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

Yasuomi D. Sato, Keiji Okumura, Masatoshi Shiino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages91-98
Number of pages8
Volume6443 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event17th International Conference on Neural Information Processing, ICONIP 2010 - Sydney, NSW
Duration: 2010 Nov 222010 Nov 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6443 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Synchronization
Time Scales
Spike
Curve
FitzHugh-Nagumo
Network Dynamics
Neuron Model
Dynamic Characteristics
Model Analysis
Two Parameters
Model
Neurons
Influence

Keywords

  • Deterministic Phase Reduction
  • Phase Response Curves
  • Single Spike Neuron Models
  • Time Scale Controlling

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Sato, Y. D., Okumura, K., & Shiino, M. (2010). Model studies on time-scaled phase response curves and synchronization transition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 6443 LNCS, pp. 91-98). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6443 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-17537-4_12

Model studies on time-scaled phase response curves and synchronization transition. / Sato, Yasuomi D.; Okumura, Keiji; Shiino, Masatoshi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6443 LNCS PART 1. ed. 2010. p. 91-98 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6443 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sato, YD, Okumura, K & Shiino, M 2010, Model studies on time-scaled phase response curves and synchronization transition. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 6443 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6443 LNCS, pp. 91-98, 17th International Conference on Neural Information Processing, ICONIP 2010, Sydney, NSW, 10/11/22. https://doi.org/10.1007/978-3-642-17537-4_12
Sato YD, Okumura K, Shiino M. Model studies on time-scaled phase response curves and synchronization transition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 6443 LNCS. 2010. p. 91-98. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-17537-4_12
Sato, Yasuomi D. ; Okumura, Keiji ; Shiino, Masatoshi. / Model studies on time-scaled phase response curves and synchronization transition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6443 LNCS PART 1. ed. 2010. pp. 91-98 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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