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重新审视感觉神经通路以揭示西蒙效应的时间动态:一种基于模型的认知神经科学方法。

Sensory neural pathways revisited to unravel the temporal dynamics of the Simon effect: A model-based cognitive neuroscience approach.

作者信息

Salzer Yael, de Hollander Gilles, Forstmann Birte U

机构信息

Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, The Netherlands.

Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, The Netherlands.

出版信息

Neurosci Biobehav Rev. 2017 Jun;77:48-57. doi: 10.1016/j.neubiorev.2017.02.023. Epub 2017 Feb 24.

Abstract

The Simon task is one of the most prominent interference tasks and has been extensively studied in experimental psychology and cognitive neuroscience. Despite years of research, the underlying mechanism driving the phenomenon and its temporal dynamics are still disputed. Within the framework of the review, we adopt a model-based cognitive neuroscience approach. We first go over key findings in the literature of the Simon task, discuss competing qualitative cognitive theories and the difficulty of testing them empirically. We then introduce sequential sampling models, a particular class of mathematical cognitive process models. Finally, we argue that the brain architecture accountable for the processing of spatial ('where') and non-spatial ('what') information, could constrain these models. We conclude that there is a clear need to bridge neural and behavioral measures, and that mathematical cognitive models may facilitate the construction of this bridge and work towards revealing the underlying mechanisms of the Simon effect.

摘要

西蒙任务是最著名的干扰任务之一,在实验心理学和认知神经科学领域得到了广泛研究。尽管经过多年研究,但驱动该现象的潜在机制及其时间动态仍存在争议。在本综述的框架内,我们采用基于模型的认知神经科学方法。我们首先回顾西蒙任务文献中的关键发现,讨论相互竞争的定性认知理论以及实证检验这些理论的困难。然后我们介绍序列抽样模型,这是一类特定的数学认知过程模型。最后,我们认为负责处理空间(“哪里”)和非空间(“什么”)信息的大脑结构可能会限制这些模型。我们得出结论,显然需要在神经和行为测量之间架起桥梁,而数学认知模型可能有助于搭建这座桥梁,并致力于揭示西蒙效应的潜在机制。

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