We propose the empirical cumulative entropy as a variability measure suitable to describe the information content in neuronal firing data. Some useful characteristics and an application to a real dataset are also discussed.
Neuronal data analysis based on the empirical cumulative entropy / DI CRESCENZO, Antonio; Longobardi, Maria. - STAMPA. - 6927:(2012), pp. 72-79. (Intervento presentato al convegno EUROCAST 2011 tenutosi a Las Palmas de Gran Canaria, Spain nel February 6-11, 2011) [10.1007/978-3-642-27549-4_10].
Neuronal data analysis based on the empirical cumulative entropy.
LONGOBARDI, MARIA
2012
Abstract
We propose the empirical cumulative entropy as a variability measure suitable to describe the information content in neuronal firing data. Some useful characteristics and an application to a real dataset are also discussed.File in questo prodotto:
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