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In particular, many researchers have investigated the application of entropy measures to graphs, see [1] [4].
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Ecological applications of entropy measures have been primarily focused on structural and functional complexity of systems and less attention has been paid to temporal evolution and dynamics.
This decrease of entropy measures was more evident during REM sleep.
An interesting aspect would be to compare the performances of different entropy measures.
Arnand et al. [1] provide a comprehensive review of Shannon entropy measures applied to network ensembles.
Figure 1 depicts the interaction map of all genes, based on entropy measures between individual variables.
Entropy measures the quantity of information [1].
Second-order entropy measures the level of organization at the two-syllable sequence level.
First, the methodology for application of the entropy theory is outlined, since entropy is needed in all three ways.
Noise entropy measures the average variability of neural responses to a particular odor.
Finally, we introduce and include in the summary a novel application of statistical entropy to provide a new heuristic measure of the number of interpretable components.
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