典型文献
Memristor-based multi-synaptic spiking neuron circuit for spiking neural network
文献摘要：
Spiking neural networks(SNNs)are widely used in many fields because they work closer to biological neurons.However,due to its computational complexity,many SNNs implementations are limited to computer programs.First,this paper proposes a multi-synaptic circuit(MSC)based on memristor,which realizes the multi-synapse connection between neurons and the multi-delay transmission of pulse signals.The synapse circuit participates in the calculation of the network while transmitting the pulse signal,and completes the complex calculations on the software with hardware.Secondly,a new spiking neuron circuit based on the leaky integrate-and-fire(LIF)model is designed in this paper.The amplitude and width of the pulse emitted by the spiking neuron circuit can be adjusted as required.The combination of spiking neuron circuit and MSC forms the multi-synaptic spiking neuron(MSSN).The MSSN was simulated in PSPICE and the expected result was obtained,which verified the feasibility of the circuit.Finally,a small SNN was designed based on the mathematical model of MSSN.After the SNN is trained and optimized,it obtains a good accuracy in the classification of the IRIS-dataset,which verifies the practicability of the design in the network.
文献关键词：
中图分类号：
作者姓名：
Wenwu Jiang;Jie Li;Hongbo Liu;Xicong Qian;Yuan Ge;Lidan Wang;Shukai Duan
作者机构：
College of Artificial Intelligence,Southwest University,Chongqing 400715,China;National&Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology,Chongqing 400715,China;Brain-inspired Computing and Intelligent Control of Chongqing Key Laboratory,Chongqing 400715,China;Chongqing Brain Science Collaborative Innovation Center,Chongqing 400715,China
文献出处：
引用格式：
[1]Wenwu Jiang;Jie Li;Hongbo Liu;Xicong Qian;Yuan Ge;Lidan Wang;Shukai Duan-.Memristor-based multi-synaptic spiking neuron circuit for spiking neural network)[J].中国物理B（英文版）,2022(04):252-260
A类：
B类：
Memristor,multi,synaptic,spiking,circuit,neural,Spiking,networks,SNNs,widely,used,many,fields,because,they,closer,biological,neurons,However,due,its,computational,complexity,implementations,limited,computer,programs,First,this,paper,proposes,MSC,memristor,which,realizes,synapse,connection,between,delay,transmission,pulse,signals,participates,while,transmitting,completes,calculations,software,hardware,Secondly,new,leaky,integrate,fire,LIF,model,designed,amplitude,width,emitted,by,can,adjusted,required,combination,forms,MSSN,was,simulated,PSPICE,expected,result,obtained,verified,feasibility,Finally,small,mathematical,After,trained,optimized,obtains,good,accuracy,classification,IRIS,dataset,verifies,practicability
AB值：
0.523334
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
