{"id":"https://openalex.org/W2027508753","doi":"https://doi.org/10.1080/09540090600639339","title":"High capacity, small world associative memory models","display_name":"High capacity, small world associative memory models","publication_year":2006,"publication_date":"2006-09-01","ids":{"openalex":"https://openalex.org/W2027508753","doi":"https://doi.org/10.1080/09540090600639339","mag":"2027508753"},"language":"en","primary_location":{"id":"doi:10.1080/09540090600639339","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09540090600639339","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5105453354","display_name":"Neil Davey","orcid":null},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Neil Davey","raw_affiliation_strings":["School of Computer Science , University of Hertfordshire, College Lane , Hatfield, AL10 9AB, UK","School of Computer Science, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science , University of Hertfordshire, College Lane , Hatfield, AL10 9AB, UK","institution_ids":["https://openalex.org/I141584323"]},{"raw_affiliation_string":"School of Computer Science, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK","institution_ids":["https://openalex.org/I141584323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004602509","display_name":"Lee Calcraft","orcid":null},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lee Calcraft","raw_affiliation_strings":["School of Computer Science , University of Hertfordshire, College Lane , Hatfield, AL10 9AB, UK","School of Computer Science, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science , University of Hertfordshire, College Lane , Hatfield, AL10 9AB, UK","institution_ids":["https://openalex.org/I141584323"]},{"raw_affiliation_string":"School of Computer Science, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK","institution_ids":["https://openalex.org/I141584323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110294286","display_name":"Rod Adams","orcid":null},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Rod Adams","raw_affiliation_strings":["School of Computer Science , University of Hertfordshire, College Lane , Hatfield, AL10 9AB, UK","School of Computer Science, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science , University of Hertfordshire, College Lane , Hatfield, AL10 9AB, UK","institution_ids":["https://openalex.org/I141584323"]},{"raw_affiliation_string":"School of Computer Science, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK","institution_ids":["https://openalex.org/I141584323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110294286"],"corresponding_institution_ids":["https://openalex.org/I141584323"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":null,"fwci":6.0545,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95871273,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"18","issue":"3","first_page":"247","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.7327927947044373},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.7198777198791504},{"id":"https://openalex.org/keywords/small-world-network","display_name":"Small-world network","score":0.6700801253318787},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.6644726991653442},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5992870330810547},{"id":"https://openalex.org/keywords/bidirectional-associative-memory","display_name":"Bidirectional associative memory","score":0.5641927719116211},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4608862102031708},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.41911640763282776},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3662383556365967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36103689670562744},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3544754385948181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32586511969566345},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.17994460463523865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17777365446090698},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16387593746185303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327927947044373},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.7198777198791504},{"id":"https://openalex.org/C183331307","wikidata":"https://www.wikidata.org/wiki/Q840026","display_name":"Small-world network","level":3,"score":0.6700801253318787},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.6644726991653442},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5992870330810547},{"id":"https://openalex.org/C120620853","wikidata":"https://www.wikidata.org/wiki/Q506355","display_name":"Bidirectional associative memory","level":4,"score":0.5641927719116211},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4608862102031708},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.41911640763282776},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3662383556365967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36103689670562744},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3544754385948181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32586511969566345},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.17994460463523865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17777365446090698},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16387593746185303},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540090600639339","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09540090600639339","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.60.8337","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.8337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homepages.feis.herts.ac.uk/~nngroup/pubs/papers/Davey-consci06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W155417673","https://openalex.org/W390146837","https://openalex.org/W1501867204","https://openalex.org/W1502580017","https://openalex.org/W1539670134","https://openalex.org/W1573579329","https://openalex.org/W1603661052","https://openalex.org/W1673584506","https://openalex.org/W1768442763","https://openalex.org/W1884390770","https://openalex.org/W1947595544","https://openalex.org/W1964780875","https://openalex.org/W1966037393","https://openalex.org/W1971252816","https://openalex.org/W1971873204","https://openalex.org/W1976033787","https://openalex.org/W1986477811","https://openalex.org/W2002429803","https://openalex.org/W2017019099","https://openalex.org/W2022173618","https://openalex.org/W2029182425","https://openalex.org/W2030450972","https://openalex.org/W2032915841","https://openalex.org/W2033788889","https://openalex.org/W2044770804","https://openalex.org/W2062851009","https://openalex.org/W2068719667","https://openalex.org/W2080792322","https://openalex.org/W2092029800","https://openalex.org/W2097447636","https://openalex.org/W2112090702","https://openalex.org/W2117495845","https://openalex.org/W2121821841","https://openalex.org/W2128084896","https://openalex.org/W2128465753","https://openalex.org/W2133671888","https://openalex.org/W2135722352","https://openalex.org/W2139348845","https://openalex.org/W2152658331","https://openalex.org/W2156774185","https://openalex.org/W2158780150","https://openalex.org/W2160078357","https://openalex.org/W2161278885","https://openalex.org/W2163071595","https://openalex.org/W2171673774","https://openalex.org/W2905110430","https://openalex.org/W2912753314","https://openalex.org/W3082119817","https://openalex.org/W3100099852","https://openalex.org/W3147726452","https://openalex.org/W4210786305","https://openalex.org/W4236156168","https://openalex.org/W4298069009"],"related_works":["https://openalex.org/W1987836535","https://openalex.org/W4321273133","https://openalex.org/W1503438809","https://openalex.org/W2109892802","https://openalex.org/W1536116856","https://openalex.org/W2769111744","https://openalex.org/W2260028708","https://openalex.org/W1492367088","https://openalex.org/W2050720944","https://openalex.org/W1902246517"],"abstract_inverted_index":{"Models":[0],"of":[1,29],"associative":[2,98,116],"memory":[3],"usually":[4],"have":[5,19],"full":[6],"connectivity":[7,50,72,93],"or,":[8],"if":[9],"diluted,":[10],"random":[11,57],"symmetric":[12,75],"connectivity.":[13,23],"In":[14],"contrast,":[15],"biological":[16],"neural":[17],"systems":[18],"predominantly":[20],"local,":[21],"non-symmetric":[22,89,92],"Here":[24],"we":[25],"investigate":[26],"sparse":[27],"networks":[28,87,108],"threshold":[30],"units,":[31],"trained":[32],"with":[33,63,88],"the":[34,84],"perceptron":[35],"learning":[36],"rule.":[37],"The":[38,49,71,78],"units":[39],"are":[40,44],"given":[41],"position":[42],"and":[43,91],"arranged":[45],"in":[46,105],"a":[47,59],"ring.":[48],"graph":[51],"varies":[52],"between":[53,67],"being":[54],"local":[55],"to":[56],"via":[58],"small":[60,85,109],"world":[61,86,110],"regime,":[62],"short":[64],"path":[65],"lengths":[66],"any":[68],"two":[69],"neurons.":[70],"may":[73],"be":[74],"or":[76],"non-symmetric.":[77],"results":[79],"show":[80],"that":[81,94,104],"it":[82],"is":[83,101],"weights":[90],"perform":[95],"best":[96],"as":[97],"memories.":[99],"It":[100],"also":[102],"shown":[103],"highly":[106],"dilute":[107],"architectures":[111],"will":[112],"produce":[113],"efficiently":[114],"wired":[115],"memories,":[117],"which":[118],"still":[119],"exhibit":[120],"good":[121],"pattern":[122],"completion":[123],"abilities.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
