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Neural correlates of social perception on response bias

机译:社会认知与反应偏见的神经相关

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Accurate person perception is crucial in social decision-making. One of the central elements in successful social perception is the ability to understand another's response bias; this is because the same behavior can represent different inner states depending on whether other people are yea-sayers or naysayers. In the present study, we have tried to investigate how the internal biases of others are perceived. Using a multi-trial learning paradigm, perceivers made predictions about a target's responses to various suggested activities and then received feedback for each prediction trial-by-trial. Our hypotheses were that (1) the internal decision criterion of the targets would be realized through repeated experiences, and (2) due to positive-negative asymmetry, yea-sayers would be recognized more gradually than naysayers through the probabilistic integration of repeated experiences. To find neural evidence that tracks probabilistic integration when forming person knowledge on response biases, we employed a model-based fMRI with a State-Space Model. We discovered that person knowledge about yea-sayers modulated several brain regions, including caudate nucleus, DLPFC, hippocampus, etc. Moreover, when person knowledge was updated with incorrect performance feedback, brain regions including the caudate nucleus, DLPFC, dmPFC, and TPJ were also involved. There were overlapping regions for both processes, caudate nucleus and DLPFC, suggesting that these regions take crucial roles in forming person knowledge with repeated feedback, while reflecting acquired information up to the current prediction.
机译:正确的人的感知对于社会决策至关重要。成功的社会认知的核心要素之一是能够理解他人的反应偏见。这是因为相同的行为可以表示不同的内部状态,具体取决于其他人是赞成者还是反对者。在本研究中,我们试图研究如何感知他人的内部偏见。感知者使用多试验学习范例,对目标对各种建议活动的反应进行预测,然后针对每个预测进行逐项试验,并获得反馈。我们的假设是:(1)目标的内部决策标准将通过重复的经验来实现,并且(2)由于正负不对称性,通过重复经验的概率整合,ye-sayers会比naysayers更加被逐渐认可。为了找到在对反应偏见形成人员知识时跟踪概率整合的神经证据,我们采用了基于模型的功能磁共振成像和状态空间模型。我们发现,关于yea-sayers的人的知识调节了多个大脑区域,包括尾状核,DLPFC,海马等。此外,当人的知识被错误的性能反馈更新时,包括尾状核,DLPFC,dmPFC和TPJ的大脑区域被也参与其中。尾状核和DLPFC这两个过程都有重叠的区域,这表明这些区域在形成具有重复反馈的人的知识方面起着至关重要的作用,同时将获得的信息反映到当前的预测中。

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