{"id":"https://openalex.org/W3108221230","doi":"https://doi.org/10.1371/journal.pcbi.1006308","title":"The role of sensory uncertainty in simple contour integration","display_name":"The role of sensory uncertainty in simple contour integration","publication_year":2020,"publication_date":"2020-11-30","ids":{"openalex":"https://openalex.org/W3108221230","doi":"https://doi.org/10.1371/journal.pcbi.1006308","mag":"3108221230","pmid":"https://pubmed.ncbi.nlm.nih.gov/33253195"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1006308","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1006308","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006308&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006308&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016592576","display_name":"Yanli Zhou","orcid":"https://orcid.org/0000-0002-0350-6467"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yanli Zhou","raw_affiliation_strings":["Center for Neural Science, New York University, New York, New York, USA","Department of Psychology, New York University, New York, New York, USA"],"affiliations":[{"raw_affiliation_string":"Center for Neural Science, New York University, New York, New York, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Department of Psychology, New York University, New York, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090892103","display_name":"Luigi Acerbi","orcid":"https://orcid.org/0000-0001-7471-7336"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Luigi Acerbi","raw_affiliation_strings":["Center for Neural Science, New York University, New York, New York, USA","Department of Computer Science, University of Helsinki, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Center for Neural Science, New York University, New York, New York, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100664960","display_name":"Wei Ji","orcid":"https://orcid.org/0000-0002-9835-9083"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Ji Ma","raw_affiliation_strings":["Center for Neural Science, New York University, New York, New York, USA","Department of Psychology, New York University, New York, New York, USA"],"affiliations":[{"raw_affiliation_string":"Center for Neural Science, New York University, New York, New York, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Department of Psychology, New York University, New York, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016592576"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.2271,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.7839201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":"11","first_page":"e1006308","last_page":"e1006308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9998000264167786,"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":0.9998000264167786,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9706000089645386,"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/T12032","display_name":"Multisensory perception and integration","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6447196006774902},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6257769465446472},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5887050628662109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5750973224639893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5731745362281799},{"id":"https://openalex.org/keywords/sensory-system","display_name":"Sensory system","score":0.5711755156517029},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5603233575820923},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49223461747169495},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.46987658739089966},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.4566260576248169},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4331790804862976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4271771311759949},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4241534173488617},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.362906813621521},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17303752899169922},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.09655553102493286}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6447196006774902},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6257769465446472},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5887050628662109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5750973224639893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5731745362281799},{"id":"https://openalex.org/C94487597","wikidata":"https://www.wikidata.org/wiki/Q11101","display_name":"Sensory system","level":2,"score":0.5711755156517029},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5603233575820923},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49223461747169495},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46987658739089966},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.4566260576248169},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4331790804862976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4271771311759949},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4241534173488617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.362906813621521},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17303752899169922},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.09655553102493286},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005556","descriptor_name":"Form Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005556","descriptor_name":"Form Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005556","descriptor_name":"Form Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010465","descriptor_name":"Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010465","descriptor_name":"Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010465","descriptor_name":"Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1006308","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1006308","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006308&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:33253195","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33253195","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:doaj.org/article:729c7a55d4d946fd81ee9b317f3dc24c","is_oa":true,"landing_page_url":"https://doaj.org/article/729c7a55d4d946fd81ee9b317f3dc24c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 16, Iss 11, p e1006308 (2020)","raw_type":"article"},{"id":"pmh:oai:helda.helsinki.fi:10138/323571","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/323571","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7728286","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7728286","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1006308","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1006308","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006308&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G373268920","display_name":null,"funder_award_id":"R01EY026927","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"}],"funders":[{"id":"https://openalex.org/F4320337350","display_name":"National Eye Institute","ror":"https://ror.org/03wkg3b53"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3108221230.pdf","grobid_xml":"https://content.openalex.org/works/W3108221230.