The beneficial role of noise in the binary spike time dependent plasticity (STDP) learning rule, when implemented with memristors, is experimentally analyzed. The two memristor conductance states, which emulate the neuron synapse in neuromorphic architectures, can be better distinguished if a gaussian noise is added to the bias. The addition of noise allows to reach memristor conductances which are proportional to the overlap between pre- and post-synaptic pulses.

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This research was funded by the Spanish MCIN/AEI/10.13039/501100011033, Projects PID2019- 103869RB and TEC2017-90969-EXP. The Spanish MicroNanoFab ICTS is acknowledged for sample fabrication.

Peer Reviewed