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Neural Representation of Task Difficulty and Decision Making during Perceptual Categorization: A Timing Diagram

机译:感知分类过程中任务难度和决策的神经表示:时序图

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摘要

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 ≈220 ms after stimulus presentation, between two EEG components that are predictive of decision accuracy [an “early” (170 ms) and a “late” (≈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.
机译:大脑何时知道很难做出决定?决策难度如何影响神经资源的分配和组成性皮层处理的时间安排?在这里,我们使用脑电图(EEG)的单次试验分析来确定决策难度的神经关联,并将其与决策准确性的神经关联联系起来。使用提示的范式,我们表明我们可以识别出EEG中反映固有任务难度而不仅仅是与刺激相关的组件。我们发现,在刺激表现后,在预测决策准确性的两个脑电图成分之间出现了这个决策难度成分≈220毫秒[“早期”(170毫秒)和“晚期”(≈300毫秒)]。我们使用这些结果来开发用于感知决策的时序图,并将组件活动与扩散模型的参数进行决策。

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