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感知分类过程中任务难度和决策的神经表征:一个时序图。

Neural representation of task difficulty and decision making during perceptual categorization: a timing diagram.

作者信息

Philiastides Marios G, Ratcliff Roger, Sajda Paul

机构信息

Laboratory for Intelligent Imaging and Neural Computing, Department of Biomedical Engineering, Columbia University, New York, New York 10027, USA.

出版信息

J Neurosci. 2006 Aug 30;26(35):8965-75. doi: 10.1523/JNEUROSCI.1655-06.2006.

Abstract

When does the brain know that a decision is difficult to make? How does decision difficulty affect the allocation of neural resources and timing of constituent cortical processing? Here, we use single-trial analysis of electroencephalography (EEG) to identify neural correlates of decision difficulty and relate these to neural correlates of decision accuracy. Using a cued paradigm, we show that we can identify a component in the EEG that reflects the inherent task difficulty and not simply a correlation with the stimulus. We find that this decision difficulty component arises approximately 220 ms after stimulus presentation, between two EEG components that are predictive of decision accuracy [an "early" (170 ms) and a "late" (approximately 300 ms) component]. We use these results to develop a timing diagram for perceptual decision making and relate the component activities to parameters of a diffusion model for decision making.

摘要

大脑何时知道某个决策难以做出?决策难度如何影响神经资源的分配以及构成性皮层处理的时间?在此,我们采用脑电图(EEG)的单试次分析来识别决策难度的神经关联,并将这些关联与决策准确性的神经关联联系起来。使用线索范式,我们表明能够在脑电图中识别出一个成分,它反映了任务的固有难度,而不仅仅是与刺激的相关性。我们发现,这个决策难度成分在刺激呈现后约220毫秒出现,位于两个预测决策准确性的脑电图成分之间[一个“早期”(170毫秒)成分和一个“晚期”(约300毫秒)成分]。我们利用这些结果绘制了一个感知决策的时间图,并将成分活动与决策扩散模型的参数联系起来。

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