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具有自适应行为的脉冲耦合化学振荡器分层网络:化学神经计算机

Hierarchical network of pulse coupled chemical oscillators with adaptive behavior: Chemical neurocomputer.

作者信息

Vanag Vladimir K

机构信息

Center for Nonlinear Chemistry, Immanuel Kant Baltic Federal University, 14 A. Nevskogo Str., Kaliningrad 236041, Russia.

出版信息

Chaos. 2019 Aug;29(8):083104. doi: 10.1063/1.5099979.

Abstract

We consider theoretically a network of pulse coupled oscillators with time delays. Each oscillator is described by the Oregonator-like model for the Belousov-Zhabotinsky (BZ) reaction. Different groups of oscillators constitute five functional units: (1) a central pattern generator (CPG), (2) a "reader" unit that can identify dynamical modes of the CPG, (3) an antenna (A) unit that receives external signals and responds on them by generating different dynamical modes, (4) another reader unit for identification of the dynamical modes in the A unit, and (5) a decision making unit that switches the current dynamical mode of the CPG to the mode that is similar to the current mode in the A unit. We call this network a chemical neurocomputer, since chemical BZ reaction occurs in each micro-oscillator, while pulse connectivity of these cells is inspired by the brain.

摘要

我们从理论上考虑了一个具有时间延迟的脉冲耦合振荡器网络。每个振荡器由用于Belousov-Zhabotinsky(BZ)反应的类俄勒冈振子模型描述。不同组的振荡器构成五个功能单元:(1)一个中央模式发生器(CPG),(2)一个能够识别CPG动态模式的“读取器”单元,(3)一个天线(A)单元,该单元接收外部信号并通过生成不同的动态模式对其作出响应,(4)另一个用于识别A单元中动态模式的读取器单元,以及(5)一个决策单元,该单元将CPG的当前动态模式切换为与A单元中当前模式相似的模式。我们将这个网络称为化学神经计算机,因为在每个微振荡器中都会发生化学BZ反应,而这些细胞的脉冲连接性则受到大脑的启发。

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