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ORIGINAL RESEARCH article
Front. Netw. Physiol.
Sec. Networks of Dynamical Systems
Volume 5 - 2025 | doi: 10.3389/fnetp.2025.1539166
This article is part of the Research Topic Self-Organization of Complex Physiological Networks: Synergetic Principles and Applications — In Memory of Hermann Haken View all articles
Information Entropy Dynamics, Self-Organization and Cybernetical Neuroscience
Provisionally accepted- Institute for Problems of Mechanical Engineering, Saint Petersburg, Russia
In the paper a version of the speed-gradient evolution models for systems obeying maximum information entropy principle developed by H.Haken in his book of 1988 is proposed. An explicit relation specifying system dynamics for general linear constraints is established. Two versions of human brain entropy detailed balance breaking model are proposed. In addition, the contours of a new scientific field called {\it cybernetical neuroscience} dedicated to control of neural systems have been outlined.
Keywords: information, entropy, network, Speed-gradient, evolution, self-organization, Control, Network physiology
Received: 03 Dec 2024; Accepted: 19 Feb 2025.
Copyright: © 2025 Fradkov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Alexander Fradkov, Institute for Problems of Mechanical Engineering, Saint Petersburg, Russia
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