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首页> 外文期刊>Seeing and perceiving >On the Perceptual/Motor Dissociation: A Review of Concepts, Theory, Experimental Paradigms and Data Interpretations
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On the Perceptual/Motor Dissociation: A Review of Concepts, Theory, Experimental Paradigms and Data Interpretations

机译：关于感知/运动分离：概念，理论，实验范式和数据解释的回顾

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摘要

With its roots in Ungerleider and Mishkin's (1982) uncovering of two distinct - ventral and dorsal -anatomical pathways for the processing of visual information, and boosted by Goodale and Milner's (1992; Milner and Goodale, 1995) behavioral study of patients with lesions of either of these pathways, the perception-action dissociation became a standard reference in the sensorimotor literature. Here we present briefly the anatomical, neuropsychological and, more extensively, the, psychophysical evidence favoring such dissociation and pit it against counteracting evidence as well as against potential methodological and conceptual pitfalls. We also discuss classes of models accounting for a number of `dissociation' results and conclude that the most general and parsimonious one posits the existence of one single processing stream that accumulates information up to a decision criterion modulated by stimulation conditions, response mode (motor vs. verbal/perceptual), task constraints (speeded vs. free time responses) and the nature 'of the task (detection, discrimination, temporal order judgment, etc.). The reviewed evidence is not meant to refute or validate the hypothesis of a perceptual-motor dissociation. Rather, its main objective is to show that, beyond its self-evidence, such dissociation is difficult if not impossible to test.
机译：起源于Ungerleider和Mishkin（1982），他发现了处理视觉信息的两种截然不同的-腹侧和背侧解剖途径，并受到Goodale和Milner's（1992; Milner and Goodale，1995）对患有皮损的患者的行为研究的推动。在这两种途径中，知觉-动作解离成为感觉运动文献中的标准参考。在这里，我们简要介绍了支持这种分离的解剖学，神经心理学以及更广泛的心理物理证据，并将其与抵消证据以及潜在的方法和概念陷阱相提并论。我们还讨论了解释许多“分离”结果的模型类别，并得出结论，最一般和最简约的模型假定存在一个处理流，该处理流将信息累积到由刺激条件，响应模式（运动与（言语/感性），任务约束（速度与自由时间响应）和任务的性质（检测，区分，时间顺序判断等）。所审查的证据无意反驳或验证知觉运动分离的假设。相反，它的主要目的是表明，除了其自身的证据外，这种分离即使不是不可能的测试也是困难的。

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