{"id":"https://openalex.org/W2130578442","doi":"https://doi.org/10.1109/ijcnn.2004.1380051","title":"Vector-neuron models of associative memory","display_name":"Vector-neuron models of associative memory","publication_year":2005,"publication_date":"2005-04-05","ids":{"openalex":"https://openalex.org/W2130578442","doi":"https://doi.org/10.1109/ijcnn.2004.1380051","mag":"2130578442"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1380051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},"type":"preprint","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/A5063428503","display_name":"Boris Kryzhanovsky","orcid":"https://orcid.org/0000-0002-0901-6370"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"funder","lineage":["https://openalex.org/I1313323035"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"B.V. Kryzhanovsky","raw_affiliation_strings":["Institute of Optical Neural Technologies, Russian Academy of Science, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Optical Neural Technologies, Russian Academy of Science, Moscow, Russia","institution_ids":["https://openalex.org/I1313323035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051105003","display_name":"Leonid Litinskii","orcid":"https://orcid.org/0000-0003-3560-160X"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"funder","lineage":["https://openalex.org/I1313323035"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"L.B. Litinskii","raw_affiliation_strings":["Institute of Optical Neural Technologies, Russian Academy of Science, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Optical Neural Technologies, Russian Academy of Science, Moscow, Russia","institution_ids":["https://openalex.org/I1313323035"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017067635","display_name":"Andrei L. Mikaelian","orcid":null},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"funder","lineage":["https://openalex.org/I1313323035"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"A.L. Mikaelian","raw_affiliation_strings":["Institute of Optical Neural Technologies, Russian Academy of Science, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Optical Neural Technologies, Russian Academy of Science, Moscow, Russia","institution_ids":["https://openalex.org/I1313323035"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063428503"],"corresponding_institution_ids":["https://openalex.org/I1313323035"],"apc_list":null,"apc_paid":null,"fwci":2.2835,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8982784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"909","last_page":"914"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9800000190734863,"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"}},{"id":"https://openalex.org/T10591","display_name":"Theoretical and Computational Physics","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.9143169522285461},{"id":"https://openalex.org/keywords/hopfield-network","display_name":"Hopfield network","score":0.7685059309005737},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.7377445697784424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107802629470825},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6908770799636841},{"id":"https://openalex.org/keywords/bidirectional-associative-memory","display_name":"Bidirectional associative memory","score":0.6483256816864014},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5643498301506042},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.5541085600852966},{"id":"https://openalex.org/keywords/noise-immunity","display_name":"Noise immunity","score":0.5420071482658386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46468639373779297},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.46343642473220825},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36537110805511475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1374577283859253},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07173249125480652}],"concepts":[{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.9143169522285461},{"id":"https://openalex.org/C46421273","wikidata":"https://www.wikidata.org/wiki/Q1407668","display_name":"Hopfield network","level":3,"score":0.7685059309005737},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.7377445697784424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107802629470825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6908770799636841},{"id":"https://openalex.org/C120620853","wikidata":"https://www.wikidata.org/wiki/Q506355","display_name":"Bidirectional associative memory","level":4,"score":0.6483256816864014},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5643498301506042},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.5541085600852966},{"id":"https://openalex.org/C2988494973","wikidata":"https://www.wikidata.org/wiki/Q179448","display_name":"Noise immunity","level":3,"score":0.5420071482658386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46468639373779297},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.46343642473220825},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36537110805511475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1374577283859253},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07173249125480652},{"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2004.1380051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.311.7948","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.311.7948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/cond-mat/0412680v1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1530042113","https://openalex.org/W1545106927","https://openalex.org/W1585494536","https://openalex.org/W1609400622","https://openalex.org/W1652149320","https://openalex.org/W1843708201","https://openalex.org/W1965511886","https://openalex.org/W1965963207","https://openalex.org/W1966240450","https://openalex.org/W1968205992","https://openalex.org/W1989738084","https://openalex.org/W1997955977","https://openalex.org/W2041552107","https://openalex.org/W2042587503","https://openalex.org/W2059702531","https://openalex.org/W2068502166","https://openalex.org/W2070862784","https://openalex.org/W2072498974","https://openalex.org/W2077632161","https://openalex.org/W2080792322","https://openalex.org/W2087249138","https://openalex.org/W2119591605","https://openalex.org/W2133671888","https://openalex.org/W2161389622","https://openalex.org/W2414906568","https://openalex.org/W2582449852","https://openalex.org/W3003694668","https://openalex.org/W4238782770","https://openalex.org/W4255561275","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4321273133","https://openalex.org/W2050720944","https://openalex.org/W2137740981","https://openalex.org/W1536116856","https://openalex.org/W2769111744","https://openalex.org/W1863343919","https://openalex.org/W2087550650","https://openalex.org/W2360314204","https://openalex.org/W1560986979","https://openalex.org/W2163788249"],"abstract_inverted_index":{"We":[0,51],"consider":[1],"two":[2,29],"models":[3,22,33],"of":[4,38],"Hopfield-like":[5],"associative":[6],"memory":[7],"with":[8],"q-valued":[9],"neurons:":[10],"Potts-glass":[11],"neural":[12,17],"network":[13,18],"(PGNN)":[14],"and":[15,42,45,62],"parametrical":[16],"(PNN).":[19],"In":[20],"these":[21],"neurons":[23],"can":[24],"be":[25],"in":[26],"more":[27],"than":[28],"different":[30],"states.":[31],"The":[32],"have":[34],"the":[35,48],"record":[36],"characteristics":[37],"its":[39],"storage":[40],"capacity":[41],"noise":[43],"immunity,":[44],"significantly":[46],"exceed":[47],"Hopfield":[49],"model.":[50],"present":[52],"a":[53],"uniform":[54],"formalism":[55],"allowing":[56],"us":[57],"to":[58],"describe":[59],"both":[60],"PNN":[61],"PGNN.":[63],"This":[64],"networks":[65],"inherent":[66],"mechanisms,":[67],"responsible":[68],"for":[69],"outstanding":[70],"recognizing":[71],"properties,":[72],"are":[73],"clarified.":[74]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2019-06-27T00:00:00"}