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    Adaptive gain control during human perceptual choice

    Cheadle, S. and Wyart, V. and Tsetsos, Konstantinos and Myers, N. and de Gardelle, V. and Herce Castañón, S. and Summerfield, C. (2014) Adaptive gain control during human perceptual choice. Neuron 81 (6), pp. 1429-1441. ISSN 0896-6273.

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    Highlights •Humans show biased integration of decision-relevant evidence •Later and more expected evidence wields more impact over choices •Adaptive gain control accounts for decision biases during serial integration •Expected evidence elicits markers of gain control using fMRI and pupillometry Summary Neural systems adapt to background levels of stimulation. Adaptive gain control has been extensively studied in sensory systems but overlooked in decision-theoretic models. Here, we describe evidence for adaptive gain control during the serial integration of decision-relevant information. Human observers judged the average information provided by a rapid stream of visual events (samples). The impact that each sample wielded over choices depended on its consistency with the previous sample, with more consistent or expected samples wielding the greatest influence over choice. This bias was also visible in the encoding of decision information in pupillometric signals and in cortical responses measured with functional neuroimaging. These data can be accounted for with a serial sampling model in which the gain of information processing adapts rapidly to reflect the average of the available evidence.


    Item Type: Article
    School: School of Science > Psychological Sciences
    Depositing User: Sarah Hall
    Date Deposited: 17 Dec 2015 14:08
    Last Modified: 17 Dec 2015 14:08


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