Presentation | 2011-11-24 A resonance phenomenon of spontaneous firing rates in an auditory nerve fiber model with stochastic ion channels Parichat KUMSA, Hiroyuki MINO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Spontaneous spikes stand for the action potentials fired even without any stimulus in nervous systems. These are specified quantitatively by the rate of spikes, the count of action potentials per unit time in which the time intervals between them are characterized approximately by the exponential probability density function with a dead time (absolute refractory period). In this report it is investigated through computer simulations how the rate of spontaneous spikes affects information transmission of the spike trains in response to the innner hair cell (IHC) synaptic currents in an auditory nerve fiber (ANF) model. The IHC synaptic currents were modelded by a filtered inhomogeneous Poisson process modulated with sinusoidal functions, while the stochastic ion channel model was in-corporated into the ANF model with spiral ganglion. The results show that the information rates increased, reached a maximum, and then decreased as the rate of spontaneous spikes increased, implying a resonance phenomenon dependent on the rate of spontaneous spikes. In conclusion, this phenonenon similar to the regular stochastic resonance would be observed due to that spontaneous spikes may act as an origin of fluctuation or noise. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Stochastic resonance / Spike train information / Stochastic Hodgkin-Huxley model |
Paper # | MBE2011-62 |
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Committee | MBE |
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Conference Date | 2011/11/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | ME and Bio Cybernetics (MBE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A resonance phenomenon of spontaneous firing rates in an auditory nerve fiber model with stochastic ion channels |
Sub Title (in English) | |
Keyword(1) | Stochastic resonance |
Keyword(2) | Spike train information |
Keyword(3) | Stochastic Hodgkin-Huxley model |
1st Author's Name | Parichat KUMSA |
1st Author's Affiliation | College of Engineering, Kanto Gakuin University() |
2nd Author's Name | Hiroyuki MINO |
2nd Author's Affiliation | College of Engineering, Kanto Gakuin University |
Date | 2011-11-24 |
Paper # | MBE2011-62 |
Volume (vol) | vol.111 |
Number (no) | 314 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |