{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:27:07Z","timestamp":1740122827842,"version":"3.37.3"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,10,26]],"date-time":"2019-10-26T00:00:00Z","timestamp":1572048000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,10,26]],"date-time":"2019-10-26T00:00:00Z","timestamp":1572048000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s11063-019-10139-0","type":"journal-article","created":{"date-parts":[[2019,10,26]],"date-time":"2019-10-26T13:08:35Z","timestamp":1572095315000},"page":"1741-1751","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method"],"prefix":"10.1007","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2354-867X","authenticated-orcid":false,"given":"Akiyo","family":"Nomura","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Megumi","family":"Ito","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atsuya","family":"Okazaki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masatoshi","family":"Ishii","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sangbum","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junka","family":"Okazawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kohji","family":"Hosokawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wilfried","family":"Haensch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,26]]},"reference":[{"issue":"1","key":"10139_CR1","first-page":"89","volume":"2","author":"GW Burr","year":"2017","unstructured":"Burr GW, Shelby RM, Sebastian A, Kim S, Kim S, Sidler S, Virwani K, Ishii M, Narayanan P, Fumarola A et al (2017) Neuromorphic computing using non-volatile memory. Adv Phys X 2(1):89","journal-title":"Adv Phys X"},{"key":"10139_CR2","doi-asserted-by":"crossref","unstructured":"Kim S, Ishii M, Lewis S, Perri T, BrightSky M, Kim W, Jordan R, Burr G, Sosa N, Ray A et\u00a0al (2015) NVM neuromorphic core with 64k-cell (256-by-256) phase change memory synaptic array with on-chip neuron circuits for continuous in-situ learning, In: 2015 IEEE international electron devices meeting (IEDM). (IEEE), pp 17.1.1\u201317.1.4","DOI":"10.1109\/IEDM.2015.7409716"},{"issue":"6197","key":"10139_CR3","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1126\/science.1254642","volume":"345","author":"PA Merolla","year":"2014","unstructured":"Merolla PA, Arthur JV, Alvarez-Icaza R, Cassidy AS, Sawada J, Akopyan F, Jackson BL, Imam N, Guo C, Nakamura Y et al (2014) A million spiking-neuron integrated circuit with a scalable communication network and interface. Science 345(6197):668","journal-title":"Science"},{"issue":"1","key":"10139_CR4","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/MM.2018.112130359","volume":"38","author":"M Davies","year":"2018","unstructured":"Davies M, Srinivasa N, Lin TH, Chinya G, Cao Y, Choday SH, Dimou G, Joshi P, Imam N, Jain S et al (2018) Loihi: a neuromorphic manycore processor with on-chip learning. IEEE Micro 38(1):82","journal-title":"IEEE Micro"},{"key":"10139_CR5","doi-asserted-by":"crossref","unstructured":"Ito M, Ishii M, Okazaki A, Kim S, Okazawa J, Nomura A, Hosokawa K, Haensch W (2018) Lightweight refresh method for PCM-based neuromorphic circuits. In: 2018 IEEE 18th international conference on nanotechnology (IEEE-NANO). (IEEE), pp 1\u20134","DOI":"10.1109\/NANO.2018.8626327"},{"issue":"8","key":"10139_CR6","doi-asserted-by":"publisher","first-page":"2206","DOI":"10.1109\/TED.2012.2197951","volume":"59","author":"O Bichler","year":"2012","unstructured":"Bichler O, Suri M, Querlioz D, Vuillaume D, DeSalvo B, Gamrat C (2012) Visual pattern extraction using energy-efficient \u201c2-PCM Synapse\u201d neuromorphic architecture. IEEE Trans Electron Devices 59(8):2206","journal-title":"IEEE Trans Electron Devices"},{"key":"10139_CR7","doi-asserted-by":"crossref","unstructured":"Zhang W, Li T (2009) Characterizing and mitigating the impact of process variations on phase change based memory systems. In: 2009 42nd Annual IEEE\/ACM international symposium on microarchitecture (MICRO). (IEEE), pp 2\u201313","DOI":"10.1145\/1669112.1669116"},{"key":"10139_CR8","doi-asserted-by":"crossref","unstructured":"Suri M, Bichler O, Querlioz D, Cueto O, Perniola L, Sousa V, Vuillaume D, Gamrat C, DeSalvo B (2011) Phase change memory as synapse for ultra-dense neuromorphic systems: application to complex visual pattern extraction. In: 2011 IEEE international electron devices meeting (IEDM). (IEEE), pp 4.4.1\u20134.4.4","DOI":"10.1109\/IEDM.2011.6131488"},{"issue":"5","key":"10139_CR9","doi-asserted-by":"publisher","first-page":"2179","DOI":"10.1021\/nl201040y","volume":"12","author":"D Kuzum","year":"2012","unstructured":"Kuzum D, Jeyasingh RG, Lee B, Wong HSP (2012) Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing. Nano Lett 12(5):2179","journal-title":"Nano Lett"},{"issue":"11","key":"10139_CR10","doi-asserted-by":"publisher","first-page":"3498","DOI":"10.1109\/TED.2015.2439635","volume":"62","author":"GW Burr","year":"2015","unstructured":"Burr GW, Shelby RM, Sidler S, Di Nolfo C, Jang J, Boybat I, Shenoy RS, Narayanan P, Virwani K, Giacometti EU et al (2015) Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses) using phase-change memory as the synaptic weight element. IEEE Trans Electron Devices 62(11):3498","journal-title":"IEEE Trans Electron Devices"},{"issue":"12","key":"10139_CR11","doi-asserted-by":"publisher","first-page":"4309","DOI":"10.1109\/TED.2011.2167513","volume":"58","author":"D Ielmini","year":"2011","unstructured":"Ielmini D (2011) Modeling the universal set\/reset characteristics of bipolar RRAM by field-and temperature-driven filament growth. IEEE Trans Electron Devices 58(12):4309","journal-title":"IEEE Trans Electron Devices"},{"key":"10139_CR12","doi-asserted-by":"publisher","first-page":"272","DOI":"10.3389\/fnins.2013.00272","volume":"7","author":"E Neftci","year":"2014","unstructured":"Neftci E, Das S, Pedroni B, Kreutz-Delgado K, Cauwenberghs G (2014) Event-driven contrastive divergence for spiking neuromorphic systems. Front Neurosci 7:272","journal-title":"Front Neurosci"},{"issue":"11","key":"10139_CR13","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278","journal-title":"Proc IEEE"},{"key":"10139_CR14","doi-asserted-by":"crossref","unstructured":"Nomura A, Ito M, Okazaki A, Ishii M, Kim S, Okazawa J, Hosokawa K, Haensch W (2018) NVM weight variation impact on analog spiking neural network chip. In International conference on neural information processing. (Springer), pp 676\u2013685","DOI":"10.1007\/978-3-030-04239-4_61"},{"key":"10139_CR15","doi-asserted-by":"publisher","first-page":"333","DOI":"10.3389\/fnins.2016.00333","volume":"10","author":"T Gokmen","year":"2016","unstructured":"Gokmen T, Vlasov Y (2016) Acceleration of deep neural network training with resistive cross-point devices: design considerations. Front Neurosci 10:333","journal-title":"Front Neurosci"},{"key":"10139_CR16","doi-asserted-by":"crossref","unstructured":"Eryilmaz SB, Kuzum D, Yu S, Wong HSP (2015) Device and system level design considerations for analog-non-volatile-memory based neuromorphic architectures. In: 2015 IEEE international electron devices meeting (IEDM). (IEEE), pp 4.1.1\u20131.1.4","DOI":"10.1109\/IEDM.2015.7409622"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-019-10139-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-019-10139-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-019-10139-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T15:13:33Z","timestamp":1629904413000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-019-10139-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,26]]},"references-count":16,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["10139"],"URL":"https:\/\/doi.org\/10.1007\/s11063-019-10139-0","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"type":"print","value":"1370-4621"},{"type":"electronic","value":"1573-773X"}],"subject":[],"published":{"date-parts":[[2019,10,26]]},"assertion":[{"value":"26 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}