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;
2012-01-01
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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