Presentation | 2007-07-24 A Bayesian Analysis of the Time Dependent Irregularity of Neuronal Firing Takeaki SHIMOKAWA, Shigeru SHINOMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have recently proposed a coefficient of local variation, termed Lv, for measuring the irregularity of neuronal firing. Cortical neurons have been classified into several firing types according to the values of Lv. This could be performed by confirming that the temporal variation of Lv for each neuron is small compared to the variation among neurons. We examine the temporal change of the firing irregularity by means of a Bayesian analysis: In our new framework, the rate and irregularity of the spikes are assumed to be slowly changing in time, and are determined under the Bayes method, given the spike data. We are going to apply this Bayes method to experimentally recorded spike trains by focusing on the degree of irregularity fluctuation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural spike trains / irregularity / Bayes estimation / point process / gamma process |
Paper # | NC2007-26 |
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Committee | NC |
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Conference Date | 2007/7/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Bayesian Analysis of the Time Dependent Irregularity of Neuronal Firing |
Sub Title (in English) | |
Keyword(1) | neural spike trains |
Keyword(2) | irregularity |
Keyword(3) | Bayes estimation |
Keyword(4) | point process |
Keyword(5) | gamma process |
1st Author's Name | Takeaki SHIMOKAWA |
1st Author's Affiliation | Graduate School of Science, Kyoyo University() |
2nd Author's Name | Shigeru SHINOMOTO |
2nd Author's Affiliation | Graduate School of Science, Kyoyo University |
Date | 2007-07-24 |
Paper # | NC2007-26 |
Volume (vol) | vol.107 |
Number (no) | 157 |
Page | pp.pp.- |
#Pages | 4 |
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