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美学客观性中的一种消解?

A clearing in the objectivity of aesthetics?

作者信息

Lee Daniel H, Chikazoe Junichi

机构信息

ARAYA Inc., Tokyo, Japan.

出版信息

Front Neuroimaging. 2023 Aug 15;2:1211801. doi: 10.3389/fnimg.2023.1211801. eCollection 2023.

DOI:10.3389/fnimg.2023.1211801
PMID:37654975
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10466419/
Abstract

As subjective experiences go, beauty matters. Although aesthetics has long been a topic of study, research in this area has not resulted in a level of interest and progress commensurate with its import. Here, we briefly discuss two recent advances, one computational and one neuroscientific, and their pertinence to aesthetic processing. First, we hypothesize that deep neural networks provide the capacity to model representations essential to aesthetic experiences. Second, we highlight the principal gradient as an axis of information processing that is potentially key to examining where and how aesthetic processing takes place in the brain. In concert with established neuroimaging tools, we suggest that these advances may cultivate a new frontier in the understanding of our aesthetic experiences.

摘要

就主观体验而言,美很重要。尽管美学长期以来一直是研究课题,但该领域的研究并未产生与其重要性相称的关注度和进展。在此,我们简要讨论两项近期进展,一项是计算方面的,一项是神经科学方面的,以及它们与审美加工的相关性。首先,我们假设深度神经网络具备对审美体验至关重要的表征进行建模的能力。其次,我们强调主梯度作为信息处理的一个轴,它可能是研究大脑中审美加工发生的位置和方式的关键。与现有的神经成像工具相结合,我们认为这些进展可能会在理解我们的审美体验方面开拓一个新的前沿领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec0b/10466419/aadec62f388a/fnimg-02-1211801-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec0b/10466419/aadec62f388a/fnimg-02-1211801-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec0b/10466419/aadec62f388a/fnimg-02-1211801-g0001.jpg

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A clearing in the objectivity of aesthetics?美学客观性中的一种消解?
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本文引用的文献

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The default-mode network represents aesthetic appeal that generalizes across visual domains.默认模式网络代表了审美吸引力,这种吸引力在视觉领域中具有普遍性。
Proc Natl Acad Sci U S A. 2019 Sep 17;116(38):19155-19164. doi: 10.1073/pnas.1902650116. Epub 2019 Sep 4.
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