Presentation | 2004/6/18 A parameter estimation method for hidden Markov models with point process observations Shinsuke KOYAMA, Shigeru SHINOMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, we propose a spike train model called "rate-modulated gamma process", which is one of the hidden Markov models with point process observations. We also develop an EM algorithm to estimate model parameters, and test it on spike train data sets generated by numerical simulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | spike train model / hidden Markov model / point process / EM algorithm |
Paper # | NC2004-31 |
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Conference Information | |
Committee | NC |
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Conference Date | 2004/6/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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 parameter estimation method for hidden Markov models with point process observations |
Sub Title (in English) | |
Keyword(1) | spike train model |
Keyword(2) | hidden Markov model |
Keyword(3) | point process |
Keyword(4) | EM algorithm |
1st Author's Name | Shinsuke KOYAMA |
1st Author's Affiliation | Graduate School of Science, Kyoto University() |
2nd Author's Name | Shigeru SHINOMOTO |
2nd Author's Affiliation | Graduate School of Science, Kyoto University |
Date | 2004/6/18 |
Paper # | NC2004-31 |
Volume (vol) | vol.104 |
Number (no) | 140 |
Page | pp.pp.- |
#Pages | 4 |
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