Abstract
We study the energy consumption of the brain in the framework of the dissipative many-body model and the generalized Carnot cycle model. We focus our attention on the expenditure of energy to facilitate the emergence of patterns and dissipation of so-called dark energy in knowledge retrieval. The general picture of the process, by which brains construct knowledge from information and how the generalized Carnot cycle describes it, is presented in terms of Bose-Einstein condensate in the system ground state. We postulate that the extremely high density of energy sequestered briefly in cortical activity patterns can account for the vividness, richness of associations, and emotional intensity of memories recalled by stimuli.
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Capolupo, A., Freeman, W.J., Vitiello, G. (2015). The Dissipative Many-Body Model and Phase Transitions in Brain Nonlinear Dynamics. In: Liljenström, H. (eds) Advances in Cognitive Neurodynamics (IV). Advances in Cognitive Neurodynamics. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9548-7_16
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DOI: https://doi.org/10.1007/978-94-017-9548-7_16
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