脑磁图
代表(政治)
计算机科学
神经影像学
解码方法
过程(计算)
任务(项目管理)
人工智能
信息集成
机器学习
心理学
神经科学
脑电图
算法
数据挖掘
操作系统
经济
管理
法学
政治
政治学
作者
Eran Eldar,Gyung Jin Bae,Zeb Kurth‐Nelson,Peter Dayan,Raymond J. Dolan
标识
DOI:10.1038/s41562-018-0423-3
摘要
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 time1-4 or over extended periods5-8; speed can increase if the internal representation of elements is accelerated9,10. However, little is known about how humans actually approach these challenges because behavioural findings can be accounted for by multiple alternative process models11 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.
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