{"id":"https://openalex.org/W2769111744","doi":"https://doi.org/10.1109/icci-cc.2017.8109750","title":"A study on merging mechanisms of simple hopfield network models for building associative memory","display_name":"A study on merging mechanisms of simple hopfield network models for building associative memory","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2769111744","doi":"https://doi.org/10.1109/icci-cc.2017.8109750","mag":"2769111744"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2017.8109750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2017.8109750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5008070271","display_name":"Peter Kimani Mungai","orcid":"https://orcid.org/0000-0002-2699-861X"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Peter Kimani Mungai","raw_affiliation_strings":["Graduate School of Computer and Information Sciences Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Computer and Information Sciences Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005081022","display_name":"Runhe Huang","orcid":"https://orcid.org/0000-0003-4366-0458"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Runhe Huang","raw_affiliation_strings":["Faculty of Computer and Information Sciences Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Sciences Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008070271"],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":0.5851,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76532023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"199","last_page":"206"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9940999746322632,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hopfield-network","display_name":"Hopfield network","score":0.9053664207458496},{"id":"https://openalex.org/keywords/bidirectional-associative-memory","display_name":"Bidirectional associative memory","score":0.9028950929641724},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.8353114128112793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7949855327606201},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6974515318870544},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.677435040473938},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6726244688034058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6417863965034485},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.5979912281036377},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5381388068199158},{"id":"https://openalex.org/keywords/hebbian-theory","display_name":"Hebbian theory","score":0.48054248094558716},{"id":"https://openalex.org/keywords/nervous-system-network-models","display_name":"Nervous system network models","score":0.463080495595932},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4392319321632385},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.3511381149291992},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.342851459980011}],"concepts":[{"id":"https://openalex.org/C46421273","wikidata":"https://www.wikidata.org/wiki/Q1407668","display_name":"Hopfield network","level":3,"score":0.9053664207458496},{"id":"https://openalex.org/C120620853","wikidata":"https://www.wikidata.org/wiki/Q506355","display_name":"Bidirectional associative memory","level":4,"score":0.9028950929641724},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.8353114128112793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7949855327606201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6974515318870544},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.677435040473938},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6726244688034058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6417863965034485},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.5979912281036377},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5381388068199158},{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.48054248094558716},{"id":"https://openalex.org/C173079777","wikidata":"https://www.wikidata.org/wiki/Q4299350","display_name":"Nervous system network models","level":5,"score":0.463080495595932},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4392319321632385},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.3511381149291992},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.342851459980011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icci-cc.2017.8109750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2017.8109750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322716","display_name":"Japan International Cooperation Agency","ror":"https://ror.org/022es3t03"},{"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":6,"referenced_works":["https://openalex.org/W1486687522","https://openalex.org/W2128084896","https://openalex.org/W2530887700","https://openalex.org/W2557283755","https://openalex.org/W2560647685","https://openalex.org/W2583761661"],"related_works":["https://openalex.org/W1875637853","https://openalex.org/W4392488808","https://openalex.org/W4238782770","https://openalex.org/W4311415752","https://openalex.org/W2106485397","https://openalex.org/W1618190107","https://openalex.org/W2169158123","https://openalex.org/W1503438809","https://openalex.org/W2115949843","https://openalex.org/W2139276599"],"abstract_inverted_index":{"We":[0],"are":[1,31,123,141,148],"in":[2,21,120,137,150],"the":[3,11,24,107,159,174,177],"era":[4],"of":[5,13,69,146,176,187],"artificial":[6],"intelligence":[7,30],"which":[8],"is":[9,40,59,92,156],"fulfilling":[10],"vision":[12],"ubiquitous":[14],"intelligent":[15],"machines":[16],"and":[17,37,54,80,106,131,143,184],"systems.":[18],"Just":[19],"like":[20,72],"us":[22],"humans,":[23],"most":[25],"critical":[26],"elements":[27],"for":[28,98,115],"machine":[29],"those":[32],"related":[33],"to":[34,42],"associative":[35,52,100,132,164],"memory":[36,53,114],"recall.":[38,170],"It":[39],"urgent":[41],"have":[43],"a":[44,63,67,89,95,111,121,128,151,157,185],"structure":[45],"or":[46,104,166],"model":[47,64,160,179],"that":[48],"can":[49,161],"emulate":[50],"humanlike":[51],"recall":[55],"functionality.":[56],"This":[57,171],"research":[58],"aimed":[60],"at":[61],"building":[62],"based":[65],"on":[66],"hybrid":[68],"neural":[70,76,82],"networks":[71,119,140],"Hopfield":[73,90,108,118,139],"network,":[74],"recursive":[75],"network":[77,83,91],"(Recursive":[78],"NN),":[79],"recurrent":[81],"(Recurrent":[84],"NN).":[85],"In":[86],"our":[87],"study,":[88],"used":[93],"as":[94,110,168],"core":[96],"element":[97],"learning":[99],"relations":[101,133],"among":[102],"concepts":[103,165],"objects":[105,167],"matrix":[109],"basic":[112],"unit":[113],"association":[116],"knowledge.":[117],"sequence":[122],"recursively":[124],"merged":[125],"by":[126],"applying":[127],"Recursive":[129],"NN":[130],"between":[134],"concepts/objects":[135],"nodes":[136],"two":[138],"learned":[142],"their":[144],"sequences":[145],"merging":[147],"kept":[149],"Recurrent":[152],"NN.":[153],"When":[154],"there":[155],"stimulus,":[158],"retrieve":[162],"its":[163,169],"paper":[172],"shows":[173],"feasibility":[175],"proposed":[178],"with":[180],"some":[181],"case":[182],"study":[183],"proof":[186],"concept":[188],"prototype.":[189]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}