Evaluation of Analysis Methods on Neural Spike Trains using Stochastic Models

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  • FUJIWARA Kantaro
    東京大学生産技術研究所　情報・エレクトロニクス系部門
  • SUZUKI Hideyuki
    東京大学生産技術研究所　情報・エレクトロニクス系部門

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Other Title
  • 確率モデルを用いた神経スパイク時系列解析手法の評価
  • カクリツ モデル オ モチイタ シンケイ スパイク ジケイレツ カイセキ シュホウ ノ ヒョウカ

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Abstract

       Measurement of neuronal firing rates has been a standard methodology for characterizing properties of neural activities during experiments. On the other hand, modulation of other statistics, such as ones derived from distributions and patterns of inter-spike intervals, can be an important index for analysis of neuronal response and may provide insights into the neuronal codes. In this study, we propose an analysis method for measuring variabilities in multiple-trial spike data with a high time resolution. [This abstract is not included in the PDF]<br>

Journal

  • SEISAN KENKYU

    SEISAN KENKYU 61 (2), 122-124, 2009

    Institute of Industrial Science The University of Tokyo

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