Conceptual Modelling of Brain State Dynamics as Free Energy and Entropy-Based Processes

Plikynas, Darius; Sakalauskas, Leonidas; Raudys, Aistis

doi:10.15388/Informatica.2019.228

Informatica

Conceptual Modelling of Brain State Dynamics as Free Energy and Entropy-Based Processes

Volume 30, Issue 4 (2019), pp. 749–780

Darius Plikynas Leonidas Sakalauskas Aistis Raudys

https://doi.org/10.15388/Informatica.2019.228

Pub. online: 1 January 2019 Type: Research Article

Open Access

Received
1 March 2019

Accepted
1 November 2019

Published
1 January 2019

Abstract

Despite the mass of empirical data in neuroscience and plenty of interdisciplinary approaches in cognitive science, there are relatively few applicable theories of how the brain as a coherent system functions in terms of energy and entropy processes. Recently, a free energy principle has been portrayed as a possible way towards a unified brain theory. However, its capacity, using free energy and entropy, to unify different perspectives on brain function dynamics is yet to be established. This multidisciplinary study attempts to make sense of the free energy and entropy not only from the perspective of Helmholtz thermodynamic basic principles but also from the information theory framework. Based on the proposed conceptual framework, we constructed (i) four basic brain states (deep sleep, resting, active wakeful and thinking) as dynamic entropy and free energy processes and (ii) stylized a self-organizing mechanism of transitions between the basic brain states during a day period. Adaptive transitions between brain states represent homeostatic rhythms, which produce complex daily brain states dynamics. As a result, the proposed simulation model produces different self-organized circadian dynamics of brain states for different types of chronotypes, which corresponds with the empirical observations.

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Biographies

Plikynas Darius

darius.plikynas@mii.vu.lt

D. Plikynas is affiliated as a professor and senior research fellow at Vilnius University, Institute of Data Science and Digital Technologies. He has published 2 monographs, 8 chapters in books, over 40 publications and over 50 conference papers. His main field of interest includes but is not limited to the fundamental and applied research (modelling and simulation) of individual cognitive behaviour and distributed social processes. It covers interdisciplinary research domains in natural and social sciences, e.g. computational intelligence, agent based or multi-agent simulations, complexity research, artificial life, neuroscience, physics, information theory, social networks, distributed cognition, etc.

Sakalauskas Leonidas

L. Sakalauskas is affiliated as a prof. habil. dr. and chief research fellow at Vilnius University, Institute of Data Science and Digital Technologies. His field of research concerns optimization, data mining, big data analysis, modelling of sustainable development. He has published over 240 papers. He is the leader of the EU working group of stochastic programming, 15 PhD students have been guided by him.

Raudys Aistis

A. Raudys is affiliated as an assoc. prof. at Mathematics and Informatics Faculty in Vilnius University. He has been doing research related with artificial intelligence, agent-based systems, big data analysis, etc. He has published over 30 articles and over 40 conference papers.

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Keywords

free energy entropy brain states circadian rhythms homeostasis chronotypes

Funding

This research was funded by a grant (No. P-MIP-17-368) from the Research Council of Lithuania.

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