{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T15:54:58Z","timestamp":1781884498356,"version":"3.54.5"},"reference-count":51,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T00:00:00Z","timestamp":1664755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T00:00:00Z","timestamp":1664755200000},"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":[[2022,10,3]]},"DOI":"10.1109\/vlsi-soc54400.2022.9939654","type":"proceedings-article","created":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T20:41:50Z","timestamp":1667940110000},"page":"1-6","source":"Crossref","is-referenced-by-count":18,"title":["Energy-Efficient SNN Implementation Using RRAM-Based Computation In-Memory (CIM)"],"prefix":"10.1109","author":[{"given":"Asmae El","family":"Arrassi","sequence":"first","affiliation":[{"name":"Abdelmalek Essaadi University,ENSA,Al-Hoceima,Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anteneh","family":"Gebregiorgis","sequence":"additional","affiliation":[{"name":"Delft University of Technology,Department of Quantum and Computer Engineering,Delft,The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anass El","family":"Haddadi","sequence":"additional","affiliation":[{"name":"Abdelmalek Essaadi University,ENSA,Al-Hoceima,Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Said","family":"Hamdioui","sequence":"additional","affiliation":[{"name":"Delft University of Technology,Department of Quantum and Computer Engineering,Delft,The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"The characteristics of binary spike-time-dependent plasticity in hfo 2-based rram and applications for pattern recognition","author":"zhou","year":"2017","journal-title":"Nanoscale Research Letters"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2021.3089561"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3517343.3517349"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.09.004"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2021.3072200"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/MSSC.2016.2546199"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00435"},{"key":"ref35","article-title":"Memristive lif spiking neuron model and its application in morse code","author":"wang","year":"2022","journal-title":"Frontiers in Neuroscience"},{"key":"ref34","article-title":"Propagation delays determine the effects of synaptic plasticity on the structure and dynamics of neuronal networks","author":"asl","year":"2018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.09.007"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2015.00099"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2021.612041"},{"key":"ref2","article-title":"Future of computer architecture","author":"patterson","year":"2006","journal-title":"BARS"},{"key":"ref1","article-title":"Deepid3: Face recognition with very deep neural networks","author":"sun","year":"2015","journal-title":"ArXiv"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511815706"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00508"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1023\/B:NACO.0000027755.02868.60"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351295"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/aelm.201900060"},{"key":"ref26","article-title":"Training deep spiking neural networks","author":"ledinauskas","year":"2020","journal-title":"ArXiv"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRC.2016.7738691"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.02.027"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1002\/aelm.201800866"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2742060.2743756"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.mee.2018.01.009"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2018.00089"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00812"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"860","DOI":"10.7873\/DATE.2015.1085","article-title":"Spiking Neural Network with RRAM: Can We Use It for Real-World Application?","author":"tianqi tang","year":"2015","journal-title":"Design Automation Test in Europe Conference Exhibition (DATE)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM19573.2019.8993431"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.09.036"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1952.sp004764"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(99)00095-8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107447615"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S1383-8121(01)80015-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/adma.201705914"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/VLSI-SoC.2017.8203479"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2228360.2228448"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3365837"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2019.2903055"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3195970.3195998"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2018.8297302"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.6.1437"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1038\/36103"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.20-23-08812.2000"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.23-09-03697.2003"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1000850"},{"key":"ref41","article-title":"The mnist database of handwritten digits","author":"lecun","year":"1998"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/78829"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2018.2849872"}],"event":{"name":"2022 IFIP\/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)","location":"Patras, Greece","start":{"date-parts":[[2022,10,3]]},"end":{"date-parts":[[2022,10,5]]}},"container-title":["2022 IFIP\/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9939277\/9939284\/09939654.pdf?arnumber=9939654","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T20:22:10Z","timestamp":1669666930000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9939654\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,3]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/vlsi-soc54400.2022.9939654","relation":{},"subject":[],"published":{"date-parts":[[2022,10,3]]}}}