{"id":"https://openalex.org/W2800974870","doi":"https://doi.org/10.1145/3183584.3183623","title":"3D memristor-based adjustable deep recurrent neural network with programmable attention mechanism","display_name":"3D memristor-based adjustable deep recurrent neural network with programmable attention mechanism","publication_year":2017,"publication_date":"2017-07-17","ids":{"openalex":"https://openalex.org/W2800974870","doi":"https://doi.org/10.1145/3183584.3183623","mag":"2800974870"},"language":"en","primary_location":{"id":"doi:10.1145/3183584.3183623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183584.3183623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Neuromorphic Computing Symposium","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/A5028297277","display_name":"Hongyu An","orcid":"https://orcid.org/0000-0002-2350-9411"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hongyu An","raw_affiliation_strings":["University of Kansas"],"affiliations":[{"raw_affiliation_string":"University of Kansas","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034955307","display_name":"Zhen Zhou","orcid":"https://orcid.org/0000-0003-3232-9903"},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhen Zhou","raw_affiliation_strings":["Intel Corporation"],"affiliations":[{"raw_affiliation_string":"Intel Corporation","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018632091","display_name":"Yang Yi","orcid":"https://orcid.org/0000-0002-1354-0204"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Yi","raw_affiliation_strings":["University of Kansas"],"affiliations":[{"raw_affiliation_string":"University of Kansas","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028297277"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":0.2867,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62393292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9930999875068665,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9092597961425781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546302676200867},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.7426182627677917},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.6911393404006958},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6666392087936401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6518932580947876},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6077679395675659},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4848140776157379},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4499474763870239},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.42509615421295166},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.11514231562614441},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11351606249809265}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9092597961425781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546302676200867},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.7426182627677917},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.6911393404006958},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6666392087936401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6518932580947876},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6077679395675659},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4848140776157379},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4499474763870239},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.42509615421295166},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.11514231562614441},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11351606249809265},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183584.3183623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183584.3183623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Neuromorphic Computing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1947481528","https://openalex.org/W1983868989","https://openalex.org/W2064675550","https://openalex.org/W2112181056","https://openalex.org/W2133564696","https://openalex.org/W2164653071","https://openalex.org/W2170942820","https://openalex.org/W2209394967","https://openalex.org/W2610348679","https://openalex.org/W2765821352","https://openalex.org/W2770617105","https://openalex.org/W2772191583","https://openalex.org/W4229976825","https://openalex.org/W6676944181"],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W3207218810","https://openalex.org/W4292697011","https://openalex.org/W3212508523","https://openalex.org/W1995352804","https://openalex.org/W2909534142","https://openalex.org/W2086672837","https://openalex.org/W4367187682","https://openalex.org/W1940420793","https://openalex.org/W3215957123"],"abstract_inverted_index":{"Temporal":[0],"Attention":[1],"Mechanism":[2],"is":[3,27,110,133,148,166],"one":[4],"of":[5,20,45,49,58,64,116,156],"the":[6,23,43,46,56,60,79,107,114,117,154,157],"oldest":[7],"and":[8,15,127,135],"most":[9],"challenges":[10],"in":[11],"neuroscience,":[12],"artificial":[13],"intelligence,":[14],"neuromorphic":[16,36],"computing.":[17],"The":[18],"significances":[19],"investigation":[21],"on":[22,71,162],"temporal":[24,61],"attention":[25,62,72,102,108,118],"mechanism":[26,63,73,109],"not":[28],"only":[29],"to":[30,41,83],"build":[31],"a":[32,69,75,84,93,121,138],"more":[33],"power":[34],"efficient":[35],"computing":[37],"system":[38,48],"but":[39],"also":[40],"explore":[42],"knowledge":[44],"perception":[47],"human":[50,65],"brain.":[51],"In":[52,104],"this":[53,105],"paper,":[54],"for":[55,143],"purpose":[57],"investigating":[59],"brain,":[66],"we":[67,91],"proposed":[68,80,158],"hypothesis":[70],"with":[74,100,150],"mathematical":[76,81],"model,":[77,106],"utilized":[78],"model":[82],"conventional":[85],"recurrent":[86,97],"neural":[87,98,163],"network":[88,99],"(RNN).":[89],"Consequently,":[90],"constructed":[92],"novel":[94,122,139],"adjustable":[95],"deep":[96,160],"programmable":[101],"mechanism.":[103],"realized":[111],"through":[112],"programming":[113],"weights":[115],"matrix.":[119],"Moreover,":[120],"hardware":[123,142],"implementation":[124],"combining":[125],"memristor":[126],"monolithic":[128],"three-dimensional":[129],"(3D)":[130],"integration":[131],"technology":[132],"developed":[134],"analyzed.":[136],"Additionally,":[137],"nonlinear":[140],"module":[141],"traditional":[144],"RRNs":[145],"training":[146],"phase":[147],"designed":[149],"memristors.":[151],"At":[152],"last,":[153],"application":[155],"attention-oriented":[159],"RNNs":[161],"machine":[164],"translation":[165],"discussed.":[167]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
