A supramodal accumulation-to-bound signal that determines perceptual decisions in humans
This study uses EEG in humans to isolate and track an evolving, domain-general decision signal, which varies with accumulated evidence, but is independent of overt actions. In theoretical accounts of perceptual decision-making, a decision variable integrates noisy sensory evidence and determines act...
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Published in | Nature neuroscience Vol. 15; no. 12; pp. 1729 - 1735 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.12.2012
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | This study uses EEG in humans to isolate and track an evolving, domain-general decision signal, which varies with accumulated evidence, but is independent of overt actions.
In theoretical accounts of perceptual decision-making, a decision variable integrates noisy sensory evidence and determines action through a boundary-crossing criterion. Signals bearing these very properties have been characterized in single neurons in monkeys, but have yet to be directly identified in humans. Using a gradual target detection task, we isolated a freely evolving decision variable signal in human subjects that exhibited every aspect of the dynamics observed in its single-neuron counterparts. This signal could be continuously tracked in parallel with fully dissociable sensory encoding and motor preparation signals, and could be systematically perturbed mid-flight during decision formation. Furthermore, we found that the signal was completely domain general: it exhibited the same decision-predictive dynamics regardless of sensory modality and stimulus features and tracked cumulative evidence even in the absence of overt action. These findings provide a uniquely clear view on the neural determinants of simple perceptual decisions in humans. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Undefined-3 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 1097-6256 1546-1726 1546-1726 |
DOI: | 10.1038/nn.3248 |