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W32980360","https://openalex.org/W55848811","https://openalex.org/W388780593","https://openalex.org/W1456921974","https://openalex.org/W1509562192","https://openalex.org/W1562206072","https://openalex.org/W1607198972","https://openalex.org/W1969090956","https://openalex.org/W1986400713","https://openalex.org/W1989388297","https://openalex.org/W1995897755","https://openalex.org/W2006056627","https://openalex.org/W2009404864","https://openalex.org/W2017108196","https://openalex.org/W2017357931","https://openalex.org/W2023688891","https://openalex.org/W2025175823","https://openalex.org/W2031120389","https://openalex.org/W2034546031","https://openalex.org/W2034836133","https://openalex.org/W2035550654","https://openalex.org/W2040209392","https://openalex.org/W2043554950","https://openalex.org/W2045656233","https://openalex.org/W2050878336","https://openalex.org/W2062526841","https://openalex.org/W2063440895","https://openalex.org/W2064658612","https://openalex.org/W2067822263","https://openalex.org/W2072262638","https://openalex.org/W2081356243","https://openalex.org/W2084528670","https://openalex.org/W2089105472","https://openalex.org/W2096016260","https://openalex.org/W2102698308","https://openalex.org/W2106145030","https://openalex.org/W2110530799","https://openalex.org/W2117215414","https://openalex.org/W2118354656","https://openalex.org/W2125663122","https://openalex.org/W2126517582","https://openalex.org/W2133410812","https://openalex.org/W2135173838","https://openalex.org/W2138709941","https://openalex.org/W2141467654","https://openalex.org/W2141516486","https://openalex.org/W2147565549","https://openalex.org/W2150658821","https://openalex.org/W2152437364","https://openalex.org/W2156707826","https://openalex.org/W2157745749","https://openalex.org/W2203714058","https://openalex.org/W2327041912","https://openalex.org/W2375262830","https://openalex.org/W2536729587","https://openalex.org/W2558230882","https://openalex.org/W2579983003","https://openalex.org/W2610253745","https://openalex.org/W2613715194","https://openalex.org/W2790916085","https://openalex.org/W2896195182","https://openalex.org/W2939440148","https://openalex.org/W2949885588","https://openalex.org/W2949977326","https://openalex.org/W2950975704","https://openalex.org/W2956814642","https://openalex.org/W2963054961","https://openalex.org/W3037265734","https://openalex.org/W3123421154","https://openalex.org/W3140968660","https://openalex.org/W4234487882","https://openalex.org/W4248681815","https://openalex.org/W4289256091","https://openalex.org/W4294214781","https://openalex.org/W4299551239"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W4400595174","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386"],"abstract_inverted_index":{"Perceptual":[0],"organization":[1],"is":[2,15,70,99,115,194],"the":[3,61,64,67,88,93,102,174,191,219,239],"process":[4],"of":[5,43,49,57,79,96,101,105,112,146,176,238,241],"grouping":[6,31],"scene":[7,34],"elements":[8],"into":[9,179,224],"whole":[10,68],"entities.":[11],"A":[12,169],"classic":[13,40],"example":[14],"contour":[16,44,127,147],"integration,":[17,45,128,148],"in":[18,29,55,126,142,218,244],"which":[19],"separate":[20],"line":[21,153,192],"segments":[22,154,193],"are":[23,159],"perceived":[24],"as":[25,129],"continuous":[26],"contours.":[27],"Uncertainty":[28],"such":[30],"arises":[32],"from":[33,210],"ambiguity":[35],"and":[36,46],"sensory":[37,85,113,163,177,200,226,242],"noise.":[38,201],"Some":[39],"Gestalt":[41],"principles":[42],"more":[47],"broadly,":[48],"perceptual":[50,80,97],"organization,":[51,81],"have":[52,83],"been":[53],"re-framed":[54],"terms":[56],"Bayesian":[58,77,106,124,211],"inference,":[59],"whereby":[60],"observer":[62,171],"computes":[63],"probability":[65],"that":[66,74,90,204,221],"entity":[69],"present.":[71],"Previous":[72],"studies":[73],"proposed":[75],"a":[76,116,143,181,187,229],"interpretation":[78],"however,":[82],"ignored":[84],"uncertainty,":[86],"despite":[87],"fact":[89],"accounting":[91],"for":[92],"current":[94],"level":[95,175],"uncertainty":[98,114,164,178,227,243],"one":[100],"main":[103],"signatures":[104],"decision":[107],"making.":[108],"Crucially,":[109],"trial-by-trial":[110],"manipulation":[111],"key":[117],"test":[118],"to":[119,131,196,199,235],"whether":[120,151,186],"humans":[121],"perform":[122],"near-optimal":[123],"inference":[125],"opposed":[130],"using":[132],"some":[133],"manifestly":[134],"non-Bayesian":[135],"heuristic.":[136],"We":[137,161,202],"distinguish":[138],"between":[139,190],"these":[140],"hypotheses":[141],"simplified":[144],"form":[145],"namely":[149],"judging":[150],"two":[152],"separated":[155],"by":[156,165],"an":[157,236],"occluder":[158],"collinear.":[160],"manipulate":[162],"varying":[166],"retinal":[167],"eccentricity.":[168],"Bayes-optimal":[170],"would":[172],"take":[173,223],"account-in":[180],"very":[182],"specific":[183],"way-in":[184],"deciding":[185],"measured":[188],"offset":[189],"due":[195],"non-collinearity":[197],"or":[198],"find":[203],"people":[205],"deviate":[206],"slightly":[207],"but":[208],"systematically":[209],"optimality,":[212],"while":[213],"still":[214],"performing":[215],"\"probabilistic":[216],"computation\"":[217],"sense":[220],"they":[222],"account":[225],"via":[228],"heuristic":[230],"rule.":[231],"Our":[232],"work":[233],"contributes":[234],"understanding":[237],"role":[240],"higher-order":[245],"perception.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}