N. Panwar, D. Kumar, N. Upadhyay, P. Arya, U. Ganguly, B. Rajendran
{"title":"Memristive synaptic plasticity in Pr0.7Ca0.3MnO3 RRAM by bio-mimetic programming","authors":"N. Panwar, D. Kumar, N. Upadhyay, P. Arya, U. Ganguly, B. Rajendran","doi":"10.1109/DRC.2014.6872334","DOIUrl":null,"url":null,"abstract":"In this paper, the authors have demonstrated various forms of timing dependent plasticity in PCMO based RRAM devices using very simple programming pulses leveraging its memristive characteristics. Thanks to the intrinsic rectifying nature of their devices in the ON state, they have also shown that our synapse circuit does not require a current-limiting bipolar diode to prevent parasitic programming. These devices thus can be integrated in cross-bar arrays to build neuromorphic systems capable of performing a wide variety of supervised and unsupervised learning tasks.","PeriodicalId":293780,"journal":{"name":"72nd Device Research Conference","volume":"232 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"72nd Device Research Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRC.2014.6872334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
In this paper, the authors have demonstrated various forms of timing dependent plasticity in PCMO based RRAM devices using very simple programming pulses leveraging its memristive characteristics. Thanks to the intrinsic rectifying nature of their devices in the ON state, they have also shown that our synapse circuit does not require a current-limiting bipolar diode to prevent parasitic programming. These devices thus can be integrated in cross-bar arrays to build neuromorphic systems capable of performing a wide variety of supervised and unsupervised learning tasks.