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直接证据表明中枢神经系统中存在对数幅度表示。

Direct evidence for logarithmic magnitude representation in the central nervous system.

机构信息

Key Laboratory of Cognition and Personality (Ministry of Education), Time Psychology Research Center, Center of Studies for Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing 400715, China.

Key Laboratory of Cognition and Personality (Ministry of Education), Time Psychology Research Center, Center of Studies for Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing 400715, China.

出版信息

Neuroscience. 2024 Nov 22;561:127-138. doi: 10.1016/j.neuroscience.2024.10.025. Epub 2024 Oct 18.

DOI:10.1016/j.neuroscience.2024.10.025
PMID:39426705
Abstract

Fechner's law proposes a logarithmic relationship between the physical intensity and perceived magnitude of a stimulus. The principle of logarithmic magnitude representation has been extensively utilized in various theoretical frameworks. Although the neural correlates of Weber's law have been considered as possible evidence for Fechner's law, there is still a lack of direct evidence for a logarithmic representation in the central nervous system. In our study, participants were asked to reproduce the time intervals between two circles and ignore their spatial distances while electroencephalogram (EEG) signals were recorded synchronously. Behavioral results showed that a Bayesian model, which assumes a logarithmic representation of spatiotemporal information, was better at predicting production times than a model relying on a linear representation. The EEG results revealed that P2 and P3b amplitudes increased linearly with the logarithmic transformation of spatiotemporal information, and these event-related potentials were localized in the parietal cortex. Our study provides direct evidence supporting logarithmic magnitude representation in the central nervous system.

摘要

费希纳定律提出了刺激的物理强度与感知大小之间的对数关系。对数大小表示的原则已广泛应用于各种理论框架中。虽然韦伯定律的神经相关性被认为是费希纳定律的可能证据,但在中枢神经系统中仍然缺乏对数表示的直接证据。在我们的研究中,要求参与者复制两个圆圈之间的时间间隔,同时忽略它们的空间距离,同时记录脑电图 (EEG) 信号。行为结果表明,假设时空信息对数表示的贝叶斯模型比依赖线性表示的模型更能准确预测生产时间。EEG 结果显示,P2 和 P3b 振幅随时空信息的对数变换线性增加,这些事件相关电位定位于顶叶皮层。我们的研究提供了支持中枢神经系统中对数大小表示的直接证据。

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