P. Lorenzi, V. Sucre, G. Romano, R. Rao, F. Irrera
{"title":"Memristor based neuromorphic circuit for visual pattern recognition","authors":"P. Lorenzi, V. Sucre, G. Romano, R. Rao, F. Irrera","doi":"10.1109/MEMRISYS.2015.7378387","DOIUrl":null,"url":null,"abstract":"In this work a simple network composed by a first 25 sensory neurons layer and a second 10 output neuron layer connected by 250 memristor synapses is proposed. The system was simulated in PSPICE in order to recognize 5X5 pixel binary images.","PeriodicalId":159041,"journal":{"name":"2015 International Conference on Memristive Systems (MEMRISYS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Memristive Systems (MEMRISYS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMRISYS.2015.7378387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this work a simple network composed by a first 25 sensory neurons layer and a second 10 output neuron layer connected by 250 memristor synapses is proposed. The system was simulated in PSPICE in order to recognize 5X5 pixel binary images.