忆阻耦合异构忆阻细胞神经网络的多稳态与相位同步研究  

Multistable State and Phase Synchronization of Memristor-coupled Heterogeneous Memristive Cellular Neural Network

作　　者：武花干[1] 边逸轩 陈墨[1] 徐权[1] WU Huagan;BIAN Yixuan;CHEN Mo;XU Quan(School of Microelectronics and Control Engineering,Changzhou University,Changzhou 213164,China)

机构地区：[1]常州大学微电子与控制工程学院,常州213164

出　　处：《电子与信息学报》2024年第9期3818-3826,共9页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(62371073,12172066,52277001);江苏省研究生创新项目(KYCX23_3181)。

摘　　要：忆阻具有天然的可塑性,可实现与生物神经元和突触所具有的相似或相同机制的硅基神经元和纳米突触。将忆阻用作突触耦合两个异构的忆阻细胞神经网络,该文构建了一个忆阻耦合异构忆阻细胞神经网络。该耦合网络含有一个与忆阻突触初值条件和子网初值条件相关的空间平衡点集,可呈现出复杂的动力学演化。利用数值仿真方法,揭示了耦合网络依赖于初值条件而存在的稳定点、周期、混沌、超混沌以及无界振荡等多稳态行为。此外,在忆阻突触的调控下,两个异构子网可达成相位同步。最后,基于STM32单片机硬件平台完成了电路实验验证。Memristors have a natural plasticity that enables silicon-based neurons and nano-synapses with similar or the same mechanisms as biological neurons and synapses.Using a memristor as a synapse to couple two heterogeneous memristive cellular neural networks,a memristor-coupled heterogeneous cellular neural network is constructed in this paper.The coupled network contains a space equilibrium set related to the initial value conditions of memristor synapse and subnets,which can exhibit complex dynamic evolution.The multistable behaviors of the coupling network,such as stable point,period,chaos,hyperchaos and unbounded oscillation,which depend on the initial value conditions,are revealed by numerical simulation method.In addition,under the control of memristor synapse,two heterogeneous subnets can achieve phase synchronization.Finally,the experimental verification of the circuit is completed based on STM32 MCU hardware platform.

关 键 词：忆阻 细胞神经网络 异构网络 多稳态 相位同步 

分 类 号：TN713.4[电子电信—电路与系统]