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The Chaotic Netlet Map

机译:混沌Netlet地图

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摘要

The parametrically coupled map lattice (PCML) exhibits many interesting dynamical behaviors that are reminiscent of the adaptation and the learning of the neural network. In order for the PCML to be a model of the neural network, however, it is necessary to identify the biological counterpart of one-dimensional maps that constitute the PCML. One of the possible candidates is a netlet, a small population of randomly interconnected neurons, that was suggested to be a functional unit constituting the neural network. We studied the possibility of representing a netlet by a chaotic one-dimensional map and the result is the chaotic netlet map that we introduce in this paper.
机译:参数耦合地图晶格(PCML)表现出许多有趣的动力学行为,让人联想到神经网络的适应性和学习性。但是,为了使PCML成为神经网络的模型,有必要识别构成PCML的一维图的生物学对应物。可能的候选对象之一是netlet,它是一小群随机互连的神经元,被认为是构成神经网络的功能单元。我们研究了用一维混沌图表示网状图的可能性,结果就是本文介绍的混沌网状图。

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