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Biological time series segmentation using dynamic neural network model

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Abstract

The problem of automatic segmentation of the laboratory animal behavior into behavioral acts is considered as a problem of multidimensional time series segmentation. Formal statement of the problem with use of variables characterizing reliability of accepted decisions is expounded. A neural model based on NARX-networks has been developed for automatic segmentation of multidimensional time series. Experimental results received with use of biological test data are discussed.

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Authors and Affiliations

  1. National Research Nuclear University “MEPhI”, Moscow, Kashirskoe Shosse 31, Moscow, 115409, Russia

    L. L. Beschastny & O. A. Mishulina

Authors
  1. L. L. Beschastny
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  2. O. A. Mishulina
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Corresponding author

Correspondence to L. L. Beschastny.

Additional information

This research was partially supported by the Federal Target Program “Scientific and Scientific-Pedagogical Personnel of the Innovative Russia” in 2009–2013, grants NRNU MEPhI No. P264, No. P1052, and No. P1295.

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Beschastny, L.L., Mishulina, O.A. Biological time series segmentation using dynamic neural network model. Opt. Mem. Neural Networks 20, 139–144 (2011). https://doi.org/10.3103/S1060992X11020068

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  • DOI: https://doi.org/10.3103/S1060992X11020068

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