Neuronal data analysis based on the empirical cumulative entropy

Authors:
Antonio Di Crescenzo;Maria Longobardi
Affiliations:
Dipartimento di Matematica, Università di Salerno, Fisciano, SA, Italy;Dipartimento di Matematica e Applicazioni, Università di Napoli Federico II, Napoli, Italy
Venue:
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
Year:
2011

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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.