Presentation 2011-03-10
Noise-induced Phenomena in Two Pulse-Coupled Resonate-and-Fire Neuron Models
Kazuki NAKADA, Keiji MIURA, Hatsuo HAYASHI,
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Abstract(in English) In this study, we address noise-induced phenomena in a system of two pulse-coupled resonate-and-fire neuron (RFN) models. The RFN model is a spiking neuron model that has second-order membrane dynamics with a firing threshold and exhibits subthreshold oscillation of membrane potential, resulting in the sensitivity to the timing of inputs. In the pulsed-coupled system, we investigated numerically bifurcation structure leading to complex behaviors such as burst synchronization and chaotic phenomena. In this paper, we report that a novel type of noise-induced phenomena occur when additive noise are given as a perturbation on the threshold in the system and show the specific features come from the bifurcation structure as piecewise smooth dynamical system.
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Keyword(in English) Resonate-and-Fire Neuron (RFN) Model / Noise-induced Phenomena / Piecewise-smooth Dynamical System
Paper # NLP2010-176
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Committee NLP
Conference Date 2011/3/3(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Noise-induced Phenomena in Two Pulse-Coupled Resonate-and-Fire Neuron Models
Sub Title (in English)
Keyword(1) Resonate-and-Fire Neuron (RFN) Model
Keyword(2) Noise-induced Phenomena
Keyword(3) Piecewise-smooth Dynamical System
1st Author's Name Kazuki NAKADA
1st Author's Affiliation Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology()
2nd Author's Name Keiji MIURA
2nd Author's Affiliation Department of Molecular Cellular and Biology, Harvard University:PRESTO JST
3rd Author's Name Hatsuo HAYASHI
3rd Author's Affiliation Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
Date 2011-03-10
Paper # NLP2010-176
Volume (vol) vol.110
Number (no) 465
Page pp.pp.-
#Pages 6
Date of Issue