Transfer Matrix Method for Instantaneous Spike Rate Estimation
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概要
- 論文の詳細を見る
The spike timings of neurons are irregular and are considered to be a one-dimensional point process. The Bayesian approach is generally used to estimate the time-dependent firing rate function from sequences of spike timings. It can also be used to estimate the firing rate from only a single sequence of spikes. However, the rate function has too many degrees of freedom in general, so approximation techniques are often used to carry out the Bayesian estimation. We applied the transfer matrix method, which efficiently computes the exact marginal distribution, to the estimation of the firing rate and developed an algorithm that enables the exact results to be obtained for the Bayesian framework. Using this estimation method, we investigated how the mismatch of the prior hyperparameter value affects the marginal distribution and the firing rate estimation.
- （社）電子情報通信学会の論文
- 2009-07-01
著者
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Miura Keiji
Graduate School Of Frontier Sciences University Of Tokyo
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Miura Keiji
Jst
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OKADA MASATO
Graduate School of Frontier Sciences, The University of Tokyo
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WATANABE Kazuho
Graduate School of Information Science, Nara Institute of Science and Technology
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TANAKA Hiroyuki
Toshiba Corporation
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OKADA Masato
University of Tokyo
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Watanabe Kazuho
Graduate School Of Information Science Nara Institute Of Science And Technology
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Okada Masato
Division Of Transdisciplinary Of Sciences Graduate School Of Frontier Sciences The University Of Tok
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OKADA Masato
Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute:"Intelligent Cooperation and Control", PRESTO, JST, co RIKEN BSI:Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, the University of To
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