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. © 2012 Springer-Verlag.
Cite
CITATION STYLE
APA
Di Crescenzo, A., & Longobardi, M. (2012). Neuronal data analysis based on the empirical cumulative entropy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6927 LNCS, pp. 72–79). https://doi.org/10.1007/978-3-642-27549-4_10
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