Recurrent refractory neural field

S. Aityan
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Abstract

The author introduces and describes a recurrent neural field that is made up of refractory neurons. Every neutron of the field is chaotically connected to others with stochastically distributed bonds and shows the stochastical time varying threshold. The paper takes the location of the neuron in the space-time-firing state of the neuron field into account. The term neural field is used to describe a single layer intraconnected neural network. The input and output signals are distributed between clusters of closely connected neurons. A simple example shows good logical abilities of the refractory neural field. A three neuron refractory field is able to solve the exclusive OR problem.<>
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复发性难治性神经场
作者介绍并描述了一个由难治性神经元组成的循环神经场。场中的每个中子都以随机分布的键与其他中子混沌连接,并表现出随机时变阈值。本文考虑了神经元场在空时激发状态下神经元的位置。术语“神经场”用于描述单层内连接的神经网络。输入和输出信号分布在紧密连接的神经元簇之间。一个简单的例子说明了难解神经场良好的逻辑能力。一个三神经元的不相容场能够解决不相容或问题。
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