{"id":"https://openalex.org/W2157335309","doi":"https://doi.org/10.1109/tnnls.2015.2399491","title":"Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses","display_name":"Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses","publication_year":2015,"publication_date":"2015-02-24","ids":{"openalex":"https://openalex.org/W2157335309","doi":"https://doi.org/10.1109/tnnls.2015.2399491","mag":"2157335309","pmid":"https://pubmed.ncbi.nlm.nih.gov/26595417"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2015.2399491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2399491","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101056629","display_name":"Yu Nishitani","orcid":null},"institutions":[{"id":"https://openalex.org/I1283155146","display_name":"Panasonic (Japan)","ror":"https://ror.org/011tm7n37","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283155146"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yu Nishitani","raw_affiliation_strings":["Advanced Research Division, Panasonic Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Advanced Research Division, Panasonic Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I1283155146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078215874","display_name":"Yukihiro Kaneko","orcid":"https://orcid.org/0000-0003-0000-5840"},"institutions":[{"id":"https://openalex.org/I1283155146","display_name":"Panasonic (Japan)","ror":"https://ror.org/011tm7n37","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283155146"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukihiro Kaneko","raw_affiliation_strings":["Advanced Research Division, Panasonic Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Advanced Research Division, Panasonic Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I1283155146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102259753","display_name":"Michihito Ueda","orcid":null},"institutions":[{"id":"https://openalex.org/I1283155146","display_name":"Panasonic (Japan)","ror":"https://ror.org/011tm7n37","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283155146"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michihito Ueda","raw_affiliation_strings":["Advanced Research Division, Panasonic Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Advanced Research Division, Panasonic Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I1283155146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101056629"],"corresponding_institution_ids":["https://openalex.org/I1283155146"],"apc_list":null,"apc_paid":null,"fwci":2.5647,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.90496664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":"12","first_page":"2999","last_page":"3008"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9991999864578247,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740546464920044},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.6586625576019287},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6324109435081482},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5359220504760742},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4979417324066162},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4907122850418091},{"id":"https://openalex.org/keywords/synaptic-weight","display_name":"Synaptic weight","score":0.4717344045639038},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46813878417015076},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.4678296148777008},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.44193384051322937},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.4342005252838135},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.39858293533325195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39154088497161865},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.2993530035018921},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1726701557636261},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11107894778251648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740546464920044},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.6586625576019287},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6324109435081482},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5359220504760742},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4979417324066162},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4907122850418091},{"id":"https://openalex.org/C66949984","wikidata":"https://www.wikidata.org/wiki/Q7662043","display_name":"Synaptic weight","level":3,"score":0.4717344045639038},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46813878417015076},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.4678296148777008},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.44193384051322937},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.4342005252838135},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.39858293533325195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39154088497161865},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.2993530035018921},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1726701557636261},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11107894778251648},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009473","descriptor_name":"Neuronal Plasticity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009473","descriptor_name":"Neuronal Plasticity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009473","descriptor_name":"Neuronal Plasticity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013569","descriptor_name":"Synapses","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013569","descriptor_name":"Synapses","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013569","descriptor_name":"Synapses","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2015.2399491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2399491","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:26595417","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26595417","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W101771737","https://openalex.org/W345956458","https://openalex.org/W1489333352","https://openalex.org/W1498436455","https://openalex.org/W1578671836","https://openalex.org/W1589692855","https://openalex.org/W1636374184","https://openalex.org/W1964773927","https://openalex.org/W1979404250","https://openalex.org/W1982449228","https://openalex.org/W1983804686","https://openalex.org/W1985009213","https://openalex.org/W1987760418","https://openalex.org/W1993472407","https://openalex.org/W1994074248","https://openalex.org/W2000814332","https://openalex.org/W2006370340","https://openalex.org/W2016922062","https://openalex.org/W2039375332","https://openalex.org/W2042013578","https://openalex.org/W2051385641","https://openalex.org/W2055451856","https://openalex.org/W2056317722","https://openalex.org/W2067829054","https://openalex.org/W2069562046","https://openalex.org/W2077895767","https://openalex.org/W2084736536","https://openalex.org/W2093320793","https://openalex.org/W2094325813","https://openalex.org/W2101834447","https://openalex.org/W2109529551","https://openalex.org/W2142770417","https://openalex.org/W2143908786","https://openalex.org/W2147101007","https://openalex.org/W2148251150","https://openalex.org/W2172196946","https://openalex.org/W2569813014","https://openalex.org/W3148499377","https://openalex.org/W3203939726","https://openalex.org/W4238614602"],"related_works":["https://openalex.org/W2926332116","https://openalex.org/W1990306796","https://openalex.org/W2954909726","https://openalex.org/W3139020568","https://openalex.org/W4205843713","https://openalex.org/W2744715919","https://openalex.org/W4205344526","https://openalex.org/W2995498660","https://openalex.org/W2088600489","https://openalex.org/W2736237086"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,32,44,51,55,94,108,149],"supervised":[3,132],"learning":[4,96,110,121,126,133],"model":[5,23,37,76,134],"that":[6],"enables":[7],"error":[8,84],"backpropagation":[9],"for":[10,35],"spiking":[11],"neural":[12,156],"network":[13,33,83],"hardware.":[14],"The":[15],"method":[16],"is":[17,38,50,62,138],"modeled":[18],"by":[19,80,111],"modifying":[20],"an":[21,65],"existing":[22],"to":[24,69,85,98,118],"suit":[25],"the":[26,36,71,82,86,90,99,115,120,125,136,141],"hardware":[27],"implementation.":[28],"An":[29,101],"example":[30],"of":[31,59,89,130,140,143],"circuit":[34,116,137],"also":[39],"presented.":[40],"In":[41,123],"this":[42,131],"circuit,":[43],"three-terminal":[45],"ferroelectric":[46,60],"memristor":[47],"(3T-FeMEM),":[48],"which":[49],"field-effect":[52],"transistor":[53],"with":[54],"gate":[56],"insulator":[57],"composed":[58],"materials,":[61],"used":[63],"as":[64,107],"electric":[66],"synapse":[67],"device":[68],"store":[70],"analog":[72],"synaptic":[73],"weight.":[74],"Our":[75],"can":[77],"be":[78],"implemented":[79],"reflecting":[81],"write":[87],"voltage":[88],"3T-FeMEMs":[91],"and":[92,135,151],"introducing":[93],"spike-timing-dependent":[95],"function":[97],"device.":[100],"XOR":[102],"problem":[103],"was":[104],"successfully":[105],"demonstrated":[106],"benchmark":[109],"numerical":[112],"simulations":[113],"using":[114],"properties":[117],"estimate":[119],"performance.":[122],"principle,":[124],"time":[127],"per":[128],"step":[129],"independent":[139],"number":[142],"neurons":[144],"in":[145,154],"each":[146],"layer,":[147],"promising":[148],"high-speed":[150],"low-power":[152],"calculation":[153],"large-scale":[155],"networks.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
