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How the Relationship Between Information Theory and Thermodynamics Can Contribute to Explaining Brain and Cognitive Activity: An Integrative Approach

机译:信息理论与热力学之间的关系如何促成解释大脑和认知活动:一种综合方法

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The brain is both a thermodynamic system and an information processor. Cognition is described well in terms of information-based models and brain activity as a physical process, is accurately addressed via a thermodynamic approach. A connection between information theory and thermodynamics in neuroscience is currently lacking in the literature. The aim of this paper is to propose an integrative approach regarding information and energy as two related magnitudes in the brain, and to discuss the main connections between information theory and thermodynamics that may be helpful for understanding brain activity. In this sense, the link between both approaches is based on the concepts of entropy and negentropy, the Boltzmann formula, the Landauer's Principle and the energetic cost for the observation of information proved by Szilard. This set of connections enables us to show that information and energy are two strongly related and interchangeable magnitudes in the brain with the possibility of making this relationship explicit, as well as the possibility of translating the quantities from one to the other. This view also contributes to a better understanding of the fundamental relationship between cognition and physical brain activity. Finally, we propose new conjectures and future lines to work concerning the study of spontaneity of the brain activity from this integrative perspective.
机译:大脑既是一个热力学系统和信息处理器。认知是在基于信息的模型和大脑活动的物理过程而言很好的描述,精确地经由热力学方法解决。在神经科学信息理论和热力学之间的连接是目前所缺乏文献。本文的目的是提出关于信息和能量大脑中的两个相关的幅度的综合方法,并探讨信息理论和热力学之间的主要连接可能对理解大脑活动有帮助。在这个意义上,二者之间的链接方法之一是基于熵和负熵的概念,玻尔兹曼公式,兰道尔的原理及信息的观测高能成本证明由西拉德。这组连接,使我们能够表明,信息和能量都在做这种关系明确的可能性大脑两个强相关的,可互换的幅度,以及从一个到另一个翻译量的可能性。这一观点也有助于更好地了解认知和身体的大脑活动之间的基本关系。最后,我们提出了关于大脑活动的自发性,从这个综合的角度研究新的猜测和未来的线工作。

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