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dc.contributor.authorLi, Jianen
dc.contributor.authorMcClure, Samuel M.en
dc.contributor.authorKing-Casas, Brooksen
dc.contributor.authorMontague, P. Readen
dc.date.accessioned2017-10-12T17:21:24Zen
dc.date.available2017-10-12T17:21:24Zen
dc.date.issued2006-12en
dc.identifier.citationLi J, McClure SM, King-Casas B, Montague PR (2006) Policy Adjustment in a Dynamic Economic Game. PLoS ONE 1(1): e103. doi:10.1371/ journal.pone.0000103en
dc.identifier.urihttp://hdl.handle.net/10919/79628en
dc.description.abstractMaking sequential decisions to harvest rewards is a notoriously difficult problem. One difficulty is that the real world is not stationary and the reward expected from a contemplated action may depend in complex ways on the history of an animal’s choices. Previous functional neuroimaging work combined with principled models has detected brain responses that correlate with computations thought to guide simple learning and action choice. Those works generally employed instrumental conditioning tasks with fixed action-reward contingencies. For real-world learning problems, the history of reward-harvesting choices can change the likelihood of rewards collected by the same choices in the near-term future. We used functional MRI to probe brain and behavioral responses in a continuous decision-making task where reward contingency is a function of both a subject’s immediate choice and his choice history. In these more complex tasks, we demonstrated that a simple actor-critic model can account for both the subjects’ behavioral and brain responses, and identified a reward prediction error signal in ventral striatal structures active during these non-stationary decision tasks. However, a sudden introduction of new reward structures engages more complex control circuitry in the prefrontal cortex (inferior frontal gyrus and anterior insula) and is not captured by a simple actor-critic model. Taken together, these results extend our knowledge of reward-learning signals into more complex, history-dependent choice tasks. They also highlight the important interplay between striatum and prefrontal cortex as decision-makers respond to the strategic demands imposed by non-stationary reward environments more reminiscent of real-world tasks.en
dc.description.sponsorshipThis work was funded by the Kane Family Foundation (P.R.M.), NINDS grant NS-045790 (P.R.M.) and NIDA grant DA-11723 (P.R.M.).en
dc.format.extent11 pagesen
dc.format.mimetypeapplication/pdfen
dc.language.isoen_USen
dc.publisherPLOSen
dc.rightsCreative Commons Attribution-NonCommercial 3.0 Unporteden
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/en
dc.titlePolicy Adjustment in a Dynamic Economic Gameen
dc.typeArticle - Refereeden
dc.title.serialPLOS Oneen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0000103en
dc.identifier.volume1en
dc.identifier.issue1en


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Creative Commons Attribution-NonCommercial 3.0 Unported
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