Presentation 2009-07-14
Influence of Neuronal Refractory Period on Phase Response Curve
Munenori IIDA, Toshiaki OMORI, Toru AONISHI, Masato OKADA,
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Abstract(in English) It is necessary to elucidate the relation between neuronal dynamics and membrane response property to understand the dynamics of neural networks. Spike Response Model is an analytically tractable neuron model describing membrane property by kernel functions. The phase response curve (PRC), on the other hand, is one of useful tools to understand of neuronal dynamics. In our previous study, we analytically showed the relation between subthreshold membrane response property of a single neuron and the PRC. In recent experimental studies, it has been shown that the PRCs show the different shape depending on firing frequency. The firing frequency may influence the shape of a PRC due to the existence of refractory period regarding subthreshold membrane potential. In this study, we analytically derive the relation between the neuronal refractory period of a single neuron and the PRC of the SRM, and show the influence of neuronal refractory period on the PRC. Furthermore we estimate the kernel of the SRM from a conductance based model, and compare the PRCs estimated from the kernel with the PRCs obtained numerically.
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Keyword(in English) phase response curve / neuronal refractory period / spike response model / membrane potential
Paper # NLP2009-40,NC2009-33
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Committee NC
Conference Date 2009/7/6(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Influence of Neuronal Refractory Period on Phase Response Curve
Sub Title (in English)
Keyword(1) phase response curve
Keyword(2) neuronal refractory period
Keyword(3) spike response model
Keyword(4) membrane potential
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 Graduate School of Frontier Sciences, The University of Tokyo: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 2009-07-14
Paper # NLP2009-40,NC2009-33
Volume (vol) vol.109
Number (no) 125
Page pp.pp.-
#Pages 6
Date of Issue