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将动作监测的神经生理过程与神经认知扩散模型中反应后速度-准确性调整联系起来。

Linking neurophysiological processes of action monitoring to post-response speed-accuracy adjustments in a neuro-cognitive diffusion model.

机构信息

Department of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, Köln 50969, Germany.

Department of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, Köln 50969, Germany.

出版信息

Neuroimage. 2022 Feb 15;247:118798. doi: 10.1016/j.neuroimage.2021.118798. Epub 2021 Dec 9.

DOI:10.1016/j.neuroimage.2021.118798
PMID:34896290
Abstract

The cognitive system needs to continuously monitor actions and initiate adaptive measures aimed at increasing task performance and avoiding future errors. To investigate the link between the contributing cognitive processes, we introduce the neuro-cognitive diffusion model, a statistical approach that allows a combination of computational modelling of behavioural and electrophysiological data on a single-trial level. This unique combination of methods allowed us to demonstrate across three experimental datasets that early response monitoring (error negativity; Ne/c) was related to more response caution and increased attention on task-relevant features on the subsequent trial, thereby preventing future errors, whereas later response monitoring (error positivity, Pe/c) maintained the ability of responding fast under speed pressure. Our results suggest that Pe/c-related processes might keep Ne/c-related processes in check regarding their impact on post-response adaptation to reconcile the conflicting criteria of fast and accurate responding.

摘要

认知系统需要不断监控动作,并启动适应性措施,旨在提高任务绩效和避免未来错误。为了研究促成认知过程的联系,我们引入了神经认知扩散模型,这是一种统计方法,允许在单次试验水平上结合行为和电生理数据的计算建模。这种独特的方法组合使我们能够在三个实验数据集上证明,早期反应监测(错误负性;Ne/c)与后续试验中更谨慎的反应和对任务相关特征的注意力增加有关,从而防止未来的错误,而后期反应监测(错误正性,Pe/c)则保持在速度压力下快速反应的能力。我们的结果表明,Pe/c 相关过程可能会控制 Ne/c 相关过程对反应后适应的影响,以协调快速和准确反应的冲突标准。

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