Social Brain Lab, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Art and Sciences, Meibergdreef 47, Amsterdam 1105 BA, the Netherlands; Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands.
Department of Clinical and Health Psychology, University of Vienna, Wien, Austria.
Neurosci Biobehav Rev. 2024 Dec;167:105877. doi: 10.1016/j.neubiorev.2024.105877. Epub 2024 Sep 10.
Traditionally, the neural basis of social perception has been studied by showing participants brief examples of the actions or emotions of others presented in randomized order to prevent participants from anticipating what others do and feel. This approach is optimal to isolate the importance of information flow from lower to higher cortical areas. The degree to which feedback connections and Bayesian hierarchical predictive coding contribute to how mammals process more complex social stimuli has been less explored, and will be the focus of this review. We illustrate paradigms that start to capture how participants predict the actions and emotions of others under more ecological conditions, and discuss the brain activity measurement methods suitable to reveal the importance of feedback connections in these predictions. Together, these efforts draw a richer picture of social cognition in which predictive coding and feedback connections play significant roles. We further discuss how the notion of predicting coding is influencing how we think of autism spectrum disorder.
传统上，通过向参与者展示他人行为或情绪的简短示例，并以随机顺序呈现，以防止参与者预测他人的行为和感受，来研究社会感知的神经基础。这种方法最适合将信息流的重要性从较低的皮质区域隔离到较高的皮质区域。反馈连接和贝叶斯分层预测编码对哺乳动物处理更复杂的社会刺激的程度的贡献程度研究得较少，这将是本综述的重点。我们举例说明了开始在更生态的条件下捕捉参与者如何预测他人的行为和情绪的范式，并讨论了适合揭示这些预测中反馈连接重要性的大脑活动测量方法。总之，这些努力描绘了一个更丰富的社会认知图景，其中预测编码和反馈连接起着重要作用。我们进一步讨论了预测编码的概念如何影响我们对自闭症谱系障碍的看法。
