Abstract: Memristors with synaptic plasticity can act as changeable connection weights. To address the issue of no chaos in cyclic trineuron Hopfield neural network with resistive weights, a ...
Abstract: By integrating memristors into a Hopfield neural network (HNN), a diverse range of dynamical behavior can be generated, which has significant implications for modeling and biomimetic ...
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