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Adaptive gain control during human perceptual choice

Identifieur interne : 001A35 ( Pmc/Corpus ); précédent : 001A34; suivant : 001A36

Adaptive gain control during human perceptual choice

Auteurs : Samuel Cheadle ; Valentin Wyart ; Konstantinos Tsetsos ; Nicholas Myers ; Vincent De Gardelle ; Santiago Herce Casta N ; Christopher Summerfield

Source :

RBID : PMC:4411568

Abstract

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 new serial sampling model in which the gain of information processing adapts rapidly to reflect the average of the available evidence.


Url:
DOI: 10.1016/j.neuron.2014.01.020
PubMed: 24656259
PubMed Central: 4411568

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