Nonlinear effect on phase response curve of neuron model

Munenori Iida, Toshiaki Omori, Toru Aonishi, Masato Okada

研究成果: Conference contribution

抄録

One of the more useful tools for better understanding population dynamics is the phase response curve (PRC). Recent physiological experiments on the PRCs using real neurons showed that different shapes of the PRCs are generated depending on the perturbation, which has a finite amplitude. In order to clarify the origin of the nonlinear response of the PRCs, we analytically derived the PRCs from single neurons by using a spike response model. We clarified the relation between the subthreshold membrane response property and the PRC. Furthermore, we performed numerical simulations using the Hodgkin-Huxley model and their results have shown that a nonlinear change of the PRCs is generated. Our theory and numerical results imply that the nonlinear change of PRCs is due to the nonlinear element in spike time shift of firing neurons induced by the finite amplitude of the perturbation stimuli.

本文言語English
ホスト出版物のタイトルNeural Information Processing - 18th International Conference, ICONIP 2011, Proceedings
ページ240-250
ページ数11
PART 3
DOI
出版ステータスPublished - 2011
イベント18th International Conference on Neural Information Processing, ICONIP 2011 - Shanghai, China
継続期間: 2011 11 132011 11 17

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 3
7064 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other18th International Conference on Neural Information Processing, ICONIP 2011
CountryChina
CityShanghai
Period11/11/1311/11/17

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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