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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, S | - |
| dc.contributor.author | Lee, SG | - |
| dc.date.accessioned | 2016-03-31T13:24:08Z | - |
| dc.date.available | 2016-03-31T13:24:08Z | - |
| dc.date.created | 2009-02-28 | - |
| dc.date.issued | 2000-12-15 | - |
| dc.identifier.issn | 0378-4371 | - |
| dc.identifier.other | 2001-OAK-0000001700 | - |
| dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/19744 | - |
| dc.description.abstract | The simplified models of neural networks based on biophysical Hodgkin-Huxley neurons are studied with a focus on coherent-phase dynamics. In our approach, each neuron is considered as a nonlinear oscillator, and collective dynamics of a mesoscopic network of neural oscillators are studied using the methods of nonlinear dynamics. We explore the mechanisms for synchrony, clustering and their breakup in the synaptic parameter space and discuss implications to temporal aspects of neural-information processing. (C) 2000 Elsevier Science B.V. All rights reserved. | - |
| dc.description.statementofresponsibility | X | - |
| dc.language | English | - |
| dc.publisher | ELSEVIER SCIENCE BV | - |
| dc.relation.isPartOf | PHYSICA A | - |
| dc.subject | biological neural networks | - |
| dc.subject | nonlinear oscillations | - |
| dc.subject | synchrony | - |
| dc.subject | phase models | - |
| dc.subject | CAT VISUAL-CORTEX | - |
| dc.subject | LIMIT-CYCLE OSCILLATORS | - |
| dc.subject | HODGKIN-HUXLEY NEURONS | - |
| dc.subject | COUPLED OSCILLATORS | - |
| dc.subject | TIME-DELAY | - |
| dc.subject | TEMPORAL SEGMENTATION | - |
| dc.subject | SYSTEM | - |
| dc.subject | SYNCHRONIZATION | - |
| dc.subject | CHAOS | - |
| dc.subject | MODEL | - |
| dc.title | Phase dynamics in the biological neural networks | - |
| dc.type | Article | - |
| dc.contributor.college | 물리학과 | - |
| dc.identifier.doi | 10.1016/S0378-4371(00)00435-0 | - |
| dc.author.google | Kim, S | - |
| dc.author.google | Lee, SG | - |
| dc.relation.volume | 288 | - |
| dc.relation.issue | 1-4 | - |
| dc.relation.startpage | 380 | - |
| dc.relation.lastpage | 396 | - |
| dc.contributor.id | 10054190 | - |
| dc.relation.journal | PHYSICA A | - |
| dc.relation.index | SCI급, SCOPUS 등재논문 | - |
| dc.relation.sci | SCI | - |
| dc.collections.name | Conference Papers | - |
| dc.type.rims | ART | - |
| dc.identifier.bibliographicCitation | PHYSICA A, v.288, no.1-4, pp.380 - 396 | - |
| dc.identifier.wosid | 000165935700027 | - |
| dc.date.tcdate | 2019-01-01 | - |
| dc.citation.endPage | 396 | - |
| dc.citation.number | 1-4 | - |
| dc.citation.startPage | 380 | - |
| dc.citation.title | PHYSICA A | - |
| dc.citation.volume | 288 | - |
| dc.contributor.affiliatedAuthor | Kim, S | - |
| dc.identifier.scopusid | 2-s2.0-0034501557 | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.description.wostc | 5 | - |
| dc.type.docType | Article; Proceedings Paper | - |
| dc.subject.keywordPlus | CAT VISUAL-CORTEX | - |
| dc.subject.keywordPlus | LIMIT-CYCLE OSCILLATORS | - |
| dc.subject.keywordPlus | HODGKIN-HUXLEY NEURONS | - |
| dc.subject.keywordPlus | COUPLED OSCILLATORS | - |
| dc.subject.keywordPlus | TIME-DELAY | - |
| dc.subject.keywordPlus | TEMPORAL SEGMENTATION | - |
| dc.subject.keywordPlus | SYSTEM | - |
| dc.subject.keywordPlus | SYNCHRONIZATION | - |
| dc.subject.keywordPlus | CHAOS | - |
| dc.subject.keywordPlus | MODEL | - |
| dc.subject.keywordAuthor | biological neural networks | - |
| dc.subject.keywordAuthor | nonlinear oscillations | - |
| dc.subject.keywordAuthor | synchrony | - |
| dc.subject.keywordAuthor | phase models | - |
| dc.relation.journalWebOfScienceCategory | Physics, Multidisciplinary | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Physics | - |
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