{"id":"https://openalex.org/W1865253942","doi":"https://doi.org/10.1109/ijcnn.2003.1223348","title":"Using temporal binding for connectionist recruitment learning over delayed lines","display_name":"Using temporal binding for connectionist recruitment learning over delayed lines","publication_year":2004,"publication_date":"2004-01-24","ids":{"openalex":"https://openalex.org/W1865253942","doi":"https://doi.org/10.1109/ijcnn.2003.1223348","mag":"1865253942"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5059693945","display_name":"Cengiz G\u00fcnay","orcid":"https://orcid.org/0000-0001-7586-571X"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C. Gunay","raw_affiliation_strings":["Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA, U.S.A","Center For Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA, U.S.A","institution_ids":[]},{"raw_affiliation_string":"Center For Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075357799","display_name":"Anthony S. Maida","orcid":"https://orcid.org/0000-0003-2586-2865"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A.S. Maida","raw_affiliation_strings":["Institute of Cognitive Science, University of Louisiana at Lafayette, Lafayette, LA, U.S.A","Center For Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA"],"affiliations":[{"raw_affiliation_string":"Institute of Cognitive Science, University of Louisiana at Lafayette, Lafayette, LA, U.S.A","institution_ids":[]},{"raw_affiliation_string":"Center For Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059693945"],"corresponding_institution_ids":["https://openalex.org/I79516672"],"apc_list":null,"apc_paid":null,"fwci":0.2912,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54440048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"224","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":1.0,"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":1.0,"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":0.9952999949455261,"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/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/spurious-relationship","display_name":"Spurious relationship","score":0.8454623222351074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7145710587501526},{"id":"https://openalex.org/keywords/connectionism","display_name":"Connectionism","score":0.6964232921600342},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.561459481716156},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.5483969449996948},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4852606952190399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44027066230773926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3012448251247406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25811976194381714},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24149656295776367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11506563425064087},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09731787443161011},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08298143744468689}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8454623222351074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7145710587501526},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.6964232921600342},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.561459481716156},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.5483969449996948},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4852606952190399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44027066230773926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3012448251247406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25811976194381714},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24149656295776367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11506563425064087},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09731787443161011},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08298143744468689},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.13.9700","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.9700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cacs.louisiana.edu/~cxg9789/Neuroidal/ijcnn03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310142","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W148034138","https://openalex.org/W1489829810","https://openalex.org/W1517673436","https://openalex.org/W1526844937","https://openalex.org/W1527137186","https://openalex.org/W1535782774","https://openalex.org/W1539683305","https://openalex.org/W1542442956","https://openalex.org/W1562210941","https://openalex.org/W1564441558","https://openalex.org/W1565369861","https://openalex.org/W1581095529","https://openalex.org/W1581789173","https://openalex.org/W1608763299","https://openalex.org/W1644882639","https://openalex.org/W1797265963","https://openalex.org/W1804155126","https://openalex.org/W1892586471","https://openalex.org/W1960126959","https://openalex.org/W1973116443","https://openalex.org/W1979440055","https://openalex.org/W1979741733","https://openalex.org/W1980658026","https://openalex.org/W1989600183","https://openalex.org/W1993802286","https://openalex.org/W2005973741","https://openalex.org/W2006863141","https://openalex.org/W2007989322","https://openalex.org/W2008353316","https://openalex.org/W2011647584","https://openalex.org/W2019363670","https://openalex.org/W2022707775","https://openalex.org/W2024390075","https://openalex.org/W2035051040","https://openalex.org/W2035947495","https://openalex.org/W2049236887","https://openalex.org/W2058491602","https://openalex.org/W2073435713","https://openalex.org/W2079948225","https://openalex.org/W2081443570","https://openalex.org/W2085415665","https://openalex.org/W2087488296","https://openalex.org/W2088563966","https://openalex.org/W2093867260","https://openalex.org/W2102797575","https://openalex.org/W2106164503","https://openalex.org/W2112332687","https://openalex.org/W2119132304","https://openalex.org/W2120907531","https://openalex.org/W2122308921","https://openalex.org/W2122410182","https://openalex.org/W2134915081","https://openalex.org/W2156046656","https://openalex.org/W2159438800","https://openalex.org/W2163175547","https://openalex.org/W2166008450","https://openalex.org/W2170053768","https://openalex.org/W2197000251","https://openalex.org/W2285467637","https://openalex.org/W2738362794","https://openalex.org/W2913907444","https://openalex.org/W4244194142","https://openalex.org/W4388332177","https://openalex.org/W6759079918"],"related_works":["https://openalex.org/W2162899405","https://openalex.org/W3113091479","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2519167559","https://openalex.org/W2075065631","https://openalex.org/W4288358396","https://openalex.org/W4311248832"],"abstract_inverted_index":{"The":[0,73],"temporal":[1,97,134],"correlation":[2],"hypothesis":[3],"proposes":[4],"using":[5],"distributed":[6],"synchrony":[7,38],"for":[8,56],"the":[9,32,76,88,94,131,165],"binding":[10,45,98,135],"stimulus":[11],"features.":[12],"However,":[13],"synchronized":[14],"spikes":[15],"must":[16],"travel":[17],"over":[18,172],"cortical":[19,61],"circuits":[20],"that":[21,155],"have":[22],"varying-length":[23],"pathways,":[24],"leading":[25],"to":[26,63,86,99,129],"mismatched":[27],"arrival":[28],"times.":[29],"This":[30],"raises":[31],"question":[33,66],"of":[34,75,96,103,167,174],"how":[35],"initial":[36],"stimulus-dependent":[37],"might":[39],"be":[40],"preserved":[41],"at":[42],"a":[43,57,101,109,143],"destination":[44],"site.":[46],"Earlier,":[47],"we":[48,82,92,141],"proposed":[49,89,163],"constraints":[50],"on":[51,108,119],"tolerance":[52,157],"and":[53,136,158],"segregation":[54,159],"parameters":[55,160],"phase-coding":[58],"approach,":[59],"within":[60],"circuits,":[62],"address":[64],"this":[65],"[C.":[67],"Gunay":[68],"et.":[69],"al.,":[70],"July":[71],"2001]":[72],"purpose":[74],"present":[77],"paper":[78],"is":[79,127],"twofold.":[80],"First,":[81],"conduct":[83],"simulation":[84],"experiments":[85],"test":[87],"constraints.":[90],"Second,":[91],"explore":[93],"practicality":[95],"drive":[100],"process":[102],"long-term":[104],"memory":[105],"formation":[106],"based":[107,118],"recruitment":[110],"learning":[111,145],"method":[112],"[J.A.":[113],"Feldman,":[114],"1982].":[115],"A":[116],"network":[117],"Valiant's":[120],"neuroidal":[121],"architecture":[122],"[Leslie":[123],"G.":[124],"Valiant,":[125],"1994]":[126],"used":[128],"demonstrate":[130],"coalition":[132],"between":[133],"recruitment.":[137],"Complementing":[138],"similar":[139],"approaches,":[140],"implement":[142],"continuous-time":[144],"procedure":[146],"allowing":[147],"computation":[148],"with":[149],"spiking":[150],"neurons.":[151],"Our":[152],"results":[153],"indicate":[154],"when":[156],"obey":[161],"our":[162],"constraints,":[164],"assemblies":[166,173],"correct":[168],"bindings":[169,176],"are":[170],"dominant":[171],"spurious":[175],"in":[177],"reasonable":[178],"operating":[179],"conditions.":[180]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
