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Ambiguity drives higher-order Pavlovian learning
In the natural world, stimulus-outcome associations are often ambiguous, and most associations are highly complex and situation-dependent. Learning to disambiguate these complex associations to identify which specific outcomes will occur in which situations is critical for survival. Pavlovian occasi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491594/ https://www.ncbi.nlm.nih.gov/pubmed/36084131 http://dx.doi.org/10.1371/journal.pcbi.1010410 |
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author | Zbozinek, Tomislav D. Perez, Omar D. Wise, Toby Fanselow, Michael Mobbs, Dean |
author_facet | Zbozinek, Tomislav D. Perez, Omar D. Wise, Toby Fanselow, Michael Mobbs, Dean |
author_sort | Zbozinek, Tomislav D. |
collection | PubMed |
description | In the natural world, stimulus-outcome associations are often ambiguous, and most associations are highly complex and situation-dependent. Learning to disambiguate these complex associations to identify which specific outcomes will occur in which situations is critical for survival. Pavlovian occasion setters are stimuli that determine whether other stimuli will result in a specific outcome. Occasion setting is a well-established phenomenon, but very little investigation has been conducted on how occasion setters are disambiguated when they themselves are ambiguous (i.e., when they do not consistently signal whether another stimulus will be reinforced). In two preregistered studies, we investigated the role of higher-order Pavlovian occasion setting in humans. We developed and tested the first computational model predicting direct associative learning, traditional occasion setting (i.e., 1(st)-order occasion setting), and 2(nd)-order occasion setting. This model operationalizes stimulus ambiguity as a mechanism to engage in higher-order Pavlovian learning. Both behavioral and computational modeling results suggest that 2(nd)-order occasion setting was learned, as evidenced by lack and presence of transfer of occasion setting properties when expected and the superior fit of our 2(nd)-order occasion setting model compared to the 1(st)-order occasion setting or direct associations models. These results provide a controlled investigation into highly complex associative learning and may ultimately lead to improvements in the treatment of Pavlovian-based mental health disorders (e.g., anxiety disorders, substance use). |
format | Online Article Text |
id | pubmed-9491594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94915942022-09-22 Ambiguity drives higher-order Pavlovian learning Zbozinek, Tomislav D. Perez, Omar D. Wise, Toby Fanselow, Michael Mobbs, Dean PLoS Comput Biol Research Article In the natural world, stimulus-outcome associations are often ambiguous, and most associations are highly complex and situation-dependent. Learning to disambiguate these complex associations to identify which specific outcomes will occur in which situations is critical for survival. Pavlovian occasion setters are stimuli that determine whether other stimuli will result in a specific outcome. Occasion setting is a well-established phenomenon, but very little investigation has been conducted on how occasion setters are disambiguated when they themselves are ambiguous (i.e., when they do not consistently signal whether another stimulus will be reinforced). In two preregistered studies, we investigated the role of higher-order Pavlovian occasion setting in humans. We developed and tested the first computational model predicting direct associative learning, traditional occasion setting (i.e., 1(st)-order occasion setting), and 2(nd)-order occasion setting. This model operationalizes stimulus ambiguity as a mechanism to engage in higher-order Pavlovian learning. Both behavioral and computational modeling results suggest that 2(nd)-order occasion setting was learned, as evidenced by lack and presence of transfer of occasion setting properties when expected and the superior fit of our 2(nd)-order occasion setting model compared to the 1(st)-order occasion setting or direct associations models. These results provide a controlled investigation into highly complex associative learning and may ultimately lead to improvements in the treatment of Pavlovian-based mental health disorders (e.g., anxiety disorders, substance use). Public Library of Science 2022-09-09 /pmc/articles/PMC9491594/ /pubmed/36084131 http://dx.doi.org/10.1371/journal.pcbi.1010410 Text en © 2022 Zbozinek et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zbozinek, Tomislav D. Perez, Omar D. Wise, Toby Fanselow, Michael Mobbs, Dean Ambiguity drives higher-order Pavlovian learning |
title | Ambiguity drives higher-order Pavlovian learning |
title_full | Ambiguity drives higher-order Pavlovian learning |
title_fullStr | Ambiguity drives higher-order Pavlovian learning |
title_full_unstemmed | Ambiguity drives higher-order Pavlovian learning |
title_short | Ambiguity drives higher-order Pavlovian learning |
title_sort | ambiguity drives higher-order pavlovian learning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491594/ https://www.ncbi.nlm.nih.gov/pubmed/36084131 http://dx.doi.org/10.1371/journal.pcbi.1010410 |
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