Information Theory in Neuroscience

As the ultimate information processing device, the brain naturally lends itself to being studied with information theory. The application of information theory to neuroscience has spurred the development of principled theories of brain function, and has led to advances in the study of consciousness,...

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Bibliographische Detailangaben
Hauptverfasser:	Piasini, Eugenio, Panzeri, Stefano
Format:	Online
Sprache:	Englisch
Veröffentlicht:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Schlagworte:	QA1-939 Q1-390 synergy Gibbs measures categorical perception entorhinal cortex neural network perceived similarity graph theoretical analysis orderness navigation network eigen-entropy Ising model higher-order correlations discrimination information theory recursion goodness consciousness neuroscience feedforward networks spike train statistics decoding eigenvector centrality discrete Markov chains submodularity free-energy principle infomax principle neural information propagation integrated information mismatched decoding maximum entropy principle perceptual magnet graph theory internal model hypothesis channel capacity complex networks representation latching noise correlations independent component analysis mutual information decomposition connectome redundancy mutual information information entropy production unconscious inference hippocampus neural population coding spike-time precision neural coding maximum entropy neural code Potts model pulse-gating functional connectome integrated information theory minimum information partition brain network Queyranne’s algorithm principal component analysis bic Book Industry Communication::P Mathematics & science
Online-Zugang:	32597
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Information Theory in Neuroscience

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