{"id":"https://openalex.org/W2153616841","doi":"https://doi.org/10.1109/tamd.2010.2053365","title":"Top\u2013Down Gaze Movement Control in Target Search Using Population Cell Coding of Visual Context","display_name":"Top\u2013Down Gaze Movement Control in Target Search Using Population Cell Coding of Visual Context","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2153616841","doi":"https://doi.org/10.1109/tamd.2010.2053365","mag":"2153616841"},"language":"en","primary_location":{"id":"doi:10.1109/tamd.2010.2053365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tamd.2010.2053365","pdf_url":null,"source":{"id":"https://openalex.org/S108448409","display_name":"IEEE Transactions on Autonomous Mental Development","issn_l":"1943-0604","issn":["1943-0604","1943-0612"],"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 Autonomous Mental Development","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/A5100786227","display_name":"Jun Miao","orcid":"https://orcid.org/0000-0003-0344-7871"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Miao","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010557705","display_name":"Laiyun Qing","orcid":"https://orcid.org/0000-0001-9923-5034"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laiyun Qing","raw_affiliation_strings":["School of Information Science and Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051543863","display_name":"Baixian Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baixian Zou","raw_affiliation_strings":["Department of Information Science and Technology, College of Arts and Science, Beijing Union University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, College of Arts and Science, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903296","display_name":"Lijuan Duan","orcid":"https://orcid.org/0000-0003-3744-3668"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Duan","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100786227"],"corresponding_institution_ids":["https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.6465,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73331424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":"3","first_page":"196","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.996999979019165,"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/T10691","display_name":"Retinal Development and Disorders","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9901000261306763,"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":0.7485178112983704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639028012752533},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6039521098136902},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5629664659500122},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5260909795761108},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5252955555915833},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4761526584625244},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4474326968193054},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4465378522872925},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43271690607070923},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.42552968859672546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37735244631767273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0973978340625763},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09737071394920349},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08993113040924072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7485178112983704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639028012752533},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6039521098136902},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5629664659500122},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5260909795761108},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5252955555915833},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4761526584625244},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4474326968193054},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4465378522872925},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43271690607070923},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.42552968859672546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37735244631767273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0973978340625763},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09737071394920349},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08993113040924072},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"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/tamd.2010.2053365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tamd.2010.2053365","pdf_url":null,"source":{"id":"https://openalex.org/S108448409","display_name":"IEEE Transactions on Autonomous Mental Development","issn_l":"1943-0604","issn":["1943-0604","1943-0612"],"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 Autonomous Mental Development","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.722.8367","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.722.8367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jdl.ac.cn/doc/2010/IEEE-TAMD_Top-down%20gaze%20movement%20control%20in%20target%20search%20using%20population%20cell%20coding%20of%20visual%20context.