{"id":"https://openalex.org/W2734736703","doi":"https://doi.org/10.1109/ijcnn.2017.7965991","title":"A CMOS chaotic Boltzmann machine circuit and three-neuron network operation","display_name":"A CMOS chaotic Boltzmann machine circuit and three-neuron network operation","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2734736703","doi":"https://doi.org/10.1109/ijcnn.2017.7965991","mag":"2734736703"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7965991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7965991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5102026970","display_name":"Masatoshi Yamaguchi","orcid":"https://orcid.org/0000-0003-2303-0280"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masatoshi Yamaguchi","raw_affiliation_strings":["Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036848200","display_name":"Hakaru Tamukoh","orcid":"https://orcid.org/0000-0002-3669-1371"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hakaru Tamukoh","raw_affiliation_strings":["Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052378033","display_name":"Hideyuki Suzuki","orcid":"https://orcid.org/0000-0002-8150-140X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideyuki Suzuki","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100729080","display_name":"Takashi Morie","orcid":"https://orcid.org/0000-0003-2708-4307"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Morie","raw_affiliation_strings":["Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102026970"],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":0.5851,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75240413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"e76 c","issue":null,"first_page":"1218","last_page":"1224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9944999814033508,"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/cmos","display_name":"CMOS","score":0.6983259916305542},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.6740148663520813},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6735731959342957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6468380689620972},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.5645481944084167},{"id":"https://openalex.org/keywords/subthreshold-conduction","display_name":"Subthreshold conduction","score":0.5454862117767334},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.5203399658203125},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.506665050983429},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4965127110481262},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.4118783175945282},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2884559631347656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.282947301864624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2071343958377838},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.19145920872688293},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1830858290195465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15124201774597168},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07892385125160217}],"concepts":[{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.6983259916305542},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.6740148663520813},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6735731959342957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468380689620972},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.5645481944084167},{"id":"https://openalex.org/C156465305","wikidata":"https://www.wikidata.org/wiki/Q1658601","display_name":"Subthreshold conduction","level":4,"score":0.5454862117767334},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.5203399658203125},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.506665050983429},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4965127110481262},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.4118783175945282},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2884559631347656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.282947301864624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2071343958377838},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.19145920872688293},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1830858290195465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15124201774597168},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07892385125160217}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7965991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7965991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.550000011920929,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W14648180","https://openalex.org/W80120279","https://openalex.org/W189596042","https://openalex.org/W1974319351","https://openalex.org/W1981876061","https://openalex.org/W2014832577","https://openalex.org/W2042492924","https://openalex.org/W2046913730","https://openalex.org/W2056836372","https://openalex.org/W2110508485","https://openalex.org/W2136922672","https://openalex.org/W2145989319","https://openalex.org/W2167980960","https://openalex.org/W2524298399","https://openalex.org/W2561806701","https://openalex.org/W2725061391","https://openalex.org/W6607775107","https://openalex.org/W6696569386","https://openalex.org/W6731048030"],"related_works":["https://openalex.org/W2155827627","https://openalex.org/W2916681395","https://openalex.org/W4312378593","https://openalex.org/W4242937255","https://openalex.org/W2131019417","https://openalex.org/W2018127069","https://openalex.org/W2132385758","https://openalex.org/W2766813066","https://openalex.org/W1593424929","https://openalex.org/W2098218272"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"CMOS":[3,69,102],"VLSI":[4,36,56],"implementation":[5,37],"of":[6,19,38,68,71,82,99],"a":[7,51,55,100,114],"chaotic":[8,111],"Boltzmann":[9,26,39],"machine":[10,27],"(CBM)":[11],"model,":[12],"which":[13,49],"uses":[14,79],"analog":[15],"nonlinear":[16],"dynamics":[17],"instead":[18],"stochastic":[20],"operation":[21,81,108],"as":[22,58,60],"in":[23,90,113],"the":[24,65,86,91],"original":[25],"model.":[28,93],"The":[29,76],"CBM":[30,92],"model":[31],"is":[32],"suitable":[33],"for":[34,104],"efficient":[35],"machines":[40],"because":[41],"it":[42],"requires":[43],"no":[44],"random":[45],"number":[46],"generator":[47],"circuits,":[48],"consume":[50],"considerable":[52,61],"footprint":[53],"on":[54],"chip":[57,103],"well":[59],"power.":[62],"We":[63,94],"describe":[64],"design":[66],"results":[67,98],"circuits":[70],"neuron":[72,77],"and":[73,109],"synapse":[74],"units.":[75],"circuit":[78,107],"subthreshold":[80],"MOSFETs":[83],"to":[84],"realize":[85],"exponential":[87],"function":[88],"used":[89],"also":[95],"provide":[96],"measurement":[97],"fabricated":[101],"single-neuron":[105],"unit":[106],"demonstrate":[110],"behavior":[112],"three-neuron":[115],"network.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}