1. ANALYSIS OF MULTIDIMENSIONAL NEURAL ACTIVITY VIA CNN-UM.
- Author
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Gal, Viktor, Grun, Sonja, and Tetzlaff, Ronald
- Subjects
- *
MEDICAL equipment , *ELECTROPHYSIOLOGY , *NERVOUS system , *NEURAL physiology , *CELLS , *ALGORITHMS - Abstract
In this paper we show that the Cellular Nonlinear Network Universal Machine (CNN-UM) is an excellent tool for analyzing time series of multidimensional binary signals. The developed algorithm is dedicated to process electrophysiological multi-neuron recordings: our aim is to find specific multidimensional activity patterns, which may reflect higher order functional cell-assemblies. The analysis consists of two parts: first, the occurrences of different patterns are counted, then the statistical significance of each occurrence frequency is calculated separately. [ABSTRACT FROM AUTHOR]
- Published
- 2003
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