{"id":"https://openalex.org/W2404625266","doi":null,"title":"Sequential effects: A Bayesian analysis of prior bias on reaction time and behavioral choice","display_name":"Sequential effects: A Bayesian analysis of prior bias on reaction time and behavioral choice","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2404625266","mag":"2404625266"},"language":"en","primary_location":{"id":"pmh:oai:escholarship.org/ark:/13030/qt9jp3j5c7","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/9jp3j5c7","pdf_url":"https://escholarship.org/uc/item/9jp3j5c7","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 36, iss 36","raw_type":"article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/uc/item/9jp3j5c7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101790342","display_name":"Shunan Zhang","orcid":"https://orcid.org/0000-0003-3875-1849","observed_orcids":["https://orcid.org/0000-0003-3875-1849"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shunan Zhang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3875-1849","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035675058","display_name":"He Huang","orcid":"https://orcid.org/0000-0002-9257-8023","observed_orcids":["https://orcid.org/0000-0002-9257-8023"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He Huang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9257-8023","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113627744","display_name":"Angela J. Yu","orcid":"https://orcid.org/0000-0002-4154-1052","observed_orcids":["https://orcid.org/0000-0002-4154-1052"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angela J. Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.766,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.70203901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"36","issue":"36","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.6797000169754028,"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/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.6797000169754028,"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.10719999670982361,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.0763000026345253,"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/sequential-effects","display_name":"sequential effects","score":0.9909999966621399},{"id":"https://openalex.org/keywords/prior-bias","display_name":"prior bias","score":0.9039999842643738},{"id":"https://openalex.org/keywords/bayesian-learning","display_name":"Bayesian learning","score":0.7580000162124634},{"id":"https://openalex.org/keywords/reaction-time","display_name":"reaction time","score":0.8429999947547913},{"id":"https://openalex.org/keywords/choice-accuracy","display_name":"choice accuracy","score":0.8429999947547913},{"id":"https://openalex.org/keywords/drift-diffusion-model","display_name":"drift-diffusion model","score":0.9169999957084656},{"id":"https://openalex.org/keywords/trial-by-trial-learning","display_name":"trial-by-trial learning","score":0.871999979019165},{"id":"https://openalex.org/keywords/superstition","display_name":"superstition","score":0.718999981880188},{"id":"https://openalex.org/keywords/pattern-detection","display_name":"pattern detection","score":0.4729999899864197},{"id":"https://openalex.org/keywords/individual-differences","display_name":"individual differences","score":0.8730000257492065}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6617687344551086},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.5989890694618225},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5965715646743774},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4864932894706726},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4592786133289337},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4572787284851074},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.42420512437820435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23677480220794678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21524390578269958},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1616462767124176}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:escholarship.org/ark:/13030/qt9jp3j5c7","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/9jp3j5c7","pdf_url":"https://escholarship.org/uc/item/9jp3j5c7","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 36, iss 36","raw_type":"article"},{"id":"pmh:qt9jp3j5c7","doi":null,"is_oa":true,"landing_page_url":"http://www.escholarship.org/uc/item/9jp3j5c7","pdf_url":"http://www.escholarship.org/uc/item/9jp3j5c7","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhang, Shunan; Huang, He Crane; &amp; Yu, Angela J.