Presentation 2008-03-13
Phase Response Curve of Spike Response Model
Munenori IIDA, Toshiaki OMORI, Toru AONISHI, Masato OKADA,
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Abstract(in English) Phase response curve (PRC) is important to clarify the interaction between neurons, which show oscillatory activities, such as hippocampal CA3 pyramidal cells. A linear element and a higher-order nonlinear element exist together in observed PRC because the amplitude of the perturbation stimulus is finite in physiological experiment. It is necessary to separate a linear element and a higher-order nonlinear element of PRC clearly in order to understand the behavior of dynamical systems of the networks, which have strong interaction between neurons. In this study, we analytically obtained the PRC of spike response model, in order to clarify the relation among the electrophysiological response property of single neuron, the linear element, and the higher-order nonlinear element of the PRC. Therefore, we can estimate the linear element and higher-order nonlinear element of the PRC based on linear response in subthreshold membrane potential, using the PRC of spike response model.
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Keyword(in English) Phase Response Curve / Spike Response Model
Paper # NC2007-157
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Committee NC
Conference Date 2008/3/5(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Phase Response Curve of Spike Response Model
Sub Title (in English)
Keyword(1) Phase Response Curve
Keyword(2) Spike Response Model
1st Author's Name Munenori IIDA
1st Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo()
2nd Author's Name Toshiaki OMORI
2nd Author's Affiliation Japan Society for the Promotion of Science: Brain Science Institute, RIKEN
3rd Author's Name Toru AONISHI
3rd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology: Brain Science Institute, RIKEN
4th Author's Name Masato OKADA
4th Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo: Brain Science Institute, RIKEN
Date 2008-03-13
Paper # NC2007-157
Volume (vol) vol.107
Number (no) 542
Page pp.pp.-
#Pages 6
Date of Issue