Synchronous behavior can be responsible for the function or dysfunction of a neural network. To employ a memristor with threshold memductance as a bidirectional synapse, a memristive synapse-connected Chay twin-neuron network is constructed. This paper numerically presents the synchronous behavior for four representative firing activities in the memristive twin-neuron network by utilizing time-domain waveforms, synchronized transition states (STSs), and mean synchronization errors (MSEs). Indeed, the synchronous behaviors are truly related to the coupling strength and initial condition of the memristor. Besides, utilizing the powerful XC7Z020 FPGA, a digitally circuit-implemented electro-neuron and the memristive synapse-connected Chay twin-neuron network are made. Thereafter, the four representative firing activities and their STSs are experimentally captured to further confirm the numerical simulations.

中文翻译：

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忆阻突触连接Chay Twin-Neuron网络的同步行为和硬件实现

同步行为可能是神经网络的功能或功能失调的原因。为了将具有阈值导通的忆阻器用作双向突触，构建了忆阻突触连接的Chay双神经元网络。本文利用时域波形，同步跃迁状态（STS）和平均同步误差（MSE），以数值形式给出了忆阻双神经元网络中四个代表性点火活动的同步行为。实际上，同步行为确实与忆阻器的耦合强度和初始条件有关。此外，利用功能强大的XC7Z020 FPGA，制作了数字电路实现的电子神经元和忆阻突触连接的Chay双神经元网络。之后，