{"id":"https://openalex.org/W2600778099","doi":"https://doi.org/10.1162/neco_a_00954","title":"Multiassociative Memory: Recurrent Synapses Increase Storage Capacity","display_name":"Multiassociative Memory: Recurrent Synapses Increase Storage Capacity","publication_year":2017,"publication_date":"2017-03-23","ids":{"openalex":"https://openalex.org/W2600778099","doi":"https://doi.org/10.1162/neco_a_00954","mag":"2600778099","pmid":"https://pubmed.ncbi.nlm.nih.gov/28333588"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00954","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00954","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5084920198","display_name":"Marcelo Matheus Gauy","orcid":"https://orcid.org/0000-0001-8902-0435"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Marcelo Matheus Gauy","raw_affiliation_strings":["Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich 8092, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich 8092, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034357218","display_name":"Florian Meier","orcid":"https://orcid.org/0000-0003-4337-3846"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Florian Meier","raw_affiliation_strings":["Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich 8092, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich 8092, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062687538","display_name":"Angelika Steger","orcid":"https://orcid.org/0000-0002-3465-3996"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210133264","display_name":"Collegium Helveticum","ror":"https://ror.org/03qtkxb61","country_code":"CH","type":"facility","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088","https://openalex.org/I4210133264"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Angelika Steger","raw_affiliation_strings":["Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich 8092, Switzerland, and Collegium Helveticum, Zurich 8090, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich 8092, Switzerland, and Collegium Helveticum, Zurich 8090, Switzerland","institution_ids":["https://openalex.org/I35440088","https://openalex.org/I4210133264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034357218","https://openalex.org/A5062687538","https://openalex.org/A5084920198"],"corresponding_institution_ids":["https://openalex.org/I35440088","https://openalex.org/I4210133264"],"apc_list":null,"apc_paid":null,"fwci":0.2272,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49136058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":"5","first_page":"1375","last_page":"1405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991999864578247,"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/T10320","display_name":"Neural Networks and Applications","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synapse","display_name":"Synapse","score":0.7003182768821716},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5472589731216431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48047366738319397},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.47475484013557434},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45921066403388977},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.45211657881736755},{"id":"https://openalex.org/keywords/afferent","display_name":"Afferent","score":0.4487074613571167},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3303695321083069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2786960005760193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27693241834640503},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14456632733345032}],"concepts":[{"id":"https://openalex.org/C127445978","wikidata":"https://www.wikidata.org/wiki/Q187181","display_name":"Synapse","level":2,"score":0.7003182768821716},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5472589731216431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48047366738319397},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.47475484013557434},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45921066403388977},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.45211657881736755},{"id":"https://openalex.org/C2779263132","wikidata":"https://www.wikidata.org/wiki/Q2215671","display_name":"Afferent","level":2,"score":0.4487074613571167},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3303695321083069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2786960005760193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27693241834640503},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14456632733345032},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_00954","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00954","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:28333588","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28333588","