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A discrete memristor with synaptic plasticity characteristics is designed and incorporated into a two-dimensional discrete Hopfield neural network to establish a discrete memristive Hopfield neural network (DMHNN).
A novel second-order memristor is designed, the nonvolatile nature of the memristor is verified, and the key dynamical behaviors are reproduced through circuit simulation and a DSP-based hardware experimental platform, realizing the systematic research flow from theoretical modeling, numerical simulation to circuit imp...
These findings provide theoretical and experimental support for employing memristive single neuron coupling in the field of information encryption by identifying three novel dynamical features of the LAM-Aihara map: triangular waveform bursting firings, centrosymmetric coexisting attractors under different initial cond...
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