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Activity in Inferior Parietal and Medial Prefrontal Cortex Signals the Accumulation of Evidence in a Probability Learning Task

Overview of attention for article published in PLoS Computational Biology, January 2013
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Title
Activity in Inferior Parietal and Medial Prefrontal Cortex Signals the Accumulation of Evidence in a Probability Learning Task
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002895
Pubmed ID
Authors

Mathieu d'Acremont, Eleonora Fornari, Peter Bossaerts

Abstract

In an uncertain environment, probabilities are key to predicting future events and making adaptive choices. However, little is known about how humans learn such probabilities and where and how they are encoded in the brain, especially when they concern more than two outcomes. During functional magnetic resonance imaging (fMRI), young adults learned the probabilities of uncertain stimuli through repetitive sampling. Stimuli represented payoffs and participants had to predict their occurrence to maximize their earnings. Choices indicated loss and risk aversion but unbiased estimation of probabilities. BOLD response in medial prefrontal cortex and angular gyri increased linearly with the probability of the currently observed stimulus, untainted by its value. Connectivity analyses during rest and task revealed that these regions belonged to the default mode network. The activation of past outcomes in memory is evoked as a possible mechanism to explain the engagement of the default mode network in probability learning. A BOLD response relating to value was detected only at decision time, mainly in striatum. It is concluded that activity in inferior parietal and medial prefrontal cortex reflects the amount of evidence accumulated in favor of competing and uncertain outcomes.

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The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Japan 1 1%
China 1 1%
France 1 1%
Unknown 84 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 30%
Student > Ph. D. Student 20 22%
Student > Master 12 13%
Professor > Associate Professor 5 5%
Student > Bachelor 5 5%
Other 11 12%
Unknown 11 12%
Readers by discipline Count As %
Psychology 40 44%
Agricultural and Biological Sciences 13 14%
Neuroscience 11 12%
Medicine and Dentistry 3 3%
Computer Science 2 2%
Other 7 8%
Unknown 15 16%