{"title":"用于人工神经网络的神经元和突触芯片","authors":"Jonathan Lansner, T. Lehmann","doi":"10.1109/ESSCIRC.1992.5468235","DOIUrl":null,"url":null,"abstract":"A cascadable, analog, CMOS chip set has been developed for hardware implementations of artificial neural networks (ANN's):I) a neuron chip containing an array of neurons with hyperbolic tangent activation functions and adjustable gains, and II) a synapse chip (or a matrix-vector multiplier) where the matrix is stored on-chip as differential voltages on capacitors. In principal any ANN configuration can be made using these chips. A neuron array of 4 neurons and a 4 × 4 matrix-vector multiplier has been fabricated in a standard 2.4 ¿m CMOS process for test purposes. The propagation time through the synapse and neuron chips is less than 4 ¿s and the weight matrix has a 10 bit resolution.","PeriodicalId":242379,"journal":{"name":"ESSCIRC '92: Eighteenth European Solid-State Circuits conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Neuron- and a Synapse Chip for Artificial Neural Networks\",\"authors\":\"Jonathan Lansner, T. Lehmann\",\"doi\":\"10.1109/ESSCIRC.1992.5468235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A cascadable, analog, CMOS chip set has been developed for hardware implementations of artificial neural networks (ANN's):I) a neuron chip containing an array of neurons with hyperbolic tangent activation functions and adjustable gains, and II) a synapse chip (or a matrix-vector multiplier) where the matrix is stored on-chip as differential voltages on capacitors. In principal any ANN configuration can be made using these chips. A neuron array of 4 neurons and a 4 × 4 matrix-vector multiplier has been fabricated in a standard 2.4 ¿m CMOS process for test purposes. The propagation time through the synapse and neuron chips is less than 4 ¿s and the weight matrix has a 10 bit resolution.\",\"PeriodicalId\":242379,\"journal\":{\"name\":\"ESSCIRC '92: Eighteenth European Solid-State Circuits conference\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ESSCIRC '92: Eighteenth European Solid-State Circuits conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESSCIRC.1992.5468235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESSCIRC '92: Eighteenth European Solid-State Circuits conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESSCIRC.1992.5468235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Neuron- and a Synapse Chip for Artificial Neural Networks
A cascadable, analog, CMOS chip set has been developed for hardware implementations of artificial neural networks (ANN's):I) a neuron chip containing an array of neurons with hyperbolic tangent activation functions and adjustable gains, and II) a synapse chip (or a matrix-vector multiplier) where the matrix is stored on-chip as differential voltages on capacitors. In principal any ANN configuration can be made using these chips. A neuron array of 4 neurons and a 4 × 4 matrix-vector multiplier has been fabricated in a standard 2.4 ¿m CMOS process for test purposes. The propagation time through the synapse and neuron chips is less than 4 ¿s and the weight matrix has a 10 bit resolution.