Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Neuropsychologia. 2021 May 14;155:107821. doi: 10.1016/j.neuropsychologia.2021.107821. Epub 2021 Mar 5.
Perceptual decision making - the process of detecting and categorizing information - has been studied extensively over the last two decades. In this study, we aim to bridge the gap between neural and behavioral representations of the perceptual decision-making process. The neural characterization of decision-making was investigated by evaluating the duration and neural signature of the information processing stages. We further evaluated the processing stages of the decision-making process at the behavioral level by estimating the drift rate and non-decision time parameters. We asked whether the neural and behavioral characterizations of the decision-making process provided consistent results under different stimulus coherency levels and spatial attention. Our statistical analysis revealed that, at both representational levels, decision-making was affected more by the coherency factor. We further found that among different information processing stages, the decision stage had the highest role in the performance of the decision-making process. Such that, the shorter decision stage duration at the neural level and higher drift rate at the behavioral level lead to faster decision-making. Through our consistent neural and behavioral results, we have shown that the decision-making components at these two representational levels were significantly associated. Moreover, the neural signature of the processing stages gave information about the regions that contributed more to the decision-making process. Our overall results demonstrate that uncovering the cognitive processing stages provided more insights into the decision-making process.
知觉决策制定——即检测和分类信息的过程——在过去二十年中得到了广泛研究。在这项研究中,我们旨在弥合神经和行为对知觉决策过程的代表性之间的差距。通过评估信息处理阶段的持续时间和神经特征,我们研究了决策制定的神经特征。我们通过估计漂移率和非决策时间参数,进一步在行为水平上评估决策过程的处理阶段。我们想知道在不同的刺激一致性水平和空间注意力下,决策过程的神经和行为特征是否提供一致的结果。我们的统计分析表明,在两个表示水平上,决策过程都受到一致性因素的更大影响。我们还发现,在不同的信息处理阶段中,决策阶段在决策过程的表现中起着最重要的作用。因此,神经水平上较短的决策阶段持续时间和行为水平上较高的漂移率会导致更快的决策。通过我们一致的神经和行为结果,我们表明这两个表示水平上的决策组件显著相关。此外,处理阶段的神经特征提供了更多关于对决策过程贡献更大的区域的信息。我们的总体结果表明,揭示认知处理阶段为决策过程提供了更多的见解。