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利用感知的过去来预测感知的未来会影响当下的感知——一种新的 ERP 范式。

Using the perceptual past to predict the perceptual future influences the perceived present - A novel ERP paradigm.

机构信息

INSERM U1114, Cognitive Neuropsychology and Pathophysiology of Schizophrenia, University of Strasbourg, Strasbourg, France.

Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Freiburg, Germany.

出版信息

PLoS One. 2020 Sep 1;15(9):e0237663. doi: 10.1371/journal.pone.0237663. eCollection 2020.

Abstract

The information available through our senses is noisy, incomplete, and to varying degrees ambiguous. The perceptual system must create stable and reliable percepts out of this restricted information. It solves this perceptual inference problem by integrating memories of previous percepts and making predictions about the perceptual future. Using ambiguous figures and a new experimental approach, we studied whether generating predictions based on regularities in the past affects processing of the present and how this is done. Event-related potentials (ERPs) were measured to investigate whether a highly regular temporal context of either ambiguous or unambiguous stimulus variants differently affects processing of a current stimulus and/or task execution. Further, we tested whether symbolic announcements about the immediate perceptual future can replace the past experience of regularities as a source for making predictions. Both ERP and reaction time varied as a function of stimulus ambiguity in the temporal context of a present stimulus. No such effects were found with symbolic announcements. Our results indicate that predictions about the future automatically alter processing of the present, even if the predictions are irrelevant for the present percept and task. However, direct experiences of past regularities are necessary for predicting the future whereas symbolic information about the future is not sufficient.

摘要

通过我们的感官获得的信息是嘈杂的、不完整的,并且在不同程度上是模糊的。感知系统必须从这些有限的信息中创建稳定可靠的感知。它通过整合以前的感知记忆并对感知未来进行预测来解决这个感知推断问题。我们使用模棱两可的图形和一种新的实验方法,研究了基于过去的规律生成预测是否会影响当前的处理,以及如何做到这一点。我们测量了事件相关电位 (ERP),以研究当前刺激和/或任务执行是否受到高度规则的时间上下文的不同影响,无论是模棱两可的还是明确的刺激变体。此外,我们还测试了关于即时感知未来的符号公告是否可以替代过去的规则经验作为做出预测的来源。ERP 和反应时间都随当前刺激的时间上下文的刺激模糊性而变化。而符号公告则没有发现这样的效果。我们的结果表明,即使预测与当前感知和任务无关,对未来的预测也会自动改变当前的处理。然而,预测未来需要对过去的规律有直接的经验,而关于未来的符号信息则是不够的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b212/7462302/bd3344414646/pone.0237663.g001.jpg

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