{"id":"https://openalex.org/W2951968427","doi":"https://doi.org/10.1371/journal.pcbi.1004648","title":"Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task","display_name":"Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task","publication_year":2015,"publication_date":"2015-12-11","ids":{"openalex":"https://openalex.org/W2951968427","doi":"https://doi.org/10.1371/journal.pcbi.1004648","mag":"2951968427","pmid":"https://pubmed.ncbi.nlm.nih.gov/26657806"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1004648","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1004648","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004648&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.1004648&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044453566","display_name":"Thomas Akam","orcid":"https://orcid.org/0000-0002-1810-0494"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I113358080","display_name":"Champalimaud Foundation","ror":"https://ror.org/03g001n57","country_code":"PT","type":"facility","lineage":["https://openalex.org/I113358080"]}],"countries":["GB","PT"],"is_corresponding":true,"raw_author_name":"Thomas Akam","raw_affiliation_strings":["Champalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal","Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Champalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal","institution_ids":["https://openalex.org/I113358080"]},{"raw_affiliation_string":"Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060965799","display_name":"Rui M. Costa","orcid":"https://orcid.org/0000-0003-0495-8374"},"institutions":[{"id":"https://openalex.org/I113358080","display_name":"Champalimaud Foundation","ror":"https://ror.org/03g001n57","country_code":"PT","type":"facility","lineage":["https://openalex.org/I113358080"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui Costa","raw_affiliation_strings":["Champalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Champalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal","institution_ids":["https://openalex.org/I113358080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075063030","display_name":"Peter Dayan","orcid":"https://orcid.org/0000-0003-3476-1839"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I4210115172","display_name":"Oxford Centre for Computational Neuroscience","ror":"https://ror.org/026ejyb70","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I4210115172"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Dayan","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit, UCL, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit, UCL, London, United Kingdom","institution_ids":["https://openalex.org/I4210115172","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044453566"],"corresponding_institution_ids":["https://openalex.org/I113358080","https://openalex.org/I40120149"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2027,"currency":"EUR","value_usd":2186},"fwci":6.1214,"has_fulltext":true,"cited_by_count":157,"citation_normalized_percentile":{"value":0.97182362,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"12","first_page":"e1004648","last_page":"e1004648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9958999752998352,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9958999752998352,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9882000088691711,"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/simple","display_name":"Simple (philosophy)","score":0.757333517074585},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.612064003944397},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.585136353969574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5504537224769592},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.49084216356277466},{"id":"https://openalex.org/keywords/two-step","display_name":"Two step","score":0.4820471704006195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33585864305496216},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20554929971694946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16823750734329224},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15883922576904297},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11060315370559692}],"concepts":[{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.757333517074585},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.612064003944397},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.585136353969574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5504537224769592},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.49084216356277466},{"id":"https://openalex.org/C3019136120","wikidata":"https://www.wikidata.org/wiki/Q2462428","display_name":"Two step","level":2,"score":0.4820471704006195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33585864305496216},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20554929971694946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16823750734329224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15883922576904297},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11060315370559692},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D002755","descriptor_name":"Choice Behavior","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D002755","descriptor_name":"Choice Behavior","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D002755","descriptor_name":"Choice Behavior","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D002755","descriptor_name":"Choice Behavior","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006184","descriptor_name":"Habits","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006184","descriptor_name":"Habits","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006184","descriptor_name":"Habits","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006184","descriptor_name":"Habits","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012193","descriptor_name":"Reversal Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012193","descriptor_name":"Reversal Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012193","descriptor_name":"Reversal Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012193","descriptor_name":"Reversal Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1004648","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1004648","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004648&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:26657806","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26657806","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:RePEc:plo:pcbi00:1004648","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004648","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:1981ccdc78f94edb9b224dddce410289","is_oa":true,"landing_page_url":"https://doaj.org/article/1981ccdc78f94edb9b224dddce410289","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 