通过多元模式分析揭示预测的编码和感知特征的锐化。

Brain and neuroscience advances Pub Date : 2023-09-21 eCollection Date: 2023-01-01 DOI:10.1177/23982128231200722
Sung-Mu Lee, Petar Raykov, Andrea Greve
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引用次数: 0

摘要

Blank、Alink和Büchel最近的一项研究使用多变量神经成像来研究人脑如何处理与面部相关的期望强度,并探索这些期望是否在处理面部刺激的相同区域中表现出来。根据预测编码理论,他们的研究提供了令人信服的证据,证明大脑根据预期的确定性调整其处理。这只发生在高级人脸敏感区域内,而不是整个处理层次中。在这里,我们批判性地讨论了这些发现,并概述了未来研究的潜在方向,以更好地了解人脑是如何期望、处理和感知图像的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Unveiling coding of prediction and sharpening of perceptual features through multivariate pattern analysis.

A recent study by Blank, Alink and Büchel, uses multivariate neuroimaging to investigate how the human brain processes the strength of face-related expectations and explores whether these expectations are represented in the same regions that process facial stimuli. In line with predictive coding theories, their study presents compelling evidence that the brain adjusts its processing based on the certainty of expectations. This occurs exclusively within high-level face-sensitive regions, rather than across the entire processing hierarchy. Here we critically discuss these findings and outline potential directions for future research to better understand how the human brain expects, processes, and perceives images.

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