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