{"id":"https://openalex.org/W2133943581","doi":"https://doi.org/10.1162/089976601300014367","title":"Effective Neuronal Learning with Ineffective Hebbian Learning Rules","display_name":"Effective Neuronal Learning with Ineffective Hebbian Learning Rules","publication_year":2001,"publication_date":"2001-04-01","ids":{"openalex":"https://openalex.org/W2133943581","doi":"https://doi.org/10.1162/089976601300014367","mag":"2133943581"},"language":"en","primary_location":{"id":"doi:10.1162/089976601300014367","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976601300014367","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"],"host_organization_lineage_names":["The MIT Press"],"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"],"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/A5045719865","display_name":"Gal Chechik","orcid":"https://orcid.org/0000-0001-9164-5303"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Gal Chechik","raw_affiliation_strings":["Center for Neural Computation, Hebrew University, Jerusalem, Israel, and School of Mathematical Sciences, Tel-Aviv University, Tel Aviv, 69978, Israel"],"affiliations":[{"raw_affiliation_string":"Center for Neural Computation, Hebrew University, Jerusalem, Israel, and School of Mathematical Sciences, Tel-Aviv University, Tel Aviv, 69978, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055796593","display_name":"Isaac Meilijson","orcid":"https://orcid.org/0000-0001-7825-9053"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Isaac Meilijson","raw_affiliation_strings":["School of Mathematical Sciences, Tel-Aviv University, Tel Aviv, 69978, Israel"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Tel-Aviv University, Tel Aviv, 69978, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063492133","display_name":"Eytan Ruppin","orcid":"https://orcid.org/0000-0002-7862-3940"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eytan Ruppin","raw_affiliation_strings":["Schools of Medicine and Mathematical Sciences, Tel-Aviv University, Tel Aviv, 69978, Israel","Schools of Medicine and Mathematical Sciences, Tel-Aviv University, Tel Aviv, 69978, Israel#TAB#"],"affiliations":[{"raw_affiliation_string":"Schools of Medicine and Mathematical Sciences, Tel-Aviv University, Tel Aviv, 69978, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"Schools of Medicine and Mathematical Sciences, Tel-Aviv University, Tel Aviv, 69978, Israel#TAB#","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045719865"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":3.065,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.91294446,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"4","first_page":"817","last_page":"840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T10581","display_name":"Neural dynamics and brain function","score":0.9997000098228455,"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/hebbian-theory","display_name":"Hebbian theory","score":0.9602972269058228},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.6815227270126343},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.6099680066108704},{"id":"https://openalex.org/keywords/associative-learning","display_name":"Associative learning","score":0.6077156662940979},{"id":"https://openalex.org/keywords/leabra","display_name":"Leabra","score":0.6061348915100098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5502550005912781},{"id":"https://openalex.org/keywords/synaptic-weight","display_name":"Synaptic weight","score":0.5314440131187439},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5189285278320312},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.45588621497154236},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.450204998254776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4139208197593689},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.41051995754241943},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24831390380859375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15943366289138794}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.9602972269058228},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.6815227270126343},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.6099680066108704},{"id":"https://openalex.org/C2983526489","wikidata":"https://www.wikidata.org/wiki/Q133500","display_name":"Associative learning","level":2,"score":0.6077156662940979},{"id":"https://openalex.org/C97108695","wikidata":"https://www.wikidata.org/wiki/Q6508265","display_name":"Leabra","level":5,"score":0.6061348915100098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5502550005912781},{"id":"https://openalex.org/C66949984","wikidata":"https://www.wikidata.org/wiki/Q7662043","display_name":"Synaptic weight","level":3,"score":0.5314440131187439},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5189285278320312},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.45588621497154236},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.450204998254776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4139208197593689},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.41051995754241943},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24831390380859375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15943366289138794},{"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/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.0},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/089976601300014367","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976601300014367","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"],"host_organization_lineage_names":["The MIT Press"],"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":"pmh:oai:CiteSeerX.psu:10.1.1.12.5454","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.5454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.tau.ac.il/~ruppin/effective.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1498038217","https://openalex.org/W1514853588","https://openalex.org/W1586016889","https://openalex.org/W1666326031","https://openalex.org/W1884390770","https://openalex.org/W1968205992","https://openalex.org/W1971156703","https://openalex.org/W1991841905","https://openalex.org/W1996561130","https://openalex.org/W2015418956","https://openalex.org/W2016770416","https://openalex.org/W2027896245","https://openalex.org/W2028744261","https://openalex.org/W2049511526","https://openalex.org/W2063360367","https://openalex.org/W2065546903","https://openalex.org/W2077009055","https://openalex.org/W2077501133","https://openalex.org/W2093519179","https://openalex.org/W2123067258","https://openalex.org/W2123820663","https://openalex.org/W2135017741","https://openalex.org/W2136760990","https://openalex.org/W2147101007","https://openalex.org/W2164043122","https://openalex.org/W2164258820","https://openalex.org/W2165312425","https://openalex.org/W2432567885","https://openalex.org/W2887242076"],"related_works":["https://openalex.org/W2026544443","https://openalex.org/W1530541224","https://openalex.org/W1978872345","https://openalex.org/W2183231132","https://openalex.org/W3049227448","https://openalex.org/W2943484315","https://openalex.org/W2158831520","https://openalex.org/W2182969463","https://openalex.org/W2466392136","https://openalex.org/W1520894008"],"abstract_inverted_index":{"In":[0],"this":[1],"article":[2],"we":[3],"revisit":[4],"the":[5,34,61,69,93,120,154],"classical":[6],"neuroscience":[7],"paradigm":[8],"of":[9,60,72,96,101,119,148],"Hebbian":[10,25,139],"learning.":[11],"We":[12],"find":[13],"that":[14,55,84,135],"it":[15,29],"is":[16],"difficult":[17],"to":[18,80],"achieve":[19],"effective":[20,94],"associative":[21,73,136],"memory":[22,70,82],"storage":[23,95],"by":[24,51,116,138,145],"synaptic":[26,35,63,122,140],"learning,":[27],"since":[28],"requires":[30],"network-level":[31],"information":[32],"at":[33],"level":[36],"or":[37],"sparse":[38],"coding":[39],"level.":[40],"Effective":[41],"learning":[42,137,141],"can":[43,111],"yet":[44],"be":[45,112,143],"achieved":[46],"even":[47],"with":[48,87,98],"nonsparse":[49],"patterns":[50,97],"a":[52,57,81,104],"neuronal":[53,108],"process":[54],"maintains":[56],"zero":[58],"sum":[59],"incoming":[62],"efficacies.":[64],"This":[65],"weight":[66,109],"correction":[67,110],"improves":[68],"capacity":[71,83],"networks":[74],"from":[75],"an":[76],"essentially":[77],"bounded":[78],"one":[79],"scales":[85],"linearly":[86],"network":[88],"size.":[89],"It":[90],"also":[91],"enables":[92],"multiple":[99],"levels":[100],"activity":[102],"within":[103],"single":[105],"network.":[106],"Such":[107],"successfully":[113],"carried":[114],"out":[115],"activity-dependent":[117],"homeostasis":[118],"neuron's":[121],"efficacies,":[123],"which":[124],"was":[125],"recently":[126],"observed":[127],"in":[128,153],"cortical":[129],"tissue.":[130],"Thus,":[131],"our":[132],"findings":[133],"suggest":[134],"should":[142],"accompanied":[144],"continuous":[146],"remodeling":[147],"neuronally":[149],"driven":[150],"regulatory":[151],"processes":[152],"brain.":[155]},"counts_by_year":[{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
