Model-based and model-free pain avoidance learning

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dc.contributor.authorWang, Oliverko
dc.contributor.authorLee, Sang Wanko
dc.contributor.authorO'Doherty, Johnko
dc.contributor.authorSeymour, Benko
dc.contributor.authorWako, Yoshidako
dc.date.accessioned2018-12-20T08:06:50Z-
dc.date.available2018-12-20T08:06:50Z-
dc.date.created2018-10-22-
dc.date.created2018-10-22-
dc.date.created2018-10-22-
dc.date.issued2018-05-
dc.identifier.citationBrain and Neuroscience Advances, v.2-
dc.identifier.issn2398-2128-
dc.identifier.urihttp://hdl.handle.net/10203/248781-
dc.description.abstractBackground: While there is good evidence that reward learning is underpinned by two distinct decision control systems – a cognitive ‘model-based’ and a habitbased ‘model-free’ system, a comparable distinction for punishment avoidance has been much less clear. Methods: We implemented a pain avoidance task that placed differential emphasis on putative model-based and model-free processing, mirroring a paradigm and modelling approach recently developed for reward-based decision-making. Subjects performed a two-step decision-making task with probabilistic pain outcomes of different quantities. The delivery of outcomes was sometimes contingent on a rule signalled at the beginning of each trial, emulating a form of outcome devaluation. Results: The behavioural data showed that subjects tended to use a mixed strategy – favouring the simpler model-free learning strategy when outcomes did not depend on the rule, and favouring a model-based when they did. Furthermore, the data were well described by a dynamic transition model between the two controllers. When compared with data from a reward-based task (albeit tested in the context of the scanner), we observed that avoidance involved a significantly greater tendency for subjects to switch between model-free and model-based systems in the face of changes in uncertainty. Conclusion: Our study suggests a dual-system model of pain avoidance, similar to but possibly more dynamically flexible than reward-based decision-making.-
dc.languageEnglish-
dc.publisherSAGE Publications Ltd-
dc.titleModel-based and model-free pain avoidance learning-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume2-
dc.citation.publicationnameBrain and Neuroscience Advances-
dc.identifier.doi10.1177/2398212818772964-
dc.contributor.localauthorLee, Sang Wan-
dc.contributor.nonIdAuthorWang, Oliver-
dc.contributor.nonIdAuthorO'Doherty, John-
dc.contributor.nonIdAuthorSeymour, Ben-
dc.contributor.nonIdAuthorWako, Yoshida-
dc.description.isOpenAccessN-
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