Biological time series segmentation using dynamic neural network model

Authors:
L. L. Beschastny;O. A. Mishulina
Affiliations:
National Research Nuclear University "MEPhI", Moscow, Moscow, Russia 115409;National Research Nuclear University "MEPhI", Moscow, Moscow, Russia 115409
Venue:
Optical Memory and Neural Networks
Year:
2011

Citing 3
Cited 0

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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.