(2014). Sequential effects: A Bayesian analysis of prior bias on reaction time and behavioral choice. Proceedings of the Cognitive Science Society, 36(36). Retrieved from: http://www.escholarship.org/uc/item/9jp3j5c7","raw_type":"article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.708.705","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.708.705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cogsci.ucsd.edu/%7Es6zhang/publications/cogsci14.pdf","raw_type":"text"},{"id":"mag:2404625266","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/content/qt9jp3j5c7/qt9jp3j5c7.pdf?t=op9xyz","pdf_url":null,"source":{"id":"https://openalex.org/S78735424","display_name":"Cognitive Science","issn_l":"0364-0213","issn":["0364-0213","1551-6709"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","erih-plus","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Cognitive Science","raw_type":null}],"best_oa_location":{"id":"pmh:oai:escholarship.org/ark:/13030/qt9jp3j5c7","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/9jp3j5c7","pdf_url":"https://escholarship.org/uc/item/9jp3j5c7","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 36, iss 36","raw_type":"article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1129946829","display_name":"CRCNS: Collaborative Research: A Computational and Neuroimaging Investigation of Prediction and Learning in Cognitive Control","funder_award_id":"1309346","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2404625266.pdf","grobid_xml":"https://content.openalex.org/works/W2404625266.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2399948973","https://openalex.org/W2150055055","https://openalex.org/W2272791143","https://openalex.org/W7095869956","https://openalex.org/W2036236461","https://openalex.org/W4389151511","https://openalex.org/W2404816952","https://openalex.org/W2044844836","https://openalex.org/W6908433137","https://openalex.org/W4297888081"],"abstract_inverted_index":{"Human":[0],"subjects":[1],"exhibit":[2],"\"sequential":[3],"effects\"":[4],"in":[5,9,26,101,130,152,173,228,240],"many":[6],"psychological":[7],"experiments,":[8],"which":[10,236],"they":[11],"respond":[12],"more":[13,159],"rapidly":[14],"and":[15,58,96,119,161,170,178,203,207,223],"accurately":[16],"to":[17,30,70,84,98,128,150],"a":[18,23,35,74,113,124,153,158,188],"stimulus":[19,27,51,125,144],"when":[20,31,134,141],"it":[21,32,147],"reinforces":[22],"local":[24,44,237],"pattern":[25,45],"history,":[28],"compared":[29],"violates":[33],"such":[34,49,87],"pattern.This":[36],"is":[37],"often":[38],"the":[39,43,79,90,102,137,142,165,196,214,233],"case":[40],"even":[41],"if":[42],"arises":[46],"by":[47],"chance,":[48],"that":[50,86,94,108,135],"history":[52],"has":[53],"no":[54],"real":[55],"predictive":[56],"power,":[57],"therefore":[59],"any":[60],"behavioral":[61,171,184,215],"adjustment":[62],"based":[63,212],"on":[64,213],"these":[65],"erroneous":[66],"predictions":[67],"essentially":[68],"amounts":[69],"superstition.Earlier,":[71],"we":[72,111,156],"proposed":[73],"normative":[75],"Bayesian":[76],"learning":[77,198],"model,":[78],"Dynamic":[80],"Belief":[81,200],"Model":[82],"(DBM),":[83],"demonstrate":[85],"behavior":[88],"reflects":[89],"engagement":[91],"of":[92,164,175,195],"mechanisms":[93],"identify":[95],"adapt":[97],"changing":[99],"patterns":[100,238],"environment":[103],"(Yu":[104],"&":[105],"Cohen,":[106],"2009).In":[107],"earlier":[109],"work,":[110],"assumed":[112,127,149],"monotonic":[114],"relationship":[115,166],"between":[116,167],"prior":[117,168],"bias":[118,169],"response":[120,176],"time":[121,133,177],"(bias":[122],"toward":[123],"was":[126,136,145,148],"result":[129,151],"faster":[131],"reaction":[132],"actual":[138],"stimulus;":[139],"conversely,":[140],"other":[143],"present,":[146],"slower":[154],"response).Here,":[155],"present":[157,182],"detailed":[160],"quantitative":[162],"analysis":[163],"outcome,":[172],"terms":[174],"choice":[179],"accuracy.We":[180],"also":[181],"novel":[183],"data,":[185],"along":[186],"with":[187],"framework":[189],"for":[190,221],"jointly":[191],"identifying":[192],"subject-specific":[193],"parameters":[194],"trial-by-trial":[197],"(Dynamic":[199],"Model,":[201,210],"DBM)":[202],"within-trial":[204],"sensory":[205],"processing":[206],"decision-making":[208],"(Drift-Diffusion":[209],"DDM)":[211],"data.Our":[216],"results":[217],"provide":[218],"strong":[219],"evidence":[220],"DBM,":[222],"reveal":[224],"potential":[225],"individual":[226],"differences,":[227],"their":[229],"differential":[230],"beliefs":[231],"about":[232],"timescale":[234],"at":[235],"persist":[239],"sequential":[241],"data.":[242]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
