04T16:21:21Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2002-01 | - |
dc.identifier.citation | NEURAL NETWORKS, v.15, no.1, pp.69 - 84 | - |
dc.identifier.issn | 0893-6080 | - |
dc.identifier.uri | http://hdl.handle.net/10203/83252 | - |
dc.description.abstract | The Bifurcating Neuron (BN), a chaotic integrate-and-fire neuron, is a model of a neuron augmented by coherent modulation from its environment. The BN is mathematically equivalent to the sine-circle map. and this equivalence relationship allowed us to apply the mathematics of one-dimensional maps to the design of a BN network. The study of the bifurcating diagram of the BN revealed that the BN, under a suitable condition, can function as an amplitude-to-phase converter. Also. being an integrate-and-fire neuron, it has an inherent capability to function as a coincidence detector. These two observations led us to the design of the BN Network 2 (BNN-2), a pulse-coupled neural network that exhibits associative memory of multiple analog patterns. In addition to the usual dynamical proper-ties as an associative memory, the BNN-2 was shown to exhibit volume-holographic memory: it switches to different pages of its memory space as the frequency of the coherent modulation changes, meaning context-sensitive memory. (C) 2002 Elsevier Science Ltd. All rights reserved. | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | The Bifurcating Neuron Network 2: an analog associative memory | - |
dc.type | Article | - |
dc.identifier.wosid | 000174920100005 | - |
dc.identifier.scopusid | 2-s2.0-0036123508 | - |
dc.type.rims | ART | - |
dc.citation.volume | 15 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 69 | - |
dc.citation.endingpage | 84 | - |
dc.citation.publicationname | NEURAL NETWORKS | - |
dc.identifier.doi | 10.1016/S0893-6080(01)00100-9 | - |
dc.contributor.localauthor | Lee, Geehyuk | - |
dc.contributor.nonIdAuthor | Farhat, NH | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | bifurcating neuron | - |
dc.subject.keywordAuthor | integrate-and-fire neuron | - |
dc.subject.keywordAuthor | time coding | - |
dc.subject.keywordAuthor | coherence | - |
dc.subject.keywordAuthor | analog associative memory | - |
dc.subject.keywordAuthor | Bifurcating Neuron network | - |
dc.subject.keywordAuthor | neural network | - |
dc.subject.keywordPlus | SPIKING NEURONS | - |
dc.subject.keywordPlus | VISUAL-CORTEX | - |
dc.subject.keywordPlus | EEG | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | CAT | - |
dc.subject.keywordPlus | REPRESENTATION | - |
dc.subject.keywordPlus | OSCILLATIONS | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | PATTERNS | - |
dc.subject.keywordPlus | RAT | - |
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