A Second Order Transition in a Neuron Grid

R. Thieberger, A. Rabinovitch, A. Vainer, I. Aviram, Y. Biton, D. Braunstein
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Abstract

: We perform a simple calculation of a classical cellular automata model based on two types of cells (neurons), excitatory and inhibitory ones, randomly distributed in a 2D space. The only varying parameter is the percentage of inhibitory neurons. Even under such simple conditions, we obtain a transition between two states (which we conjecture to be normal and epileptic). The difference between these states are manifested both in the neuronal activity amplitude and in their frequency. The amplitude changes are shown to be similar to those obtained in a tonic-clonic seizure.
神经元网格中的二阶跃迁
我们对一个经典的细胞自动机模型进行了简单的计算,该模型基于两种类型的细胞(神经元),兴奋性和抑制性细胞,随机分布在二维空间中。唯一变化的参数是抑制性神经元的百分比。即使在这样简单的条件下,我们也能得到两种状态之间的过渡(我们推测是正常状态和癫痫状态)。这些状态之间的差异表现在神经元活动的幅度和频率上。振幅变化与强直阵挛发作时的变化相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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