Information Theory in Neuroscience

Information Theory in Neuroscience

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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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Bibliographic Details
Main Author: Piasini, Eugenio (auth)
Other Authors: Panzeri, Stefano (auth)
Format: Book Chapter
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:
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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