Method and system for realizing competitive learning mechanism of spiking neural network based on memristor

• Main Authors: WANG LEI, LI SHIMING, DING DONG, TIAN SHUO, CHEN XIAOFAN, ZHAO ZHENYU, QU LIANHUA, FENG QUANYOU, KANG ZIYANG, XU WEIXIA
• Format: Patent
• Language: Chinese; English
• Published: 03.11.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention discloses a method and system for realizing a competitive learning mechanism of a spiking neural network based on a memristor, and the method comprises the steps: enabling an activated neuron of a learning layer in the spiking neural network to receive a pulse from an input layer, and carrying out the learning under an STDP rule; the method further comprises a step of performing lateral suppression through a synapse realized based on a memristor and a suppression-type neuron connected with one or more activation-type neurons: if the suppression-type neuron is activated by currentfrom the synapse, enabling the suppression-type neuron to send a suppression-type pulse to the connected activation-type neuron through the synapse so as to realize lateral suppression. According tothe invention, the memristor is used as a synapse to realize a transverse suppression and balance mechanism, the expandability of the network can be improved, and the inherent device advantages of thememristor are effectively