{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T03:50:39Z","timestamp":1725767439012},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T00:00:00Z","timestamp":1488326400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T00:00:00Z","timestamp":1488326400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.23919\/date.2017.7927094","type":"proceedings-article","created":{"date-parts":[[2017,5,15]],"date-time":"2017-05-15T20:34:41Z","timestamp":1494880481000},"page":"776-781","source":"Crossref","is-referenced-by-count":9,"title":["Hybrid spiking-based multi-layered self-learning neuromorphic system based on memristor crossbar arrays"],"prefix":"10.23919","author":[{"given":"Amr M.","family":"Hassan","sequence":"first","affiliation":[{"name":"Electrical and Computer Engineering Department, University of Pittsburgh"}]},{"given":"Chaofei","family":"Yang","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering Department, University of Pittsburgh"}]},{"given":"Chenchen","family":"Liu","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering Department, University of Pittsburgh"}]},{"given":"Hai Helen","family":"Li","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering Department, University of Pittsburgh"}]},{"given":"Yiran","family":"Chen","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering Department, University of Pittsburgh"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1063\/1.3564883"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2296777"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2014.6742916"},{"key":"ref13","first-page":"21","article-title":"Enabling Back Propagation Training of Mem-ristor Crossbar Neuromorphic Processors","author":"hasan","year":"2014","journal-title":"Int Joint Conf Neural Networks (IJCNN)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2304638"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2744769.2744783"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2356439"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNANO.2016.2546686"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNANO.2014.2299558"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI.2014.32"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5536970"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2015.2474396"},{"journal-title":"The international Technology Roadmap for Semiconductors - ITRS 2013 Edition Emerging Research Devices","year":"0","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2008.2005781"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1021\/nl904092h"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/0022-3727\/46\/9\/093001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI.2010.118"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/216585.216588"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LED.2012.2207429"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2016.7527509"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WISP.2015.7139171"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2001","author":"bishop","key":"ref21"},{"key":"ref24","first-page":"7:1","article-title":"Digital-Assisted Noise-Eliminating Training for Memris-tor Crossbar-Based Analog Neuromorphic Computing Engine","author":"liu","year":"2013","journal-title":"Design Automation Conference (DAC)"},{"journal-title":"PROBN1-A Set of Benchmarks and benchmarking rules for neural-network training algorithms","year":"1994","author":"prechelt","key":"ref23"}],"event":{"name":"2017 Design, Automation & Test in Europe Conference & Exhibition (DATE)","start":{"date-parts":[[2017,3,27]]},"location":"Lausanne, Switzerland","end":{"date-parts":[[2017,3,31]]}},"container-title":["Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE), 2017"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7919927\/7926947\/07927094.pdf?arnumber=7927094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T17:42:29Z","timestamp":1717609349000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7927094\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3]]},"references-count":24,"URL":"https:\/\/doi.org\/10.23919\/date.2017.7927094","relation":{},"subject":[],"published":{"date-parts":[[2017,3]]}}}