{"id":"https://openalex.org/W3089817332","doi":"https://doi.org/10.1109/iscas45731.2020.9180808","title":"Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning","display_name":"Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3089817332","doi":"https://doi.org/10.1109/iscas45731.2020.9180808","mag":"3089817332"},"language":"en","primary_location":{"id":"doi:10.1109/iscas45731.2020.9180808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9180808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025696765","display_name":"Melika Payvand","orcid":"https://orcid.org/0000-0001-5400-067X"},"institutions":[{"id":"https://openalex.org/I12708293","display_name":"SIB Swiss Institute of Bioinformatics","ror":"https://ror.org/002n09z45","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I12708293"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Melika Payvand","raw_affiliation_strings":["Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I12708293","https://openalex.org/I202697423","https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082718233","display_name":"Yi\u011fit Demira\u011f","orcid":"https://orcid.org/0000-0001-8990-2075"},"institutions":[{"id":"https://openalex.org/I12708293","display_name":"SIB Swiss Institute of Bioinformatics","ror":"https://ror.org/002n09z45","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I12708293"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yigit Demirag","raw_affiliation_strings":["Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I12708293","https://openalex.org/I202697423","https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039853755","display_name":"Thomas Dalgaty","orcid":"https://orcid.org/0000-0003-0326-2121"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Dalgaty","raw_affiliation_strings":["CEA Leti, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA Leti, Grenoble, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210150049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046458712","display_name":"Elisa Vianello","orcid":"https://orcid.org/0000-0002-8868-9951"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Elisa Vianello","raw_affiliation_strings":["CEA Leti, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA Leti, Grenoble, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210150049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060241952","display_name":"Giacomo Indiveri","orcid":"https://orcid.org/0000-0002-7109-1689"},"institutions":[{"id":"https://openalex.org/I12708293","display_name":"SIB Swiss Institute of Bioinformatics","ror":"https://ror.org/002n09z45","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I12708293"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Giacomo Indiveri","raw_affiliation_strings":["Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I12708293","https://openalex.org/I202697423","https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7715312838554382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673507571220398},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5682005882263184},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49197933077812195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4670836925506592},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3597956895828247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3516797721385956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34569352865219116},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.29826459288597107},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11999520659446716}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7715312838554382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673507571220398},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5682005882263184},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49197933077812195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4670836925506592},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3597956895828247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3516797721385956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34569352865219116},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29826459288597107},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11999520659446716},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iscas45731.2020.9180808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9180808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.zora.uzh.ch:200400","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Payvand, Melika; Demirag, Yigit; Dalgaty, Thomas; Vianello, Elisa; Indiveri, Giacomo (2020). Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning. In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, 10 October 2020 - 21 October 2020, IEEE.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.5167/uzh-200400","is_oa":true,"landing_page_url":"https://doi.org/10.5167/uzh-200400","pdf_url":null,"source":{"id":"https://openalex.org/S7407051291","display_name":"Universit\u00e4t Z\u00fcrich, ZORA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:www.zora.uzh.ch:200400","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Payvand, Melika; Demirag, Yigit; Dalgaty, Thomas; Vianello, Elisa; Indiveri, Giacomo (2020). Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning. In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, 10 October 2020 - 21 October 2020, IEEE.","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1528492376","https://openalex.org/W1542981317","https://openalex.org/W2012894748","https://openalex.org/W2018027127","https://openalex.org/W2091777687","https://openalex.org/W2101091847","https://openalex.org/W2101964053","https://openalex.org/W2112796928","https://openalex.org/W2131188578","https://openalex.org/W2398563917","https://openalex.org/W2583536366","https://openalex.org/W2605663629","https://openalex.org/W2769049661","https://openalex.org/W2775771159","https://openalex.org/W2799611695","https://openalex.org/W2801035805","https://openalex.org/W2803163155","https://openalex.org/W2883593518","https://openalex.org/W2943535966","https://openalex.org/W2964263004","https://openalex.org/W2971211335","https://openalex.org/W3020141685","https://openalex.org/W3099743262","https://openalex.org/W6769261134"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W2590796488","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2109445684","https://openalex.org/W2081082331"],"abstract_inverted_index":{"Many":[0],"edge":[1],"computing":[2,34],"and":[3,8,14,63,85,116,127,156,171],"IoT":[4],"applications":[5],"require":[6],"adaptive":[7],"on-line":[9,55],"learning":[10,105],"architectures":[11,25],"for":[12,165,175],"fast":[13],"low-power":[15],"processing":[16],"of":[17,24,32,49,61,66,145,186],"locally":[18],"sensed":[19],"signals.":[20],"A":[21],"promising":[22],"class":[23],"to":[26,71,77,111,134],"solve":[27],"this":[28,43],"problem":[29],"is":[30],"that":[31,52,108],"in-memory":[33],"ones,":[35],"based":[36],"on":[37,188],"event-based":[38],"hybrid":[39],"memristive-CMOS":[40],"devices.":[41,151],"In":[42],"work,":[44],"we":[45,75,160],"present":[46,161],"an":[47],"example":[48],"such":[50],"systems":[51],"supports":[53],"always-on":[54],"learning.":[56],"To":[57,152],"overcome":[58],"the":[59,103,113,118,121,124,128,154,157,180,189],"problems":[60],"variability":[62],"limited":[64],"resolution":[65],"ReRAM":[67],"memristive":[68],"devices":[69],"used":[70,110,133],"store":[72],"synaptic":[73,114,122],"weights,":[74],"propose":[76],"use":[78],"only":[79],"their":[80,87,92],"High":[81],"Conductive":[82],"State":[83],"(HCS)":[84],"control":[86],"desired":[88],"conductance":[89],"by":[90],"modulating":[91],"programming":[93],"Compliance":[94],"Current":[95],"(I":[96],"<sub":[97,130,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[98,131,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">CC</sub>":[99,132],").":[100],"We":[101],"describe":[102],"spike-based":[104],"CMOS":[106,168],"circuits":[107,158],"are":[109],"modulate":[112],"weights":[115],"demonstrate":[117],"relationship":[119],"between":[120],"weight,":[123,137],"device":[125],"conductance,":[126],"I":[129],"set":[135],"its":[136],"with":[138,183],"experimental":[139],"measurements":[140],"from":[141,179],"a":[142,166],"4kb":[143],"array":[144],"HfO":[146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[149],"-based":[150],"validate":[153],"approach":[155],"presented,":[159],"circuit":[162],"simulation":[163],"results":[164],"standard":[167],"180nm":[169],"process":[170],"system-level":[172],"behavioral":[173],"simulations":[174],"classifying":[176],"hand-written":[177],"digits":[178],"MNIST":[181],"data-set":[182],"classification":[184],"accuracy":[185],"92.68%":[187],"test":[190],"set.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}