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预测参数:视觉感知中自上而下影响的多维特征描述。

Parameters of prediction: Multidimensional characterization of top-down influence in visual perception.

机构信息

Department of Psychology, Goethe University Frankfurt, Germany; Mind, Brain, and Behavior Research Center, Department of Experimental Psychology, University of Granada, Spain.

Department of Psychology, University of Cambridge, UK.

出版信息

Neurosci Biobehav Rev. 2023 Oct;153:105369. doi: 10.1016/j.neubiorev.2023.105369. Epub 2023 Aug 22.

Abstract

Despite the recent popularity of predictive processing models of brain function, the term prediction is often instantiated very differently across studies. These differences in definition can substantially change the type of cognitive or neural operation hypothesised and thus have critical implications for the corresponding behavioural and neural correlates during visual perception. Here, we propose a five-dimensional scheme to characterise different parameters of prediction. Namely, flow of information, mnemonic origin, specificity, complexity, and temporal precision. We describe these dimensions and provide examples of their application to previous work. Such a characterisation not only facilitates the integration of findings across studies, but also helps stimulate new research questions.

摘要

尽管最近大脑功能的预测加工模型很流行,但在不同的研究中,“预测”这个术语的实现方式往往非常不同。这些定义上的差异会极大地改变所假设的认知或神经操作的类型,因此对视觉感知过程中的相应行为和神经相关性有重要影响。在这里,我们提出了一个五维方案来描述预测的不同参数。即信息流动、记忆起源、特异性、复杂性和时间精度。我们描述了这些维度,并提供了它们在以前工作中的应用示例。这样的描述不仅有助于整合不同研究的发现,还有助于激发新的研究问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7615211/5f37c4fb85d5/EMS188945-f001.jpg

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