Electroforming-Free Bifeo3 Switches For Neuromorphic Computing Spike-Timing Dependent Plasticity (Stdp) And Cycle-Number Dependent Plasticity (Cndp)

Memristor technology will strongly influence the architecture of computer systems in the near future. Its potential in several application domains, e.g. in-memory information processing, neuromorphic computing, hardware cryptography, and machine learning makes it more than ever necessary to understand the underlying resistive switching mechanisms and to look for electroforming-free memristors. We have developed an electroforming-free bipolar memristor, namely BiFeO3, which emulates spike-timing dependent plasticity. Neuromorphic engineering takes advantage of artificial neurons and artificial synapses to mimic the most complicated human attributes, learning and unlearning. Here we discuss how BiFeO3 memristors as artificial synapse and artificial neurons are used to implement both spike-timing dependent plasticity and cycle number dependent plasticity.