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 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.
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Keyword(in English) spike train model / hidden Markov model / point process / EM algorithm
Paper # NC2004-31
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Committee NC
Conference Date 2004/6/18(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) 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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