STDP Learning Rule Based on Memristor with STDP Property Conference Paper uri icon

abstract

  • 2014 IEEE. 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.

name of conference

  • 2014 International Joint Conference on Neural Networks (IJCNN)

published proceedings

  • PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

author list (cited authors)

  • Chen, L., Li, C., Huang, T., He, X., Li, H., & Chen, Y.

citation count

  • 5

complete list of authors

  • Chen, Ling||Li, Chuandong||Huang, Tingwen||He, Xing||Li, Hai||Chen, Yiran

publication date

  • July 2014