A mean field approach to model levels of consciousness from EEG recordings

DOI10.1088/1742-5468/ababfbzbMath1459.92049arXiv2002.02425OpenAlexW3082134247MaRDI QIDQ5856898

D. Marinazzo, Marco Alberto Javarone, Olivia Gosseries, Steven Laureys, Srivas Chennu, Vincent Bonhomme, Quentin Noirhomme

Publication date: 30 March 2021

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.02425

zbMATH Keywords

computational neuroscienceclassical phase transitions

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20) Disordered systems (random Ising models, random Schrödinger operators, etc.) in equilibrium statistical mechanics (82B44)

Related Items (1)

Complexity is a matter of distance

Cites Work

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• Consciousness as a state of matter
• The 1996 Wald memorial lectures. Stochastic models of interacting systems
• Statistical physics of human cooperation
• Life: An introduction to complex systems biology
• A mechanical approach to mean field spin models
• Statistical Physics and Computational Methods for Evolutionary Game Theory
• Curie–Weiss magnet—a simple model of phase transition

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