Proposed cellular automaton model for a neuronal patch with a thresholded linear activation function
Proposed cellular automaton model for a neuronal patch with a thresholded linear activation function
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提出的具有阈值线性激活函数的神经元贴片细胞自动机模型
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发表时间：
2018
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通讯作者：
Johnrob Y. Bantang
中科院分区：
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作者：
R. Ramos;Johnrob Y. Bantang
Hodgkin-Huxley和我们目前的大多数神经元模型都是由微分方程组成的，用来解释具有电突触、化学突触或两者兼而有之的单个神经元的行为。为了对神经元网络进行建模，我们需要耦合这些微分方程，从而增加要求解的方程的数量。这将是很难做到的手动，甚至，受到限制的计算能力，今天的计算机，当完成数字。在本文中，我们提出了一个模型的神经元网络（N = 10 000）放置在一个100 × 100的格子，与线性激活函数的元胞自动机的规则。
Hodgkin-Huxley, and most of our current neuronal models consist of differential equations to explain the behavior of a single neuron with an electrical synapse, a chemical synapse, or both. In order to model a network of neurons, we need to couple these differential equations, and consequently, increasing the number of equations to solve. This will be difficult to do manually, and even, subjected to the limits of computing power of today’s computers, when done numerically. In this paper, we propose a model for a network of neurons (N = 10 000) placed in a 100 x 100 lattice, with a linear activation function as the rule of the cellular automaton.