Biological time series segmentation using dynamic neural network model

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.