Level and mechanisms of perceptual learning: Learning first-order luminance and second-order texture objects
Level and mechanisms of perceptual learning: Learning first-order luminance and second-order texture objects
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DOI：
10.1016/j.visres.2005.11.025
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发表时间：
2006-06-01
期刊：
影响因子：
1.8
通讯作者：
Lu, Zhong-Lin
中科院分区：
文献类型：
--
作者：
Dosher, Barbara Anne;Lu, Zhong-Lin
知觉学习是知觉任务绩效的提高，反映了知觉系统的可塑性。研究了两种物体定向任务的练习效果：一阶亮度物体任务和二阶纹理物体任务。知觉学习在一阶任务中很少或不存在，但对于二阶(纹理)任务，知觉学习始终存在，其中它仅限于改善低外部噪声条件，或刺激增强[Dosher，B.，&Lu，Z.-L。(1998年)。感知学习通过通道重新加权反映外部噪声过滤和内部噪声降低。美国国家科学院学报，95(23)13988-13993；Dosher，B.，&Lu，Z.-L。(1999年)。知觉学习的机制。视觉研究，39(19)3197-3221]，与一阶和二阶运动加工中的注意效应类似[Lu，Z.-L.，Liu，C.Q.，&Dosher，B.(2000)]。多位置一阶和二阶运动知觉的注意机制。视觉研究，40(2)173-186]。知觉学习影响知觉分析的后期阶段，可能局限于V2或以上。对于二阶刺激的固有噪声表示，它用来相对于限制内部噪声来放大刺激。(C)2006年，爱思唯尔有限公司出版。
Perceptual learning is an improvement in perceptual task performance reflecting plasticity in the perceptual system. Practice effects were studied in two object orientation tasks: a first order, luminance object task and a second-order, texture object task. Perceptual learning was small or absent in the first-order task, but consistently occurred for the second-order (texture) task, where it was limited to improvements in low external noise conditions, or stimulus enhancement [Dosher, B., & Lu, Z. -L. (1998). Perceptual learning reflects external noise filtering and internal noise reduction through channel reweighting. Proceedings of the National Academy of Sciences of the United States of America, 95 (23) 13988-13993; Dosher, B., & Lu, Z. -L. (1999). Mechanisms of perceptual learning. Vision Research, 39 (19) 3197-3221], analogous to attention effects in first- and second-order motion processing [Lu, Z. -L., Liu, C. Q., & Dosher, B. (2000). Attention mechanisms for multi-location first- and second-order motion perception. Vision Research, 40 (2) 173-186]. Perceptual learning affected the later, post-rectification, stages of perceptual analysis, possibly localized at V2 or above. It serves to amplify the stimulus relative to limiting internal noise for intrinsically noisy representations of second-order stimuli. (c) 2006 Published by Elsevier Ltd.