{"title":"Dynamical digital silicon neurons","authors":"A. Cassidy, A. Andreou","doi":"10.1109/BIOCAS.2008.4696931","DOIUrl":null,"url":null,"abstract":"We present an array of dynamical digital silicon neurons implementing the Izhikevich neuron model. The FPGA based array consists of 32 physical neurons, each time multiplexing the state of 8 virtual neurons, for a total of 256 independent neurons. The neural array operates at 5,000 times faster than real time, performing over 20.48 GOPS (giga operations per second). It is intended for neural simulation acceleration, neural prostheses, and neuromorphic systems.","PeriodicalId":415200,"journal":{"name":"2008 IEEE Biomedical Circuits and Systems Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"68","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Biomedical Circuits and Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2008.4696931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 68
Abstract
We present an array of dynamical digital silicon neurons implementing the Izhikevich neuron model. The FPGA based array consists of 32 physical neurons, each time multiplexing the state of 8 virtual neurons, for a total of 256 independent neurons. The neural array operates at 5,000 times faster than real time, performing over 20.48 GOPS (giga operations per second). It is intended for neural simulation acceleration, neural prostheses, and neuromorphic systems.
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