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刻画场景吸引力的动态神经表示。

Characterizing Dynamic Neural Representations of Scene Attractiveness.

机构信息

Justus-Liebig-University Gießen, Germany.

出版信息

J Cogn Neurosci. 2022 Sep 1;34(10):1988-1997. doi: 10.1162/jocn_a_01891.

DOI:10.1162/jocn_a_01891
PMID:35802607
Abstract

Aesthetic experiences during natural vision are varied: They can arise from viewing scenic landscapes, interesting architecture, or attractive people. Recent research in the field of neuroaesthetics has taught us a lot about where in the brain such aesthetic experiences are represented. Much less is known about when such experiences arise during the cortical processing cascade. Particularly, the dynamic neural representation of perceived attractiveness for rich natural scenes is not well understood. Here, I present data from an EEG experiment, in which participants provided attractiveness judgments for a set of diverse natural scenes. Using multivariate pattern analysis, I demonstrate that scene attractiveness is mirrored in early brain signals that arise within 200 msec of vision, suggesting that the aesthetic appeal of scenes is first resolved during perceptual processing. In more detailed analyses, I show that even such early neural correlates of scene attractiveness are partly related to interindividual variation in aesthetic preferences and that they generalize across scene contents. Together, these results characterize the time-resolved neural dynamics that give rise to aesthetic experiences in complex natural environments.

摘要

自然视觉中的审美体验多种多样

可以是欣赏风景、有趣的建筑或有吸引力的人。神经美学领域的最新研究让我们了解了很多关于大脑中何处代表了这种审美体验。对于这些体验在皮层处理级联中何时出现,我们知之甚少。特别地,对于丰富的自然场景的感知吸引力的动态神经表示还不太清楚。在这里,我展示了一项 EEG 实验的数据,其中参与者对一组不同的自然场景进行了吸引力判断。使用多元模式分析,我证明了场景吸引力反映在视觉出现后 200 毫秒内产生的早期大脑信号中,这表明场景的美学吸引力首先在感知处理过程中得到解决。在更详细的分析中,我表明,即使是场景吸引力的这些早期神经相关性也部分与审美偏好的个体间差异有关,并且它们可以在场景内容之间推广。总的来说,这些结果描述了在复杂的自然环境中产生审美体验的时间分辨神经动力学。

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