Magnetoencephalography decoding reveals structural differences within integrative decision processes
When confronted with complex inputs consisting of multiple elements, humans use various strategies to integrate the elements quickly and accurately. For instance, accuracy may be improved by processing elements one at a time 1 – 4 or over extended periods 5 – 8 ; speed can increase if the internal r...
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Published in | Nature human behaviour Vol. 2; no. 9; pp. 670 - 681 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.09.2018
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | When confronted with complex inputs consisting of multiple elements, humans use various strategies to integrate the elements quickly and accurately. For instance, accuracy may be improved by processing elements one at a time
1
–
4
or over extended periods
5
–
8
; speed can increase if the internal representation of elements is accelerated
9
,
10
. However, little is known about how humans actually approach these challenges because behavioural findings can be accounted for by multiple alternative process models
11
and neuroimaging investigations typically rely on haemodynamic signals that change too slowly. Consequently, to uncover the fast neural dynamics that support information integration, we decoded magnetoencephalographic signals that were recorded as human subjects performed a complex decision task. Our findings reveal three sources of individual differences in the temporal structure of the integration process—sequential representation, partial reinstatement and early computation—each having a dissociable effect on how subjects handled problem complexity and temporal constraints. Our findings shed new light on the structure and influence of self-determined neural integration processes.
People differ in how they cope with task complexity and time constraints. Eldar et al. use magnetoencephalography to show that these differences can be explained by the temporal organization of a neural information integration process. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 2397-3374 2397-3374 |
DOI: | 10.1038/s41562-018-0423-3 |