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Frontiers in Analysis and Probability : In the Spirit of the Strasbourg-Zürich Meetings / Nalini Anantharaman, Ashkan Nikeghbali, Michael Th. Rassias editors
Frontiers in Analysis and Probability : In the Spirit of the Strasbourg-Zürich Meetings / Nalini Anantharaman, Ashkan Nikeghbali, Michael Th. Rassias editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica vii, 449 p. : ill. ; 24 cm
Soggetto topico 58-XX - Global analysis, analysis on manifolds [MSC 2020]
35-XX - Partial differential equations [MSC 2020]
53-XX - Differential geometry [MSC 2020]
81-XX - Quantum theory [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
Soggetto non controllato Anderson localization
Dynamical systems
Ergodic theory
Gibbs measures
Quantum Chaos
Quantum Theory
Random Walks
Random matrices
Schrödinger equations
Spectral Theory
Stochastic processes
Time-Dependent Hartree-Fock-Bogoliubov Equations
Zeta functions
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0249186
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Frontiers in Analysis and Probability : In the Spirit of the Strasbourg-Zürich Meetings / Nalini Anantharaman, Ashkan Nikeghbali, Michael Th. Rassias editors
Frontiers in Analysis and Probability : In the Spirit of the Strasbourg-Zürich Meetings / Nalini Anantharaman, Ashkan Nikeghbali, Michael Th. Rassias editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica vii, 449 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
35-XX - Partial differential equations [MSC 2020]
53-XX - Differential geometry [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020]
81-XX - Quantum theory [MSC 2020]
Soggetto non controllato Anderson localization
Dynamical systems
Ergodic theory
Gibbs measures
Quantum Chaos
Quantum Theory
Random Walks
Random matrices
Schrödinger equations
Spectral Theory
Stochastic processes
Time-Dependent Hartree-Fock-Bogoliubov Equations
Zeta functions
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00249186
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Information Theory in Neuroscience
Information Theory in Neuroscience
Autore Piasini Eugenio
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (280 p.)
Soggetto non controllato 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
ISBN 3-03897-665-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346856603321
Piasini Eugenio  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui