An artificial synapse by superlattice-like phase-change material for low-power brain-inspired computing
Hu Qing, Dong Boyi, Wang Lun, Huang Enming, Tong Hao, He Yuhui, Xu Min, Miao Xiangshui
       

Applications of superlattice-like PCM synapses in ANN. (a) Schematic illustration of the input digits and the three-layer artificial neuron network with bias input. (b) The final network recognition rate of the software synapse and synapse data in Fig. 2 using two different update methods. (c) The output results of 10 output neurons under digital picture 6 inputs. The second output neuron has the largest output value, so its corresponding number ‘6’ is the recognition result of the network.