Catálogo de publicaciones - libros
Título de Acceso Abierto
Information Theory in Neuroscience
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
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
Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
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No requiere | Directory of Open access Books |
Información
Tipo de recurso:
libros
ISBN electrónico
978-3-03897-665-3
País de edición
Suiza