Perceptual learning changes the amplitude not the shape of the temporal window of visual processing.

IF 2.2 2区 心理学 Q2 PSYCHOLOGY
Liang Lin, Xiaowei Ruan, Renjie Liu, Jinli Zhu, Wenhua Zhang, Zhong-Lin Lu, Fan Lu, Fang Hou
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引用次数: 0

Abstract

Perceptual learning (PL) can significantly improve human performance in perceptual tasks primarily through template reweighting. Previous studies have documented how PL changes perceptual template in stimulus feature space. We investigated how PL reweights visual information in time. With a dynamic external noise paradigm and the elaborated perceptual template model (ePTM) analysis, we found that training with an orientation identification task in the zero external noise condition reduced contrast thresholds in both zero and high external noise conditions, whereas training in the high external noise condition only reduced contrast thresholds in high external noise conditions. The ePTM analysis showed that training in both zero and high external noise changed the overall amplitude, but not the shape of the temporal window of the perceptual template to exclude external noise across time, and training in zero external noise additionally reduced additive internal noise. Our results provided additional constraints for models of PL. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

知觉学习改变的是视觉加工时间窗口的振幅而非形状。
知觉学习(Perceptual Learning,PL)主要通过模板重权来显著提高人类在知觉任务中的表现。以往的研究已经记录了感知学习如何改变刺激特征空间中的感知模板。我们研究了 PL 如何在时间上对视觉信息重新加权。通过动态外部噪声范例和精心设计的感知模板模型(ePTM)分析,我们发现在零外部噪声条件下进行方位识别任务训练可降低零外部噪声和高外部噪声条件下的对比度阈值,而在高外部噪声条件下进行的训练只能降低高外部噪声条件下的对比度阈值。ePTM 分析表明,在零外部噪音和高外部噪音条件下进行的训练改变了感知模板的整体振幅,但没有改变其时间窗口的形状,从而在不同时间段排除了外部噪音。我们的研究结果为PL模型提供了额外的约束条件。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
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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来源期刊
CiteScore
4.30
自引率
3.80%
发文量
163
审稿时长
4-8 weeks
期刊介绍: The Journal of Experimental Psychology: Learning, Memory, and Cognition publishes studies on perception, control of action, perceptual aspects of language processing, and related cognitive processes.
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