Optimal Tuning of Memristor Conductance Variation in Spiking Neural Networks for Online Unsupervised Learning

In unsupervised learning (UL)-oriented spiking neural network (SNN) designs, the initial conductance variation of the synapses is usually necessary, with which temporally differentiated responses of the output neurons can be achieved given the same input patterns, in order to implement the important...

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