信息熵动力学、自组织与控制论神经科学。

IF 3
Frontiers in network physiology Pub Date : 2025-03-21 eCollection Date: 2025-01-01 DOI:10.3389/fnetp.2025.1539166
Alexander Fradkov
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引用次数: 0

摘要

本文提出了H. Haken在1988年出版的书中提出的遵循最大信息熵原理的系统的速度梯度演化模型的一个版本。建立了一般线性约束下系统动力学的显式关系。提出了两种版本的人脑熵详细失衡模型。此外,一个名为控制论神经科学的致力于控制神经系统的新科学领域的轮廓已经被勾画出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information entropy dynamics, self-organization, and cybernetical neuroscience.

A version of the speed-gradient evolution models for systems obeying the maximum information entropy principle developed by H. Haken in his book of 1988 is proposed in this article. An explicit relation specifying system dynamics for general linear constraints is established. Two versions of the human brain entropy detailed balance-breaking model are proposed. In addition, the contours of a new scientific field called cybernetical neuroscience dedicated to the control of neural systems have been outlined.

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