Transfer Matrix Method for Instantaneous Spike Rate Estimation

• WATANABE Kazuho

  Graduate School of Information Science, Nara Institute of Science and Technology

• TANAKA Hiroyuki

  Toshiba Corporation

• MIURA Keiji

  JST, Harvard University and RIKEN

• OKADA Masato

  University of Tokyo and RIKEN

抄録

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.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E92-D (7), 1362-1368, 2009

  一般社団法人 電子情報通信学会

キーワード

• spike rate estimation
• Bayesian estimation
• transfer matrix method
• smoothness prior

詳細情報

• CRID: 1390001204377502976
• NII論文ID: 10026810113
• NII書誌ID: AA10826272
• DOI: 10.1587/transinf.e92.d.1362
• ISSN: 17451361
• ISSN: 09168532
• Web Site: http://www.jstage.jst.go.jp/article/transinf/E92.D/7/E92.D_7_1362/_pdf
• 本文言語コード: en
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