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W17865367","https://openalex.org/W70316980","https://openalex.org/W1521633888","https://openalex.org/W1603077448","https://openalex.org/W1666326031","https://openalex.org/W1673584506","https://openalex.org/W1965189648","https://openalex.org/W1969205548","https://openalex.org/W1976738367","https://openalex.org/W1982131418","https://openalex.org/W1986857526","https://openalex.org/W1991266025","https://openalex.org/W1995341919","https://openalex.org/W1996253558","https://openalex.org/W2003952197","https://openalex.org/W2011525418","https://openalex.org/W2039154778","https://openalex.org/W2041601616","https://openalex.org/W2042422091","https://openalex.org/W2052805224","https://openalex.org/W2061176924","https://openalex.org/W2064050145","https://openalex.org/W2065847064","https://openalex.org/W2074391612","https://openalex.org/W2075187489","https://openalex.org/W2077680606","https://openalex.org/W2081029171","https://openalex.org/W2081118181","https://openalex.org/W2082622165","https://openalex.org/W2083910902","https://openalex.org/W2084454857","https://openalex.org/W2095774626","https://openalex.org/W2101222204","https://openalex.org/W2101295242","https://openalex.org/W2101926813","https://openalex.org/W2103594871","https://openalex.org/W2103934527","https://openalex.org/W2104551188","https://openalex.org/W2104681180","https://openalex.org/W2107524792","https://openalex.org/W2107887485","https://openalex.org/W2126076951","https://openalex.org/W2128084896","https://openalex.org/W2133804171","https://openalex.org/W2135369850","https://openalex.org/W2135576811","https://openalex.org/W2135908272","https://openalex.org/W2137614665","https://openalex.org/W2139975927","https://openalex.org/W2156051808","https://openalex.org/W2157426492","https://openalex.org/W2158322817","https://openalex.org/W2160990084","https://openalex.org/W2161819335","https://openalex.org/W2162269721","https://openalex.org/W2163605009","https://openalex.org/W2180007725","https://openalex.org/W2436164460","https://openalex.org/W2604272474","https://openalex.org/W2993383518","https://openalex.org/W2994602346","https://openalex.org/W3144881883","https://openalex.org/W4205316174","https://openalex.org/W4214571354","https://openalex.org/W4230890479","https://openalex.org/W4251881400","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W587735977","https://openalex.org/W1978142926","https://openalex.org/W3157395178","https://openalex.org/W184455116","https://openalex.org/W963756281","https://openalex.org/W2028768252","https://openalex.org/W2371558776","https://openalex.org/W2045569473","https://openalex.org/W2364426643","https://openalex.org/W2399388599"],"abstract_inverted_index":{"The":[0,44],"connection":[1],"density":[2,25,138],"of":[3,55,69,76,108,119,129],"nearby":[4],"neurons":[5,58],"in":[6,140,163,186],"the":[7,17,74,81,99,105,116,120,123,134,159,164,168,182],"cortex":[8],"has":[9],"been":[10],"observed":[11],"to":[12,157,180],"be":[13],"around":[14],"0.1,":[15],"whereas":[16],"longer-range":[18],"connections":[19],"are":[20],"present":[21],"with":[22,146],"much":[23],"sparser":[24],"(Kalisman,":[26],"Silberberg,":[27],"&":[28],"Markram,":[29],"2005":[30],").":[31,193],"We":[32,72],"propose":[33],"a":[34,49,90,130,141],"memory":[35],"association":[36],"model":[37,45,53,82,154,162],"that":[38,114,128,143,152],"qualitatively":[39],"explains":[40],"these":[41],"empirical":[42],"observations.":[43],"we":[46,102,150],"consider":[47],"is":[48,126,144,155,171],"multiassociative,":[50],"sparse,":[51],"Willshaw-like":[52],"consisting":[54],"binary":[56,60],"threshold":[57],"and":[59,87,110,189],"synapses.":[61],"It":[62],"uses":[63],"recurrent":[64,77,109,137],"synapses":[65,78],"for":[66,83,94],"iterative":[67],"retrieval":[68],"stored":[70],"memories.":[71],"quantify":[73],"usefulness":[75],"by":[79,88],"simulating":[80],"small":[84],"network":[85,96,100,124],"sizes":[86],"doing":[89],"precise":[91,106],"mathematical":[92],"analysis":[93],"large":[95],"sizes.":[97],"Given":[98],"parameters,":[101],"can":[103],"determine":[104],"values":[107],"afferent":[111],"synapse":[112,175],"densities":[113],"optimize":[115],"storage":[117],"capacity":[118,170],"network.":[121],"If":[122],"size":[125],"like":[127],"cortical":[131],"column,":[132],"then":[133],"predicted":[135],"optimal":[136],"lies":[139],"range":[142],"compatible":[145],"biological":[147],"measurements.":[148],"Furthermore,":[149],"show":[151],"our":[153],"able":[156],"surpass":[158],"standard":[160],"Willshaw":[161],"multiassociative":[165],"case":[166],"if":[167],"information":[169],"normalized":[172],"per":[173,177],"strong":[174],"or":[176],"bits":[178],"required":[179],"store":[181],"model,":[183],"as":[184],"considered":[185],"Knoblauch,":[187],"Palm,":[188],"Sommer":[190],"(":[191],"2010":[192]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
