{"id":"https://openalex.org/W2128796707","doi":"https://doi.org/10.1109/tnn.2003.813822","title":"Competition and cooperation in neuronal processing","display_name":"Competition and cooperation in neuronal processing","publication_year":2003,"publication_date":"2003-07-01","ids":{"openalex":"https://openalex.org/W2128796707","doi":"https://doi.org/10.1109/tnn.2003.813822","mag":"2128796707","pmid":"https://pubmed.ncbi.nlm.nih.gov/18238066"},"language":"en","primary_location":{"id":"doi:10.1109/tnn.2003.813822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2003.813822","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks","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/A5071502133","display_name":"Haim Bar","orcid":"https://orcid.org/0000-0002-5496-9699"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Bar","raw_affiliation_strings":["Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA","Department of Computer Science, Yale University, New Heaven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Computer Science, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110079231","display_name":"W. L. Miranker","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W.L. Miranker","raw_affiliation_strings":["Department of Computer Science, Yale University, New Heaven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057470732","display_name":"A. Ambash","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Ambash","raw_affiliation_strings":["Department of Computer Science, Yale University, New Heaven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56785787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"4","first_page":"860","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"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":0.9994999766349792,"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/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7452883124351501},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.7304251194000244},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.6739691495895386},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.6075385808944702},{"id":"https://openalex.org/keywords/bidirectional-associative-memory","display_name":"Bidirectional associative memory","score":0.5661011934280396},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5244972109794617},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4369589388370514},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.42042970657348633},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3827277421951294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3683260381221771},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.22058865427970886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13577821850776672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7452883124351501},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.7304251194000244},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.6739691495895386},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.6075385808944702},{"id":"https://openalex.org/C120620853","wikidata":"https://www.wikidata.org/wiki/Q506355","display_name":"Bidirectional associative memory","level":4,"score":0.5661011934280396},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5244972109794617},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4369589388370514},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.42042970657348633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3827277421951294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3683260381221771},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.22058865427970886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13577821850776672},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnn.2003.813822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2003.813822","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks","raw_type":"journal-article"},{"id":"pmid:18238066","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18238066","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":"IEEE transactions on neural networks","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W320786851","https://openalex.org/W603418875","https://openalex.org/W1539686131","https://openalex.org/W1588537248","https://openalex.org/W1971156703","https://openalex.org/W1988878611","https://openalex.org/W2044274710","https://openalex.org/W2059148040","https://openalex.org/W2064332540","https://openalex.org/W2124776405","https://openalex.org/W2285257517","https://openalex.org/W2334525156","https://openalex.org/W2568888042","https://openalex.org/W2768559515","https://openalex.org/W2994602346","https://openalex.org/W3148499377","https://openalex.org/W4205671903","https://openalex.org/W4237454176","https://openalex.org/W4242962815","https://openalex.org/W4298028598"],"related_works":["https://openalex.org/W1987836535","https://openalex.org/W4321273133","https://openalex.org/W2109892802","https://openalex.org/W1503438809","https://openalex.org/W2769111744","https://openalex.org/W1536116856","https://openalex.org/W2260028708","https://openalex.org/W2050720944","https://openalex.org/W2120558138","https://openalex.org/W2147932521"],"abstract_inverted_index":{"A":[0,104],"new":[1],"type":[2],"of":[3,12,22,32,39,57,87,98,101,116],"model":[4,51,59,106],"neuron":[5,118],"is":[6,75,107,133],"introduced":[7],"as":[8],"a":[9,20,36,76,84,99],"building":[10],"block":[11],"an":[13,67,136],"associative":[14,95],"memory.":[15],"The":[16,94],"neuron,":[17],"which":[18],"has":[19],"number":[21,38],"receptor":[23],"zones,":[24],"processes":[25],"both":[26],"the":[27,30,54,62,88,92,111,117,120,131],"amplitude":[28],"and":[29,119,122,127],"frequency":[31],"input":[33,48],"signals,":[34],"associating":[35],"small":[37],"features":[40],"encoded":[41],"by":[42],"those":[43],"signals.":[44],"Using":[45],"this":[46],"two-parameter":[47],"in":[49,80,135],"our":[50,72],"compared":[52],"to":[53,90,109,139],"one-dimensional":[55],"inputs":[56,79],"conventional":[58],"neurons":[60],"(e.g.,":[61],"McCulloch":[63],"Pitts":[64],"neuron)":[65],"offers":[66],"increased":[68],"memory":[69,96],"capacity.":[70],"In":[71],"model,":[73],"there":[74],"competition":[77],"among":[78],"each":[81],"zone":[82],"with":[83],"subsequent":[85],"cooperation":[86],"winners":[89],"specify":[91],"output.":[93],"consists":[97],"network":[100,121,132],"such":[102],"neurons.":[103],"state-space":[105],"used":[108,134],"define":[110],"neurodynamics.":[112],"We":[113],"explore":[114],"properties":[115],"demonstrate":[123],"its":[124],"favorable":[125],"capacity":[126],"recall":[128],"capabilities.":[129],"Finally,":[130],"application":[137],"designed":[138],"find":[140],"trademarks":[141],"that":[142],"sound":[143],"alike.":[144]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}