|Title||STDP learning rule based on memristor with STDP property|
|Publication Type||Conference Paper|
|Year of Publication||2014|
|Authors||L Chen, C Li, T Huang, X He, H Li, and Y Chen|
|Conference Name||Proceedings of the International Joint Conference on Neural Networks|
Spike-timing-dependent plasticity (STDP) learning ability has been observed in physical memristors, but whether the STDP is caused by the neuron or the memristor is unclear. In this paper, we proved the STDP property in the model for both symmetric and asymmetric memristor. We also employed the symmetric/asymmetric memristors with STDP property and the simplified neurons to perform the STDP learning ability. At last, the sequence learning experiment of the memritive neural network (MNN) with the symmetric memristor synapse further verifies the STDP learning ability of the memristor.