Suppr超能文献

现实世界中面部感知的神经编码。

Neural encoding of real world face perception.

作者信息

Alreja Arish, Ward Michael J, Parker Lisa S, Richardson R Mark, Morency Louis-Philippe, Abel Taylor J, Ghuman Avniel Singh

机构信息

Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA.

Neuroscience Institute, Carnegie Mellon University, Pittsburgh, USA.

出版信息

ArXiv. 2025 May 13:arXiv:2505.08831v1.

Abstract

Social perception unfolds as we freely interact with people around us. We investigated the neural basis of real world face perception using multi electrode intracranial recordings in humans during spontaneous interactions with friends, family, and others. Computational models reconstructed the faces participants looked at during natural interactions, including facial expressions and motion, from brain activity alone. The results highlighted a critical role for the social vision pathway, a network of areas spanning parietal, temporal, and occipital cortex. This network was more sharply tuned to subtle expressions compared to intense expressions, which was confirmed with controlled psychophysical experiments. These findings reveal that the human social vision pathway encodes facial expressions and motion as deviations from a neutral expression prototype during natural social interactions in real life.

摘要

随着我们与周围的人自由互动,社会认知逐渐展开。我们利用多电极颅内记录技术,在人类与朋友、家人及其他人的自发互动过程中,研究了现实世界中面部感知的神经基础。计算模型仅根据大脑活动重建了参与者在自然互动过程中所注视的面部,包括面部表情和动作。结果突出了社会视觉通路的关键作用,这是一个跨越顶叶、颞叶和枕叶皮质的区域网络。与强烈表情相比,该网络对微妙表情的调谐更为敏锐,这一点在对照心理物理学实验中得到了证实。这些发现表明,在现实生活中的自然社会互动过程中,人类社会视觉通路将面部表情和动作编码为与中性表情原型的偏差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0628/12133080/0d5d69ed1a94/nihpp-2505.08831v1-f0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验