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Applying Information Theory to Neuronal Networks: From Theory to Experiments.
Thijs I. Jung
Filippos Vogiatzian
Omri Har-Shemesh
Carlos P. Fitzsimons
Rick Quax
Published in:
Entropy (2014)
Keyphrases
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information theory
information theoretic
jensen shannon divergence
statistical physics
statistical learning
statistical mechanics
conditional entropy
shannon entropy
rate distortion theory
mutual information
kullback leibler divergence
mdl principle
machine learning
information geometry