{"id":"https://openalex.org/W3017734258","doi":"https://doi.org/10.1109/aicas48895.2020.9073840","title":"Fully-Integrated Spiking Neural Network Using SiO<sub>x</sub>-Based RRAM as Synaptic Device","display_name":"Fully-Integrated Spiking Neural Network Using SiO<sub>x</sub>-Based RRAM as Synaptic Device","publication_year":2020,"publication_date":"2020-04-24","ids":{"openalex":"https://openalex.org/W3017734258","doi":"https://doi.org/10.1109/aicas48895.2020.9073840","mag":"3017734258"},"language":"en","primary_location":{"id":"doi:10.1109/aicas48895.2020.9073840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas48895.2020.9073840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cea.hal.science/cea-04463299","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088334813","display_name":"Amir Regev","orcid":"https://orcid.org/0000-0002-3939-2334"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amir REGEV","raw_affiliation_strings":["Weebit Nano, Hod Hasharon, Israel"],"affiliations":[{"raw_affiliation_string":"Weebit Nano, Hod Hasharon, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077526247","display_name":"Alessandro Bricalli","orcid":"https://orcid.org/0000-0002-0706-8628"},"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":"Alessandro BRICALLI","raw_affiliation_strings":["CEA-Leti, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"CEA-Leti, Grenoble, France","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076236601","display_name":"G. Piccolboni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giuseppe PICCOLBONI","raw_affiliation_strings":["Weebit Nano, Hod Hasharon, Israel"],"affiliations":[{"raw_affiliation_string":"Weebit Nano, Hod Hasharon, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079482442","display_name":"Alexandre Valentian","orcid":"https://orcid.org/0000-0002-4319-6563"},"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":"Alexandre VALENTIAN","raw_affiliation_strings":["CEA-Leti, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"CEA-Leti, Grenoble, France","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055024908","display_name":"Thomas Mesquida","orcid":"https://orcid.org/0000-0002-2572-5353"},"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 MESQUIDA","raw_affiliation_strings":["CEA-Leti, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"CEA-Leti, Grenoble, France","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036203178","display_name":"G. Molas","orcid":"https://orcid.org/0000-0002-7345-4164"},"institutions":[{"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"]},{"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gabriel MOLAS","raw_affiliation_strings":["CEA-Leti, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"CEA-Leti, Grenoble, France","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I2738703131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109399016","display_name":"Jean-Fran\u00e7ois Nodin","orcid":null},"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":"Jean-Francois NODIN","raw_affiliation_strings":["CEA-Leti, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"CEA-Leti, Grenoble, France","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I2738703131"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5088334813"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.411,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60087068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"148"},"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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.9966999888420105,"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":0.8848695755004883},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.786624550819397},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7115647792816162},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6259750127792358},{"id":"https://openalex.org/keywords/synaptic-weight","display_name":"Synaptic weight","score":0.6012293696403503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5948935151100159},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5055851936340332},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5044492483139038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47198230028152466},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4712066054344177},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.4605068564414978},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4538879692554474},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.42551034688949585},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.35284197330474854},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34560808539390564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33854979276657104},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2421378791332245},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.17998278141021729},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1618185043334961},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0862123966217041},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08065903186798096}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8848695755004883},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.786624550819397},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7115647792816162},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6259750127792358},{"id":"https://openalex.org/C66949984","wikidata":"https://www.wikidata.org/wiki/Q7662043","display_name":"Synaptic weight","level":3,"score":0.6012293696403503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5948935151100159},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5055851936340332},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5044492483139038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47198230028152466},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4712066054344177},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.4605068564414978},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4538879692554474},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.42551034688949585},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.35284197330474854},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34560808539390564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33854979276657104},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2421378791332245},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.17998278141021729},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1618185043334961},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0862123966217041},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08065903186798096}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/aicas48895.2020.9073840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas48895.2020.9073840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:cea-04463299v1","is_oa":true,"landing_page_url":"https://cea.hal.science/cea-04463299","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9073840","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:cea-04463299v1","is_oa":true,"landing_page_url":"https://cea.hal.science/cea-04463299","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9073840","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1963689209","https://openalex.org/W2024122052","https://openalex.org/W2138913040","https://openalex.org/W2585561899","https://openalex.org/W2783525259","https://openalex.org/W2789554134","https://openalex.org/W2789785996","https://openalex.org/W2803163155","https://openalex.org/W2810880765","https://openalex.org/W2898994846","https://openalex.org/W6680744640"],"related_works":["https://openalex.org/W3137378424","https://openalex.org/W2809732489","https://openalex.org/W4287780255","https://openalex.org/W3023361272","https://openalex.org/W4386475142","https://openalex.org/W2793181810","https://openalex.org/W1967489488","https://openalex.org/W2806638311","https://openalex.org/W4391092513","https://openalex.org/W4313442939"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents,":[2],"to":[3],"the":[4,7,10,39,60],"best":[5],"of":[6,14,81],"authors'":[8],"knowledge,":[9],"first":[11],"complete":[12],"integration":[13],"a":[15,36,78,84],"Spiking":[16],"Neural":[17],"Network":[18],"combining":[19],"analog":[20],"neurons":[21],"and":[22,38,56,59],"SiO":[23],"<sub":[24],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[25],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">x</sub>":[26],"-based":[27],"resistive":[28],"memory":[29],"(RRAM)":[30],"synapses.":[31],"The":[32,69],"implemented":[33],"topology":[34],"is":[35,41],"perceptron,":[37],"circuit":[40],"aimed":[42],"at":[43],"performing":[44],"MNIST":[45],"digits":[46],"classification.":[47],"An":[48],"existing":[49],"framework":[50],"was":[51,62],"adapted":[52],"for":[53],"off-line":[54],"learning":[55],"weight":[57],"quantization,":[58],"network":[61],"later":[63],"converted":[64],"into":[65],"its":[66],"spiking":[67],"equivalent.":[68],"test":[70],"chip,":[71],"fabricated":[72],"in":[73],"130":[74],"nm":[75],"CMOS,":[76],"shows":[77],"classification":[79],"accuracy":[80],"82%,":[82],"with":[83],"180":[85],"pJ":[86],"energy":[87],"dissipation":[88],"per":[89],"spike.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-05-01T00:00:00"}