{"id":"https://openalex.org/W2120798752","doi":"https://doi.org/10.1109/ijcnn.2005.1556022","title":"Retrieval property of associative memory with negative resistance","display_name":"Retrieval property of associative memory with negative resistance","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W2120798752","doi":"https://doi.org/10.1109/ijcnn.2005.1556022","mag":"2120798752"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556022","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5011006265","display_name":"Y. Hayakawa","orcid":"https://orcid.org/0000-0002-0168-7145"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Hayakawa","raw_affiliation_strings":["Research Institute of Electrical Communication, University of Tohoku, Japan","Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Electrical Communication, University of Tohoku, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan#TAB#","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029610297","display_name":"Hongge Li","orcid":"https://orcid.org/0000-0001-7107-7804"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hongge Li","raw_affiliation_strings":["Research Institute of Electrical Communication, University of Tohoku, Japan","Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Electrical Communication, University of Tohoku, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan#TAB#","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054312440","display_name":"Koji Nakajima","orcid":"https://orcid.org/0000-0002-0016-5361"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Nakajima","raw_affiliation_strings":["Research Institute of Electrical Communication, University of Tohoku, Japan","Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Electrical Communication, University of Tohoku, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan#TAB#","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4561,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59303136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1187","last_page":"1192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9994000196456909,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9983000159263611,"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/spurious-relationship","display_name":"Spurious relationship","score":0.904578685760498},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.7706551551818848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7218869924545288},{"id":"https://openalex.org/keywords/bidirectional-associative-memory","display_name":"Bidirectional associative memory","score":0.7081021666526794},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6718127727508545},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5237933397293091},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.47089484333992004},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.462179571390152},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.42842933535575867},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.4107101261615753},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.402896523475647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2549596130847931},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12469017505645752},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09290087223052979}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.904578685760498},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.7706551551818848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218869924545288},{"id":"https://openalex.org/C120620853","wikidata":"https://www.wikidata.org/wiki/Q506355","display_name":"Bidirectional associative memory","level":4,"score":0.7081021666526794},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6718127727508545},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5237933397293091},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.47089484333992004},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.462179571390152},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.42842933535575867},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.4107101261615753},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.402896523475647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2549596130847931},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12469017505645752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09290087223052979},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556022","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W88754628","https://openalex.org/W1585053006","https://openalex.org/W1969984789","https://openalex.org/W1997232749","https://openalex.org/W2000626902","https://openalex.org/W2009375605","https://openalex.org/W2020731033","https://openalex.org/W2022008179","https://openalex.org/W2029182425","https://openalex.org/W2029533735","https://openalex.org/W2052323792","https://openalex.org/W2075210427","https://openalex.org/W2075380850","https://openalex.org/W2080792322","https://openalex.org/W2085790934","https://openalex.org/W2092493368","https://openalex.org/W2128084896","https://openalex.org/W2129217160","https://openalex.org/W2133671888","https://openalex.org/W2472012335","https://openalex.org/W3103983837","https://openalex.org/W3147726452","https://openalex.org/W4214871172"],"related_works":["https://openalex.org/W4321273133","https://openalex.org/W2137740981","https://openalex.org/W2050720944","https://openalex.org/W1987836535","https://openalex.org/W1536116856","https://openalex.org/W2104835989","https://openalex.org/W2158622082","https://openalex.org/W1517412873","https://openalex.org/W2769111744","https://openalex.org/W2125477157"],"abstract_inverted_index":{"The":[0,26,55,73],"self-connection":[1,114],"can":[2,43,80],"enlarge":[3,118],"the":[4,13,17,21,52,63,67,77,82,93,98,105,109,113,127,133],"memory":[5,10,23,95,120],"capacity":[6],"of":[7,20,28,76,88,103,108,129],"an":[8],"associative":[9,94],"based":[11,96],"on":[12,70,85,97],"neural":[14,90,135],"network,":[15],"however,":[16],"basin":[18,29,53,106],"size":[19,30,107],"embedded":[22],"state":[24],"shrinks.":[25],"problem":[27],"is":[31],"related":[32],"to":[33,50,117],"undesirable":[34],"stable":[35],"states":[36,84],"which":[37,61,111],"are":[38],"spurious":[39,46],"states.":[40],"If":[41],"we":[42,48,125],"destabilize":[44,81],"these":[45],"states,":[47],"expect":[49],"improve":[51],"size.":[54],"inverse":[56],"function":[57],"delayed":[58],"(ID)":[59],"model":[60,65,79,100],"includes":[62],"BVP":[64],"has":[66,101,112],"negative":[68,74],"resistance":[69,75],"its":[71],"dynamics.":[72],"ID":[78,99],"equilibrium":[83],"some":[86],"regions":[87],"conventional":[89,134],"network.":[91],"Hence,":[92],"possibilities":[102],"improving":[104],"network":[110,136],"in":[115],"order":[116],"a":[119],"capacity.":[121],"In":[122],"this":[123],"paper,":[124],"show":[126],"improvement":[128],"performance":[130],"compared":[131],"with":[132],"by":[137],"computer":[138],"simulation.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}