Events5th International Electronic Conference on Entropy and Its Applications
Published
This submission belongs to the session E. Biological Systems of the event 5th International Electronic Conference on Entropy and Its Applications
Published date
18 Nov, 2019
Citation
Alejandro Chinea Manrique de Lara, Interpreting the High Energy Consumption of the Brain at Rest, in Proceedings of 5th International Electronic Conference on Entropy and Its Applications, 18 November–30 November 2019, MDPI: Basel, Switzerland, doi: 10.3390/ecea-5-06694
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Interpreting the High Energy Consumption of the Brain at Rest

1. Departamento de Física Fundamental, Facultad de Ciencias de la UNED, Paseo Senda del Rey No.9, 28040 Madrid, SPAIN, Spain
Abstract

The notion that the brain has a resting state mode of functioning has received increasing attention in recent years. The idea derives from experimental observations that showed a relatively spatially and temporally uniform high level of neuronal activity when no explicit task was being performed. Surprisingly, the total energy consumption supporting neuronal firing in this conscious awake baseline state is orders of magnitude larger than the energy changes during stimulation. This paper presents a novel and counter-intuitive explanation of the high energy consumption of the brain at rest obtained using the recently developed intelligence and embodiment hypothesis. This hypothesis is based on evolutionary neuroscience and postulates the existence of a common information-processing principle associated with nervous systems that evolved naturally and serves as the foundation from which intelligence can emerge and to the efficiency of brain's computations. The high energy consumption of the brain at rest is shown to be related to the most probable state of an equilibrium statistical mechanics model aimed at capturing the behavior of a system constrained by power consumption and evolutionary designed to minimize metabolic demands.

Keywords
baseline brain energy
metabolism
generating functions
embodied intelligence
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