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Information Theory in Neuroscience
Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: [Erscheinungsort nicht ermittelbar] : MDPI - Multidisciplinary Digital Publishing Institute, 2019Beschreibung: 1 Online-Ressource (280 p.)ISBN:- 9783038976646
- 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
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