{"id":"https://openalex.org/W4386738439","doi":"https://doi.org/10.1371/journal.pcbi.1011430","title":"Mixtures of strategies underlie rodent behavior during reversal learning","display_name":"Mixtures of strategies underlie rodent behavior during reversal learning","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386738439","doi":"https://doi.org/10.1371/journal.pcbi.1011430","pmid":"https://pubmed.ncbi.nlm.nih.gov/37708113"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1011430","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011430","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011430&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.1011430&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086727484","display_name":"Nhat Minh Le","orcid":"https://orcid.org/0000-0002-3460-238X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nhat Minh Le","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021551732","display_name":"Murat Y\u0131ld\u0131r\u0131m","orcid":"https://orcid.org/0000-0003-0853-2557"},"institutions":[{"id":"https://openalex.org/I36373038","display_name":"Cleveland Clinic Lerner College of Medicine","ror":"https://ror.org/02x4b0932","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316902750","https://openalex.org/I36373038"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Murat Yildirim","raw_affiliation_strings":["Department of Neurosciences, Cleveland Clinic Lerner Research Institute, Cleveland, Ohio, United States of America","Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-0853-2557","affiliations":[{"raw_affiliation_string":"Department of Neurosciences, Cleveland Clinic Lerner Research Institute, Cleveland, Ohio, United States of America","institution_ids":["https://openalex.org/I36373038"]},{"raw_affiliation_string":"Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037068798","display_name":"Yizhi Wang","orcid":"https://orcid.org/0000-0002-5806-9970"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yizhi Wang","raw_affiliation_strings":["Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067504416","display_name":"Hiroki Sugihara","orcid":"https://orcid.org/0000-0002-0637-3700"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hiroki Sugihara","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074641403","display_name":"Mehrdad Jazayeri","orcid":"https://orcid.org/0000-0002-9764-6961"},"institutions":[{"id":"https://openalex.org/I144112489","display_name":"McGovern Institute for Brain Research","ror":"https://ror.org/05ymca674","country_code":"US","type":"facility","lineage":["https://openalex.org/I144112489","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mehrdad Jazayeri","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-9764-6961","affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I144112489","https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024300858","display_name":"Mriganka Sur","orcid":"https://orcid.org/0000-0003-2442-5671"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mriganka Sur","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-2442-5671","affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021551732","https://openalex.org/A5024300858","https://openalex.org/A5037068798","https://openalex.org/A5067504416","https://openalex.org/A5074641403","https://openalex.org/A5086727484"],"corresponding_institution_ids":["https://openalex.org/I144112489","https://openalex.org/I36373038","https://openalex.org/I63966007"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":5.1113,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9636835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":"9","first_page":"e1011430","last_page":"e1011430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9984999895095825,"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":0.9984999895095825,"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/T11178","display_name":"Receptor Mechanisms and Signaling","score":0.9902999997138977,"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/T10448","display_name":"Memory and Neural Mechanisms","score":0.9872000217437744,"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/task","display_name":"Task (project management)","score":0.705912709236145},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6532818078994751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6222290992736816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5332657098770142},{"id":"https://openalex.org/keywords/animal-behavior","display_name":"Animal behavior","score":0.5244041681289673},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5216820240020752},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.4651181995868683},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4638974666595459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44126245379447937},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.4239575266838074},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.41485416889190674},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18403011560440063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.182020366191864},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1511540412902832}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.705912709236145},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6532818078994751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222290992736816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5332657098770142},{"id":"https://openalex.org/C2988419192","wikidata":"https://www.wikidata.org/wiki/Q7155","display_name":"Animal behavior","level":2,"score":0.5244041681289673},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5216820240020752},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.4651181995868683},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4638974666595459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44126245379447937},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.4239575266838074},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.41485416889190674},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18403011560440063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.182020366191864},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1511540412902832},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C90856448","wikidata":"https://www.wikidata.org/wiki/Q431","display_name":"Zoology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","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":"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":"D012193","descriptor_name":"Reversal Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012193","descriptor_name":"Reversal Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012193","descriptor_name":"Reversal Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012193","descriptor_name":"Reversal Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012193","descriptor_name":"Reversal Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1011430","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011430","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011430&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:37708113","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37708113","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:pubmedcentral.nih.gov:10501641","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10501641","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10501641/pdf/pcbi.1011430.