Knowing one's place: a free-energy approach to pattern regulation.
Knowing one's place: a free-energy approach to pattern regulation.
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DOI：
10.1098/rsif.2014.1383
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发表时间：
2015-04-06
期刊：
影响因子：
--
通讯作者：
Pezzulo G
中科院分区：
文献类型：
--
作者：
Friston K;Levin M;Sengupta B;Pezzulo G
了解生物体如何在胚胎发生和再生过程中建立它们的形式代表了生物模式形成的主要知识空白。最近有人提出，形态发生可以理解的细胞信息处理和细胞群的模型形状的能力。在这里，我们提供了一个原则证明，自组装是一个新兴的属性的细胞，共享一个共同的（遗传和表观遗传）模型的有机体形式。这种行为是用变分自由能最小化来表述的，这类自由能最小化已经被用来解释神经科学中的行为和感知。简而言之，用变分自由能来描述热力学自由能的最小化，可以让我们把系统（的动力学）解释为推断其输入的原因，并采取行动解决这些原因的不确定性。这种新的观点协调迁移和分化的细胞表明遗传密码的解释参数化的生成模型预测信号的细胞在目标形态和表观遗传过程中，该模型的后续反转。这种理论表述可能会补充自下而上的策略，目前集中在分子途径与（建构主义）自上而下的方法，已证明自己在神经科学和控制论。
Understanding how organisms establish their form during embryogenesis and regeneration represents a major knowledge gap in biological pattern formation. It has been recently suggested that morphogenesis could be understood in terms of cellular information processing and the ability of cell groups to model shape. Here, we offer a proof of principle that self-assembly is an emergent property of cells that share a common (genetic and epigenetic) model of organismal form. This behaviour is formulated in terms of variational free-energy minimization—of the sort that has been used to explain action and perception in neuroscience. In brief, casting the minimization of thermodynamic free energy in terms of variational free energy allows one to interpret (the dynamics of) a system as inferring the causes of its inputs—and acting to resolve uncertainty about those causes. This novel perspective on the coordination of migration and differentiation of cells suggests an interpretation of genetic codes as parametrizing a generative model—predicting the signals sensed by cells in the target morphology—and epigenetic processes as the subsequent inversion of that model. This theoretical formulation may complement bottom-up strategies—that currently focus on molecular pathways—with (constructivist) top-down approaches that have proved themselves in neuroscience and cybernetics.
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影响因子：
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