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可操纵物体加工的多维性的神经和行为特征。

Neural and behavioral signatures of the multidimensionality of manipulable object processing.

机构信息

Proaction Lab, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.

CINEICC, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.

出版信息

Commun Biol. 2023 Sep 14;6(1):940. doi: 10.1038/s42003-023-05323-x.

Abstract

Understanding how we recognize objects requires unravelling the variables that govern the way we think about objects and the neural organization of object representations. A tenable hypothesis is that the organization of object knowledge follows key object-related dimensions. Here, we explored, behaviorally and neurally, the multidimensionality of object processing. We focused on within-domain object information as a proxy for the decisions we typically engage in our daily lives - e.g., identifying a hammer in the context of other tools. We extracted object-related dimensions from subjective human judgments on a set of manipulable objects. We show that the extracted dimensions are cognitively interpretable and relevant - i.e., participants are able to consistently label them, and these dimensions can guide object categorization; and are important for the neural organization of knowledge - i.e., they predict neural signals elicited by manipulable objects. This shows that multidimensionality is a hallmark of the organization of manipulable object knowledge.

摘要

理解我们如何识别物体需要揭示控制我们思考物体方式和物体表示的神经组织的变量。一个可行的假设是,物体知识的组织遵循关键的与物体相关的维度。在这里,我们从行为和神经的角度探索了物体处理的多维性。我们专注于域内物体信息,作为我们日常生活中通常进行的决策的代表 - 例如,在其他工具的背景下识别锤子。我们从一组可操作物体的主观人类判断中提取了与物体相关的维度。我们表明,提取的维度在认知上是可解释和相关的 - 即,参与者能够一致地对其进行标记,并且这些维度可以指导物体分类;并且对于知识的神经组织是重要的 - 即,它们可以预测可操作物体引起的神经信号。这表明多维性是可操作物体知识组织的标志。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3562/10502059/d603163b8c08/42003_2023_5323_Fig1_HTML.jpg

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