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W76038756","https://openalex.org/W274985342","https://openalex.org/W576881103","https://openalex.org/W1503483822","https://openalex.org/W1503485835","https://openalex.org/W1506801240","https://openalex.org/W1523723941","https://openalex.org/W1538622809","https://openalex.org/W1540330701","https://openalex.org/W1545641654","https://openalex.org/W1554944419","https://openalex.org/W1662558206","https://openalex.org/W1902027874","https://openalex.org/W1915170126","https://openalex.org/W1965903500","https://openalex.org/W1967087917","https://openalex.org/W1968001820","https://openalex.org/W1973510058","https://openalex.org/W1984722393","https://openalex.org/W1989869076","https://openalex.org/W1994644455","https://openalex.org/W1999282397","https://openalex.org/W2009166381","https://openalex.org/W2024530670","https://openalex.org/W2038813826","https://openalex.org/W2049054924","https://openalex.org/W2089597841","https://openalex.org/W2096133120","https://openalex.org/W2097989758","https://openalex.org/W2098355199","https://openalex.org/W2101162742","https://openalex.org/W2104238650","https://openalex.org/W2105464873","https://openalex.org/W2106848651","https://openalex.org/W2109884388","https://openalex.org/W2116365953","https://openalex.org/W2120284346","https://openalex.org/W2122079553","https://openalex.org/W2124351082","https://openalex.org/W2124776405","https://openalex.org/W2131673214","https://openalex.org/W2136166259","https://openalex.org/W2136869398","https://openalex.org/W2137234026","https://openalex.org/W2141435707","https://openalex.org/W2141474346","https://openalex.org/W2143468534","https://openalex.org/W2144680614","https://openalex.org/W2153839765","https://openalex.org/W2155014332","https://openalex.org/W2155511848","https://openalex.org/W2156909104","https://openalex.org/W2156940638","https://openalex.org/W2165626265","https://openalex.org/W2165744911","https://openalex.org/W2166761907","https://openalex.org/W2169561119","https://openalex.org/W2171033594","https://openalex.org/W2588543737","https://openalex.org/W2904367177","https://openalex.org/W2913340405","https://openalex.org/W2914746235","https://openalex.org/W3097096317","https://openalex.org/W4285719527","https://openalex.org/W6632636493","https://openalex.org/W6636987375","https://openalex.org/W6674646328","https://openalex.org/W6675493376","https://openalex.org/W6679774445","https://openalex.org/W6682788779","https://openalex.org/W6682974852","https://openalex.org/W6684745935"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W1910862367","https://openalex.org/W1508050556","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W2947588442","https://openalex.org/W55249799"],"abstract_inverted_index":{"Visual":[0],"context":[1,25,69,101,106,176],"plays":[2],"an":[3,31],"important":[4],"role":[5],"in":[6,20,48,58,77,88,112,160],"humans'":[7],"top-down":[8,52,114],"gaze":[9,123],"movement":[10],"control":[11,54,121],"for":[12,51,67],"target":[13,142],"searching.":[14],"Exploring":[15],"the":[16,118,122,126,129,173,188],"mental":[17],"development":[18],"mechanism":[19,66,85],"terms":[21],"of":[22,128,153],"incremental":[23],"visual":[24,43,68,100,175],"encoding":[26,70,138,177],"by":[27,91,150],"population":[28,63,110],"cells":[29],"is":[30,182],"interesting":[32],"issue.":[33],"This":[34,116],"paper":[35],"presents":[36],"a":[37,62,78,113,151,161],"biologically":[38],"inspired":[39],"computational":[40],"model.":[41],"The":[42,73,104,131],"contextual":[44],"cues":[45],"were":[46],"used":[47],"this":[49,89],"model":[50,74,119,132],"eye-motion":[53],"on":[55],"searching":[56],"targets":[57],"images.":[59],"We":[60],"proposed":[61,174],"cell":[64],"coding":[65,95,190,196],"and":[71,140,168,185,187,197],"decoding.":[72],"was":[75,86,107,133],"implemented":[76],"neural":[79],"network":[80],"system.":[81],"A":[82],"developmental":[83],"learning":[84],"simulated":[87],"system":[90],"dynamically":[92],"generating":[93],"new":[94],"neurons":[96,111],"to":[97,120,125,155],"incrementally":[98],"encode":[99],"during":[102],"training.":[103],"encoded":[105],"decoded":[108],"with":[109,135],"mode.":[115],"allowed":[117],"motion":[124],"centers":[127],"targets.":[130],"developed":[134],"pursuing":[136],"low":[137],"quantity":[139],"high":[141],"locating":[143],"accuracy.":[144],"Its":[145],"performance":[146],"has":[147],"been":[148],"evaluated":[149],"set":[152],"experiments":[154],"search":[156],"different":[157],"facial":[158],"objects":[159],"human":[162],"face":[163],"image":[164],"set.":[165],"Theoretical":[166],"analysis":[167],"experimental":[169],"results":[170],"show":[171],"that":[172],"algorithm":[178],"without":[179],"weight":[180],"updating":[181],"fast,":[183],"efficient":[184],"stable,":[186],"population-cell":[189],"generally":[191],"performs":[192],"better":[193],"than":[194],"single-cell":[195],"k-nearest-neighbor":[198],"(k-NN)-based":[199],"coding.":[200]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