11, Iss 12, p e1004648 (2015)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:3679821","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4686094","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/1623876","is_oa":true,"landing_page_url":"https://figshare.com/articles/dataset/_Simple_Plans_or_Sophisticated_Habits_State_Transition_and_Learning_Interactions_in_the_Two_Step_Task_/1623876","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1004648","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1004648","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004648&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":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G4219579234","display_name":null,"funder_award_id":"WT096193AIA","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G4587661917","display_name":null,"funder_award_id":"WT096193AIA","funder_id":"https://openalex.org/F4320307874","funder_display_name":"Wellcome"},{"id":"https://openalex.org/G8116662420","display_name":null,"funder_award_id":"IEC 55007415","funder_id":"https://openalex.org/F4320306082","funder_display_name":"Howard Hughes Medical Institute"}],"funders":[{"id":"https://openalex.org/F4320306082","display_name":"Howard Hughes Medical Institute","ror":"https://ror.org/006w34k90"},{"id":"https://openalex.org/F4320307874","display_name":"Wellcome","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320320033","display_name":"Gatsby Charitable Foundation","ror":"https://ror.org/0290hax27"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951968427.pdf","grobid_xml":"https://content.openalex.org/works/W2951968427.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1820027879","https://openalex.org/W1965970654","https://openalex.org/W1971037745","https://openalex.org/W1974761488","https://openalex.org/W1975401347","https://openalex.org/W1977343782","https://openalex.org/W1988699227","https://openalex.org/W1993596844","https://openalex.org/W1999696971","https://openalex.org/W2010147753","https://openalex.org/W2014370649","https://openalex.org/W2016202155","https://openalex.org/W2037781104","https://openalex.org/W2039051284","https://openalex.org/W2041639631","https://openalex.org/W2046194382","https://openalex.org/W2048221359","https://openalex.org/W2049123845","https://openalex.org/W2051781198","https://openalex.org/W2056354534","https://openalex.org/W2059569317","https://openalex.org/W2063310486","https://openalex.org/W2070871741","https://openalex.org/W2080834410","https://openalex.org/W2083537735","https://openalex.org/W2085553767","https://openalex.org/W2090227765","https://openalex.org/W2095109706","https://openalex.org/W2096648742","https://openalex.org/W2098342476","https://openalex.org/W2102803424","https://openalex.org/W2103492232","https://openalex.org/W2111535985","https://openalex.org/W2112337921","https://openalex.org/W2113122939","https://openalex.org/W2114013702","https://openalex.org/W2114848541","https://openalex.org/W2115998792","https://openalex.org/W2119259385","https://openalex.org/W2119328422","https://openalex.org/W2120520226","https://openalex.org/W2121863487","https://openalex.org/W2128349062","https://openalex.org/W2133282234","https://openalex.org/W2135505898","https://openalex.org/W2135929897","https://openalex.org/W2149565728","https://openalex.org/W2151551861","https://openalex.org/W2152010115","https://openalex.org/W2153894094","https://openalex.org/W2167362547","https://openalex.org/W2168447210","https://openalex.org/W2170650046","https://openalex.org/W2178583635","https://openalex.org/W2274685343","https://openalex.org/W4235347636"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W4300101996","https://openalex.org/W2165950148","https://openalex.org/W4253593777","https://openalex.org/W2186126999","https://openalex.org/W2951497643","https://openalex.org/W4403053866","https://openalex.org/W2142393343"],"abstract_inverted_index":{"The":[0,64],"recently":[1],"developed":[2],"'two-step'":[3],"behavioural":[4,62,221],"task":[5,65,123,216],"promises":[6],"to":[7,53,74,77,94,121,155,166],"differentiate":[8],"model-based":[9,201],"from":[10,61],"model-free":[11,107,177],"reinforcement":[12,178],"learning,":[13],"while":[14],"generating":[15],"neurophysiologically-friendly":[16],"decision":[17,23],"datasets":[18],"with":[19],"parametric":[20],"variation":[21],"of":[22,41,47,92,134,162,213,226],"variables.":[24],"These":[25,196],"desirable":[26],"features":[27],"have":[28,192],"prompted":[29],"its":[30],"widespread":[31],"adoption.":[32],"Here,":[33],"we":[34],"analyse":[35],"the":[36,45,70,96,122,132,135,138,160,167,210,214],"interactions":[37],"between":[38,69,128,184],"a":[39,67,81,144,163,218],"range":[40],"different":[42],"strategies":[43,76,108,180],"and":[44,49,80,137,189,204],"structure":[46,124],"transitions":[48],"outcomes":[50],"in":[51,142],"order":[52],"examine":[54],"constraints":[55],"on":[56,149],"what":[57],"can":[58,109,125,153,170],"be":[59,78],"learned":[60],"performance.":[63],"involves":[66],"trade-off":[68],"need":[71,82],"for":[72,83,220],"stochasticity,":[73],"allow":[75],"discriminated,":[79],"determinism,":[84],"so":[85],"that":[86,103,117,146,169,181,199],"it":[87],"is":[88],"worth":[89],"subjects'":[90],"investment":[91],"effort":[93],"exploit":[95,182],"contingencies":[97],"optimally.":[98],"We":[99,114,158,174],"show":[100,116],"through":[101],"simulation":[102],"under":[104,202],"certain":[105],"conditions":[106],"masquerade":[110],"as":[111,217],"being":[112],"model-based.":[113],"first":[115],"seemingly":[118],"innocuous":[119],"modifications":[120],"induce":[126],"correlations":[127,183],"action":[129],"values":[130],"at":[131],"start":[133],"trial":[136,140],"subsequent":[139],"events":[141],"such":[143],"way":[145],"analysis":[147,168],"based":[148],"comparing":[150],"successive":[151],"trials":[152],"lead":[154],"erroneous":[156],"conclusions.":[157],"confirm":[159],"power":[161],"suggested":[164],"correction":[165],"alleviate":[171],"this":[172],"problem.":[173],"then":[175],"consider":[176],"learning":[179],"where":[185],"rewards":[186],"are":[187],"obtained":[188],"which":[190],"actions":[191],"high":[193],"expected":[194],"value.":[195],"generate":[197],"behaviour":[198],"appears":[200],"these,":[203],"also":[205],"more":[206],"sophisticated,":[207],"analyses.":[208],"Exploiting":[209],"full":[211],"potential":[212],"two-step":[215],"tool":[219],"neuroscience":[222],"requires":[223],"an":[224],"understanding":[225],"these":[227],"issues.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}