TY  - GEN
AU  - Piasini,Eugenio
AU  - Panzeri,Stefano
TI  - Information Theory in Neuroscience
SN  - books978-3-03897-665-3
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - synergy
KW  - Gibbs measures
KW  - categorical perception
KW  - entorhinal cortex
KW  - neural network
KW  - perceived similarity
KW  - graph theoretical analysis
KW  - orderness
KW  - navigation
KW  - network eigen-entropy
KW  - Ising model
KW  - higher-order correlations
KW  - discrimination
KW  - information theory
KW  - recursion
KW  - goodness
KW  - consciousness
KW  - neuroscience
KW  - feedforward networks
KW  - spike train statistics
KW  - decoding
KW  - eigenvector centrality
KW  - discrete Markov chains
KW  - submodularity
KW  - free-energy principle
KW  - infomax principle
KW  - neural information propagation
KW  - integrated information
KW  - mismatched decoding
KW  - maximum entropy principle
KW  - perceptual magnet
KW  - graph theory
KW  - internal model hypothesis
KW  - channel capacity
KW  - complex networks
KW  - representation
KW  - latching
KW  - noise correlations
KW  - independent component analysis
KW  - mutual information decomposition
KW  - connectome
KW  - redundancy
KW  - mutual information
KW  - information entropy production
KW  - unconscious inference
KW  - hippocampus
KW  - neural population coding
KW  - spike-time precision
KW  - neural coding
KW  - maximum entropy
KW  - neural code
KW  - Potts model
KW  - pulse-gating
KW  - functional connectome
KW  - integrated information theory
KW  - minimum information partition
KW  - brain network
KW  - Queyranne's algorithm
KW  - principal component analysis
N1  - Open Access
N2  - 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, as well as to the development of analytical techniques to crack the neural code-that is, to unveil the language used by neurons to encode and process information. In particular, advances in experimental techniques enabling the precise recording and manipulation of neural activity on a large scale now enable for the first time the precise formulation and the quantitative testing of hypotheses about how the brain encodes and transmits the information used for specific functions across areas. This Special Issue presents twelve original contributions on novel approaches in neuroscience using information theory, and on the development of new information theoretic results inspired by problems in neuroscience
UR  - https://mdpi.com/books/pdfview/book/1171
UR  - https://directory.doabooks.org/handle/20.500.12854/50225
ER  -