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知觉学习通过通道重新加权反映了外部噪声过滤和内部噪声降低。

Perceptual learning reflects external noise filtering and internal noise reduction through channel reweighting.

作者信息

Dosher B A, Lu Z L

机构信息

Department of Cognitive Sciences, Institute of Mathematical Behavioral Sciences, and Center for Neurobiology of Learning and Memory, University of California, Irvine, CA 92697, USA.

出版信息

Proc Natl Acad Sci U S A. 1998 Nov 10;95(23):13988-93. doi: 10.1073/pnas.95.23.13988.

Abstract

To investigate the nature of plasticity in the adult visual system, perceptual learning was measured in a peripheral orientation discrimination task with systematically varying amounts of external (environmental) noise. The signal contrasts required to achieve threshold were reduced by a factor or two or more after training at all levels of external noise. The strong quantitative regularities revealed by this novel paradigm ruled out changes in multiplicative internal noise, changes in transducer nonlinearites, and simple attentional tradeoffs. Instead, the regularities specify the mechanisms of perceptual learning at the behavioral level as a combination of external noise exclusion and stimulus enhancement via additive internal noise reduction. The findings also constrain the neural architecture of perceptual learning. Plasticity in the weights between basic visual channels and decision is sufficient to account for perceptual learning without requiring the retuning of visual mechanisms.

摘要

为了研究成年视觉系统可塑性的本质,我们在一个外周方向辨别任务中测量了感知学习,该任务中外部(环境)噪声的量系统地变化。在所有外部噪声水平下训练后,达到阈值所需的信号对比度降低了两倍或更多。这种新范式揭示的强大定量规律排除了乘法内部噪声的变化、换能器非线性的变化以及简单的注意力权衡。相反,这些规律将行为水平上的感知学习机制指定为通过减少加性内部噪声来排除外部噪声和增强刺激的组合。这些发现还限制了感知学习的神经结构。基本视觉通道和决策之间权重的可塑性足以解释感知学习,而无需视觉机制的重新调整。

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External noise distinguishes attention mechanisms.外部噪声区分注意力机制。
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