Memristive Spike- Timing-Dependent Plasticity

We implement in simulation and hardware the Spike- Timing-Dependent Plasticity (STDP) rule that uses Fitzhugh-Nagumo neuron-like generators as spiking neurons and memristive device as a synapse. Weight functions in dependence of spikes delays are measured and fitted by mathematical functions suitable for designing memristive learning rules in scalabel spiking neural networks.