{"id":"https://openalex.org/W1988240427","doi":"https://doi.org/10.1109/devlrn.2010.5578839","title":"How can bottom-up information shape learning of top-down attention-control skills?","display_name":"How can bottom-up information shape learning of top-down attention-control skills?","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W1988240427","doi":"https://doi.org/10.1109/devlrn.2010.5578839","mag":"1988240427"},"language":"en","primary_location":{"id":"doi:10.1109/devlrn.2010.5578839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2010.5578839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 9th International Conference on Development and Learning","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068529617","display_name":"Dimitri Ognibene","orcid":"https://orcid.org/0000-0002-9454-680X"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210166865","display_name":"Institute of Cognitive Sciences and Technologies","ror":"https://ror.org/05w9g2j85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210166865"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dimitri Ognibene","raw_affiliation_strings":["Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nationale delle Ricerche, Roma, Italy","Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Via San, Martino della Battaglia 44, I-00185 Roma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nationale delle Ricerche, Roma, Italy","institution_ids":["https://openalex.org/I4210166865"]},{"raw_affiliation_string":"Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Via San, Martino della Battaglia 44, I-00185 Roma, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210166865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053290697","display_name":"Giovanni Pezzulo","orcid":"https://orcid.org/0000-0001-6813-8282"},"institutions":[{"id":"https://openalex.org/I4210124522","display_name":"Institute for Computational Linguistics \u201cA. Zampolli\u201d","ror":"https://ror.org/028g3pe33","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210124522","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Pezzulo","raw_affiliation_strings":["Zampolli Consiglio Nazionale delle Ricerche, Istituto di Linguistica Computazionale Antonio, Pisa, Italy","Istituto di Linguistica Computazionale Antonio, Zampolli Consiglio Nazionale delle Ricerche Via Giuseppe Moruzzi, 1 - 56124 Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zampolli Consiglio Nazionale delle Ricerche, Istituto di Linguistica Computazionale Antonio, Pisa, Italy","institution_ids":["https://openalex.org/I4210124522"]},{"raw_affiliation_string":"Istituto di Linguistica Computazionale Antonio, Zampolli Consiglio Nazionale delle Ricerche Via Giuseppe Moruzzi, 1 - 56124 Pisa, Italy","institution_ids":["https://openalex.org/I4210124522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076711458","display_name":"Gianluca Baldassarre","orcid":"https://orcid.org/0000-0002-1277-4447"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210166865","display_name":"Institute of Cognitive Sciences and Technologies","ror":"https://ror.org/05w9g2j85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210166865"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluca Baldassarre","raw_affiliation_strings":["Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nationale delle Ricerche, Roma, Italy","Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Via San, Martino della Battaglia 44, I-00185 Roma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nationale delle Ricerche, Roma, Italy","institution_ids":["https://openalex.org/I4210166865"]},{"raw_affiliation_string":"Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Via San, Martino della Battaglia 44, I-00185 Roma, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210166865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"80","issue":null,"first_page":"231","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9983000159263611,"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/top-down-and-bottom-up-design","display_name":"Top-down and bottom-up design","score":0.7935548424720764},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.677951455116272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6715282201766968},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6086329221725464},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5713151693344116},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5659236311912537},{"id":"https://openalex.org/keywords/attentional-control","display_name":"Attentional control","score":0.5043658018112183},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.48426979780197144},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.44866666197776794},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.41271042823791504},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.37611591815948486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32536983489990234},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.26340508460998535},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18899312615394592}],"concepts":[{"id":"https://openalex.org/C135798126","wikidata":"https://www.wikidata.org/wiki/Q2167279","display_name":"Top-down and bottom-up