Figure 4.

Learning with Neuron Models Matched to Memristor Update Rules

MNIST classification task in a 784-100-10 network, using three different models: matched neuron model with memristor update rule (blue, Equation 8), sigmoidal neuron model with the memristor update rule (red, Equation 7), and standard artificial neural network with exact gradient BP as baseline (black). The sigmoidal neuron resulting from ignoring the non-linearity of the memristor performs poorly compared with the baseline.