Model studies on time-scaled phase response curves and synchronization transition

Yasuomi D. Sato, Keiji Okumura, Masatoshi Shiino

研究成果: Conference contribution

抄録

We studied possibilities of classification of single spike neuron models by their intrinsic timescale parameters, because little is known about changes of timescale on spiking dynamics, and its influence on other spike properties and network dynamics such as synchronization. Using both FitzHugh-Nagumo (FHN) type and Terman-Wang (TW) type of theoretically tractable models, analysis of the phase response curve (PRC) found common and unique dynamic characteristics with respect to two parameters of timescale and injected current amplitude in the models. Also, a scheme of synchronization transition in the identical pair systems, in which two identical models mutually interact through the same model of synaptic response, was systematically explained by controlling these parameters. Then we found their common and unique synchronous behaviors.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ91-98
ページ数8
6443 LNCS
PART 1
DOI
出版ステータスPublished - 2010
外部発表はい
イベント17th International Conference on Neural Information Processing, ICONIP 2010 - Sydney, NSW
継続期間: 2010 11 222010 11 25

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 1
6443 LNCS
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other17th International Conference on Neural Information Processing, ICONIP 2010
CitySydney, NSW
Period10/11/2210/11/25

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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