design","level":2,"score":0.7935548424720764},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.677951455116272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6715282201766968},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6086329221725464},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5713151693344116},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5659236311912537},{"id":"https://openalex.org/C126139899","wikidata":"https://www.wikidata.org/wiki/Q4818236","display_name":"Attentional control","level":3,"score":0.5043658018112183},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.48426979780197144},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.44866666197776794},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41271042823791504},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.37611591815948486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32536983489990234},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.26340508460998535},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18899312615394592},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/devlrn.2010.5578839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2010.5578839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 9th International Conference on Development and Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:boa.unimib.it:10281/301923","is_oa":false,"landing_page_url":"http://hdl.handle.net/10281/301923","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W85152245","https://openalex.org/W1564312157","https://openalex.org/W1597752419","https://openalex.org/W1989869076","https://openalex.org/W1992694071","https://openalex.org/W2000617596","https://openalex.org/W2012036715","https://openalex.org/W2019432365","https://openalex.org/W2020630703","https://openalex.org/W2025220658","https://openalex.org/W2028013073","https://openalex.org/W2042907834","https://openalex.org/W2053381765","https://openalex.org/W2067147689","https://openalex.org/W2091005670","https://openalex.org/W2098086734","https://openalex.org/W2099128991","https://openalex.org/W2101385552","https://openalex.org/W2105294045","https://openalex.org/W2112414411","https://openalex.org/W2115887268","https://openalex.org/W2126231638","https://openalex.org/W2134705760","https://openalex.org/W2137539096","https://openalex.org/W2139734816","https://openalex.org/W2141474346","https://openalex.org/W2143307458","https://openalex.org/W2144764737","https://openalex.org/W2153839765","https://openalex.org/W2162188269","https://openalex.org/W2911283634","https://openalex.org/W2914656440","https://openalex.org/W4211165038"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W3207760378","https://openalex.org/W4386072035","https://openalex.org/W2562758970","https://openalex.org/W4254357632","https://openalex.org/W3198097296","https://openalex.org/W2803393635"],"abstract_inverted_index":{"How":[0],"does":[1],"bottom-up":[2,83,122,145,167,221],"information":[3],"affect":[4],"the":[5,13,20,28,63,119,127,148,151,191,194,201,209,217,234],"development":[6,64,128],"of":[7,15,65,129,139,150,193,211,236],"top-down":[8,89,124],"attentional":[9,187],"control":[10,67,132],"skills":[11,133],"during":[12,180,233,242],"learning":[14],"visuomotor":[16],"tasks?":[17],"Why":[18],"is":[19,34,45,78],"eye":[21],"fovea":[22,195],"so":[23],"small?":[24],"Strong":[25],"evidence":[26],"supports":[27,126],"idea":[29],"that":[30,220],"in":[31,68,229],"humans":[32],"foveation":[33],"mainly":[35],"guided":[36],"by":[37,134,156],"task-specific":[38,94,130,154,238],"skills,":[39,239],"but":[40,199,240],"how":[41],"these":[42],"are":[43],"learned":[44],"still":[46],"an":[47,136],"important":[48],"open":[49],"problem.":[50],"We":[51],"designed":[52],"and":[53,87,100,123,174,208],"implemented":[54],"a":[55,69,81,88,226],"simulated":[56],"neural":[57],"eye-arm":[58],"coordination":[59],"model":[60,77],"to":[61,214],"study":[62],"attention":[66,84,90,131,222,230],"search-and-reach":[70],"task":[71,243],"involving":[72],"simple":[73],"coloured":[74],"stimuli.":[75],"The":[76],"endowed":[79],"with":[80],"hard-wired":[82],"saliency":[85],"map":[86],"component":[91],"which":[92],"acquires":[93],"knowledge":[95,155],"on":[96],"potential":[97],"gaze":[98,142],"targets":[99],"their":[101,172,175],"spatial":[102],"relations.":[103],"This":[104],"architecture":[105],"achieves":[106],"high":[107],"performance":[108],"very":[109],"fast.":[110],"To":[111],"explain":[112],"this":[113],"result,":[114],"we":[115],"argue":[116],"that:":[117],"(a)":[118],"interaction":[120],"between":[121],"mechanisms":[125,146,223],"allowing":[135],"efficient":[137],"exploration":[138],"potentially":[140],"useful":[141,186],"targets;":[143],"(b)":[144],"boast":[147],"exploitation":[149],"initial":[152],"limited":[153],"actively":[157],"selecting":[158],"areas":[159],"where":[160],"it":[161],"can":[162,178,184,224],"be":[163],"suitably":[164],"applied;":[165],"(c)":[166],"processes":[168],"shape":[169],"objects":[170],"representation,":[171],"value,":[173],"roles":[176],"(these":[177],"change":[179],"learning,":[181],"e.g.":[182],"distractors":[183],"become":[185],"cues);":[188],"(d)":[189],"increasing":[190],"size":[192],"alleviates":[196],"perceptual":[197],"aliasing,":[198],"at":[200],"same":[202],"time":[203],"increases":[204],"input":[205],"processing":[206],"costs":[207],"number":[210],"trials":[212],"required":[213],"learn.":[215],"Overall,":[216],"results":[218],"indicate":[219],"play":[225],"relevant":[227],"role":[228],"control,":[231],"especially":[232],"acquisition":[235],"new":[237],"also":[241],"performance.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}