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人类社会互动感知速度。

The speed of human social interaction perception.

机构信息

Department of Cognitive Science, Johns Hopkins University, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA; Center for Brains, Minds, and Machines, Massachusetts Institute of Technology, USA.

McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA; Department of Psychological and Brain Sciences, Dartmouth College, USA.

出版信息

Neuroimage. 2020 Jul 15;215:116844. doi: 10.1016/j.neuroimage.2020.116844. Epub 2020 Apr 14.

Abstract

The ability to perceive others' social interactions, here defined as the directed contingent actions between two or more people, is a fundamental part of human experience that develops early in infancy and is shared with other primates. However, the neural computations underlying this ability remain largely unknown. Is social interaction recognition a rapid feedforward process or a slower post-perceptual inference? Here we used magnetoencephalography (MEG) decoding to address this question. Subjects in the MEG viewed snapshots of visually matched real-world scenes containing a pair of people who were either engaged in a social interaction or acting independently. The presence versus absence of a social interaction could be read out from subjects' MEG data spontaneously, even while subjects performed an orthogonal task. This readout generalized across different people and scenes, revealing abstract representations of social interactions in the human brain. These representations, however, did not come online until quite late, at 300 ​ms after image onset, well after feedforward visual processes. In a second experiment, we found that social interaction readout still occurred at this same late latency even when subjects performed an explicit task detecting social interactions. We further showed that MEG responses distinguished between different types of social interactions (mutual gaze vs joint attention) even later, around 500 ​ms after image onset. Taken together, these results suggest that the human brain spontaneously extracts information about others' social interactions, but does so slowly, likely relying on iterative top-down computations.

摘要

感知他人社交互动的能力,这里定义为两个人或更多人之间的定向伴随动作,是人类经验的基本组成部分,它在婴儿期早期发展,并与其他灵长类动物共享。然而,这种能力的神经计算在很大程度上仍然未知。社交互动识别是一个快速的前馈过程,还是一个较慢的后感知推断?在这里,我们使用脑磁图(MEG)解码来解决这个问题。MEG 中的受试者观看视觉匹配的真实场景的快照,其中包含一对人,他们要么正在进行社交互动,要么独立行动。即使受试者执行正交任务,也可以从他们的 MEG 数据中自发地读取社交互动的存在与否。这种读取可以跨不同的人和场景进行概括,揭示了人类大脑中社交互动的抽象表示。然而,这些表示直到图像出现后 300 毫秒才出现,远在视觉前馈过程之后。在第二个实验中,我们发现即使在受试者执行明确的社交互动检测任务时,社交互动的读取仍然在相同的晚潜伏期发生。我们进一步表明,即使在图像出现后约 500 毫秒,MEG 响应也可以区分不同类型的社交互动(相互注视与共同关注)。总的来说,这些结果表明,人类大脑会自发地提取关于他人社交互动的信息,但速度较慢,可能依赖于迭代的自上而下的计算。

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