{"id":"https://openalex.org/W2138665783","doi":null,"title":"Correlates of Attention in a Model of Dynamic Visual Recognition","display_name":"Correlates of Attention in a Model of Dynamic Visual Recognition","publication_year":1997,"publication_date":"1997-12-01","ids":{"openalex":"https://openalex.org/W2138665783","mag":"2138665783"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.50.3618","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.3618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.cs.rochester.edu/pub/u/rao/papers/attention.ps.Z","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5002759219","display_name":"Rajesh P. N. Rao","orcid":"https://orcid.org/0000-0003-0682-8952","observed_orcids":["https://orcid.org/0000-0003-0682-8952"]},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rajesh P. N. Rao","raw_affiliation_strings":["Dept. of Computer Science, University of Rochester, Rochester, NY#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-0682-8952","affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Rochester, Rochester, NY#TAB#","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002759219"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.611,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.62645465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"80","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.6869999766349792,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.6869999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.2874000072479248,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.003800000064074993,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/visual-attention","display_name":"visual attention","score":0.9620000123977661},{"id":"https://openalex.org/keywords/robust-kalman-filtering","display_name":"robust Kalman filter","score":0.8679999709129333},{"id":"https://openalex.org/keywords/multiple-object-recognition","display_name":"multiple object recognition","score":0.7139999866485596},{"id":"https://openalex.org/keywords/occlusion","display_name":"occlusion","score":0.8149999976158142},{"id":"https://openalex.org/keywords/background-clutter","display_name":"background clutter","score":0.9679999947547913},{"id":"https://openalex.org/keywords/top-down-expectations","display_name":"top-down expectations","score":0.8859999775886536},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"visual cortex","score":0.7599999904632568},{"id":"https://openalex.org/keywords/robust-segmentation","display_name":"robust segmentation","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.69392991065979},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6836026906967163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6807355880737305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.655638575553894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5744779706001282},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5600907802581787},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5102818012237549},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.49738553166389465},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47942274808883667},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45983240008354187},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45621457695961},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4551640748977661},{"id":"https://openalex.org/C2776058522","wikidata":"https://www.wikidata.org/wiki/Q2364768","display_name":"Visual field","level":2,"score":0.45202940702438354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4477779269218445},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41686850786209106},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15448009967803955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14441081881523132},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.50.3618","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.3618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.cs.rochester.edu/pub/u/rao/papers/attention.ps.Z","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.893.9750","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.893.9750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://papers.nips.cc/paper/1416-correlates-of-attention-in-a-model-of-dynamic-visual-recognition.pdf","raw_type":"text"},{"id":"mag:2138665783","doi":null,"is_oa":false,"landing_page_url":"http://homes.cs.washington.edu/~rao/attentionNIPS.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1509278032","https://openalex.org/W1988276046","https://openalex.org/W1989987371","https://openalex.org/W2012521891","https://openalex.org/W2032677875","https://openalex.org/W2033118251","https://openalex.org/W2049633694","https://openalex.org/W2089597841","https://openalex.org/W2105934661","https://openalex.org/W2115441154","https://openalex.org/W2117686553","https://openalex.org/W2118615399","https://openalex.org/W2142843614","https://openalex.org/W2798500587","https://openalex.org/W2798534591"],"related_works":["https://openalex.org/W2148848065","https://openalex.org/W123418247","https://openalex.org/W6940595891","https://openalex.org/W162427724","https://openalex.org/W2145757868","https://openalex.org/W1581591405","https://openalex.org/W7095156856","https://openalex.org/W47762317","https://openalex.org/W7099462488","https://openalex.org/W2060267961"],"abstract_inverted_index":{"Given":[0],"a":[1,19,40,56],"set":[2],"of":[3,22,55,60,92,99,123,132,147,168,177,185,188],"objects":[4,108,178],"in":[5,52,68,82,109,155,182],"the":[6,11,12,26,53,83,90,100,110,133,166,169,183],"visual":[7,13,61,84,111,156],"field,":[8],"how":[9,120],"does":[10],"system":[14],"learn":[15],"to":[16,18,48,163,171],"attend":[17],"particular":[20],"object":[21],"interest":[23],"while":[24],"ignoring":[25],"rest?":[27],"How":[28],"are":[29,161],"occlusions":[30,189],"and":[31,76,138,175,179,190],"background":[32],"clutter":[33],"so":[34],"effortlessly":[35],"discounted":[36],"for":[37],"when":[38],"rec-ognizing":[39],"familiar":[41],"object?":[42],"In":[43],"this":[44],"paper,":[45],"we":[46,95],"attempt":[47],"answer":[49],"these":[50],"ques-tions":[51],"context":[54],"Kalman":[57,101,116],"filter-based":[58],"model":[59,103,118,142,170],"recognition":[62,176],"that":[63,104,151],"has":[64],"previously":[65],"proved":[66],"useful":[67],"explaining":[69],"certain":[70,121,148],"neurophysiological":[71],"phe-nomena":[72],"such":[73],"as":[74,128],"endstopping":[75],"related":[77],"extra-classical":[78],"receptive":[79],"field":[80,91],"ef-fects":[81],"cortex.":[85],"By":[86],"using":[87],"results":[88,160],"from":[89],"robust":[93,115,173],"statistics,":[94],"describe":[96],"an":[97,129],"extension":[98],"filter":[102,117],"can":[105,125],"handle":[106],"multiple":[107],"field.":[112],"The":[113,141],"resulting":[114],"demon-strates":[119],"forms":[122],"attention":[124],"be":[126],"viewed":[127],"emergent":[130],"prop-erty":[131],"interaction":[134],"between":[135],"top-down":[136],"expectations":[137],"bottom-up":[139],"sig-nals.":[140],"also":[143],"suggests":[144],"functional":[145],"interpretations":[146],"attention-related":[149],"effects":[150],"have":[152],"been":[153],"observed":[154],"cortical":[157],"neurons.":[158],"Exper-imental":[159],"provided":[162],"help":[164],"demonstrate":[165],"ability":[167],"perform":[172],"segmentation":[174],"image":[180],"se-quences":[181],"presence":[184],"varying":[186],"degrees":[187],"clutter.":[191],"1":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}
