On brain fluctuations and the challenges ahead |
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| Affiliation: | 1. Department of Physics and Astronomy, University of Rochester, Rochester, NY 14627, USA;2. Key Laboratory of Planetary Sciences, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008, China;3. Colorado Center for Astrodynamics Research, The University of Colorado Boulder, UCB 431, Boulder, CO 80309-0431, United States;4. Department of Computer Science, University of Rochester, Rochester, NY 14627, USA;5. Lunar and Planetary Laboratory, University of Arizona, Tucson, AZ, USA;6. Laboratoire Lagrange, Université Côte d’Azur, Observatoire de la Côte d’Azur,CNRS C.S. 34229, Nice Cedex 4, 06304, France |
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| Abstract: | The brain can be considered as a thermodynamic machine working out of equilibrium, crossed by a stationary (under normal conditions) flux of energy, that is dissipated through thermal fluctuations. The analogy with a fluid state suggests that long space–time correlations have to be present in such a machine to keep it in working conditions, thus making the brain effectively explore dynamical and statistical regimes characterized by scale-free properties. We argue that such a distinctive feature may emerge from an out-of-equilibrium thermodynamic approach and also from microscopic models (neural networks) with a suitable combination of phenomenological ingredients. |
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