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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"},{"id":"pmh:oai:RePEc:plo:pcbi00:1011430","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011430","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:8eed88267c764843a73c002559fecd1e","is_oa":true,"landing_page_url":"https://doaj.org/article/8eed88267c764843a73c002559fecd1e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 19, Iss 9 (2023)","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:a9adafe9053d40a891d4518235310437","is_oa":true,"landing_page_url":"https://doaj.org/article/a9adafe9053d40a891d4518235310437","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 19, Iss 9, p e1011430 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1011430","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011430","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011430&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":[],"awards":[{"id":"https://openalex.org/G1432373144","display_name":null,"funder_award_id":"W911NF-21-1-","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G1495680632","display_name":null,"funder_award_id":"W911NF-21-1-0328","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G4926297606","display_name":null,"funder_award_id":"R01MH126351","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5430077537","display_name":null,"funder_award_id":"R00EB027706","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8198977667","display_name":null,"funder_award_id":"R01NS130361","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320309369","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44"},{"id":"https://openalex.org/F4320309680","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386738439.pdf","grobid_xml":"https://content.openalex.org/works/W4386738439.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1971501199","https://openalex.org/W1974203772","https://openalex.org/W2009639618","https://openalex.org/W2016005609","https://openalex.org/W2019310225","https://openalex.org/W2035912487","https://openalex.org/W2044924321","https://openalex.org/W2046991951","https://openalex.org/W2057203083","https://openalex.org/W2063293639","https://openalex.org/W2063522425","https://openalex.org/W2076256116","https://openalex.org/W2096107166","https://openalex.org/W2098342476","https://openalex.org/W2109059823","https://openalex.org/W2114848541","https://openalex.org/W2119259385","https://openalex.org/W2120238402","https://openalex.org/W2129586271","https://openalex.org/W2159162180","https://openalex.org/W2161563886","https://openalex.org/W2167362547","https://openalex.org/W2172003132","https://openalex.org/W2294342312","https://openalex.org/W2519108306","https://openalex.org/W2605235639","https://openalex.org/W2740909715","https://openalex.org/W2778797065","https://openalex.org/W2800127360","https://openalex.org/W2891127862","https://openalex.org/W2896350232","https://openalex.org/W2908138144","https://openalex.org/W2943977078","https://openalex.org/W2944586919","https://openalex.org/W2946688411","https://openalex.org/W2948506592","https://openalex.org/W2949278483","https://openalex.org/W2949675388","https://openalex.org/W2951975928","https://openalex.org/W2953886068","https://openalex.org/W2967334209","https://openalex.org/W2989785130","https://openalex.org/W2989963295","https://openalex.org/W3006462091","https://openalex.org/W3029829242","https://openalex.org/W3041149484","https://openalex.org/W3046548984","https://openalex.org/W3082728825","https://openalex.org/W3094271231","https://openalex.org/W3097029132","https://openalex.org/W3118984058","https://openalex.org/W3119974640","https://openalex.org/W3152847654","https://openalex.org/W3157659988","https://openalex.org/W3173403062","https://openalex.org/W3198161676","https://openalex.org/W3213381979","https://openalex.org/W3215374130","https://openalex.org/W4205449435","https://openalex.org/W4206133487","https://openalex.org/W4210324523","https://openalex.org/W4210668050","https://openalex.org/W4213439783","https://openalex.org/W4221108904","https://openalex.org/W4225773355","https://openalex.org/W4226049981","https://openalex.org/W4226383792","https://openalex.org/W4281837841","https://openalex.org/W4282921804","https://openalex.org/W4301368525","https://openalex.org/W4321605892","https://openalex.org/W4394190110","https://openalex.org/W6987848802"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2294335174","https://openalex.org/W2025614924","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W2164162849"],"abstract_inverted_index":{"In":[0],"reversal":[1,57,235],"learning":[2,58,236],"tasks,":[3],"the":[4,69,79,82,134,151,193,215,250,255],"behavior":[5,28,171,213,237,244],"of":[6,29,44,72,78,113,136,153,160,180,205,231,243],"humans":[7],"and":[8,24,63,210,238],"animals":[9],"is":[10],"often":[11],"assumed":[12],"to":[13,20,100,149,191],"be":[14,173,189],"uniform":[15,119],"within":[16],"single":[17,36],"experimental":[18,37],"sessions":[19],"facilitate":[21],"data":[22],"analysis":[23],"model":[25],"fitting.":[26],"However,":[27],"agents":[30],"can":[31,172],"display":[32,61],"substantial":[33],"variability":[34],"in":[35,54,81,157,169,214,233],"sessions,":[38],"as":[39,97],"they":[40,98],"execute":[41,117],"different":[42,47,129,178],"blocks":[43,159],"trials":[45],"with":[46,128,139],"transition":[48,130,167],"dynamics.":[49,131],"Here,":[50],"we":[51,85,107,163,198],"observed":[52],"that":[53,87,110,165,187,200,253],"a":[55,90,111,118,140,203,240],"deterministic":[56],"task,":[59,216],"mice":[60,88,114,201],"noisy":[62,220],"sub-optimal":[64],"choice":[65,104,155,221],"transitions":[66,156],"even":[67],"at":[68],"expert":[70],"stages":[71],"learning.":[73],"We":[74,132],"investigated":[75],"two":[76,177],"sources":[77,230],"sub-optimality":[80],"behavior.":[83],"First,":[84],"found":[86,109,164,199],"exhibit":[89],"high":[91],"lapse":[92],"rate":[93],"during":[94],"task":[95],"execution,":[96],"reverted":[99],"unrewarded":[101],"directions":[102],"after":[103],"transitions.":[105,257],"Second,":[106],"unexpectedly":[108],"majority":[112],"did":[115],"not":[116],"strategy,":[120],"but":[121],"rather":[122],"mixed":[123],"between":[124],"several":[125],"behavioral":[126,181],"modes":[127,168],"quantified":[133],"use":[135],"such":[137],"mixtures":[138,152],"state-space":[141],"model,":[142],"block":[143],"Hidden":[144],"Markov":[145],"Model":[146],"(block":[147],"HMM),":[148],"dissociate":[150],"dynamic":[154],"individual":[158],"trials.":[161],"Additionally,":[162],"blockHMM":[166],"rodent":[170,234],"accounted":[174],"for":[175],"by":[176],"types":[179],"algorithms,":[182],"model-free":[183,208],"or":[184],"inference-based":[185,212],"learning,":[186],"might":[188],"used":[190,202],"solve":[192],"task.":[194],"Combining":[195],"these":[196],"approaches,":[197],"mixture":[204],"both":[206],"exploratory,":[207],"strategies":[209],"deterministic,":[211],"explaining":[217],"their":[218],"overall":[219],"sequences.":[222],"Together,":[223],"our":[224],"combined":[225],"computational":[226],"approach":[227],"highlights":[228],"intrinsic":[229],"noise":[232],"provides":[239],"richer":[241],"description":[242],"than":[245],"conventional":[246],"techniques,":[247],"while":[248],"uncovering":[249],"hidden":[251],"states":[252],"underlie":[254],"block-by-block":[256]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}