Infragranular layers lead information flow during slow oscillations according to information directionality indicators

DOI10.1007/s10827-015-0563-7zbMath1382.92035OpenAlexW2257614388WikidataQ47706019 ScholiaQ47706019MaRDI QIDQ1704907

M. V. Sanchez-Vives, N. Tort-Colet, Roberto A. Monetti, José María Amigó

Publication date: 13 March 2018

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-015-0563-7

zbMATH Keywords

cerebral cortextransfer entropyordinal patternsinformation processingthalamusLGNlocal field potentialslow oscillationscortical rhythmsinformation directionalitysymbolic transfer entropytranscript mutual informationtranscriptsup states

Mathematics Subject Classification ID

Neural biology (92C20) Measures of information, entropy (94A17)

Related Items (3)

Computing algebraic transfer entropy and coupling directions via transcripts ⋮ Detecting directional couplings from multivariate flows by the joint distance distribution ⋮ Causation and information flow with respect to relative entropy

Cites Work

• The equality of Kolmogorov-Sinai entropy and metric permutation entropy generalized
• Dimensional reduction of conditional algebraic multi-information via transcripts
• Permutation complexity in dynamical systems. Ordinal patterns, permutation entropy and all that
• Transcripts: An algebraic approach to coupled time series
• Estimation of Entropy and Mutual Information
• Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity
• Investigating Causal Relations by Econometric Models and Cross-spectral Methods
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