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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >The hand sees visual periphery better than the eye: Motor-dependent visual motion analyses
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The hand sees visual periphery better than the eye: Motor-dependent visual motion analyses

机译：手比眼睛更好地看到视觉外围：与运动有关的视觉运动分析

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摘要

Information pertaining to visual motion is used in the brain not only for conscious perception but also for various kinds of motor controls. In contrast to the increasing amount of evidence supporting the dissociation of visual processing for action versus perception, it is less clear whether the analysis of visual input is shared for characterizing various motor outputs, which require different kinds of interactions with environments. Here we show that, in human visuomotor control, motion analysis for quick hand control is distinct from that for quick eye control in terms of spatiotemporal analysis and spatial integration. The amplitudes of implicit and quick hand and eye responses induced by visual motion stimuli differently varied with stimulus size and pattern smoothness (e.g., spatial frequency). Surprisingly, the hand response did not decrease even when the visual motion with a coarse pattern was mostly occluded over the visual center, whereas the eye response markedly decreased. Since these contrasts cannot be ascribed to any difference in motor dynamics, they clearly indicate different spatial integration of visual motion for the individual motor systems. Going against the overly unified hierarchical view of visual analysis, our data suggest that visual motion analyses are separately tailored from early levels to individual motor modalities. Namely, the hand and eyes see the external world differently.
机译：与视觉运动有关的信息不仅在大脑中用于有意识的感知，而且还用于各种运动控制。与支持行动与感知的视觉处理分离的证据越来越多相比，不清楚是否共享视觉输入分析来表征各种运动输出，这需要与环境进行不同类型的交互作用，这一点尚不清楚。在这里，我们表明，在人类视觉运动控制中，用于快速手部控制的运动分析与用于快速眼部控制的运动分析在时空分析和空间整合方面截然不同。视觉运动刺激引起的隐式和快速手和眼反应的幅度随刺激大小和图案平滑度（例如空间频率）而变化。令人惊讶的是，即使在视觉中心上方大部分遮挡了具有粗糙图案的视觉运动时，手部反应也没有降低，而眼睛反应却明显降低。由于这些对比不能归因于电机动力学的任何差异，因此它们清楚地表明了各个电机系统视觉运动的不同空间整合。与视觉分析的过于统一的分层视图背道而驰，我们的数据表明，视觉运动分析是根据早期水平和个别运动模式分别进行定制的。即，手和眼睛以不同的方式看待外部世界。

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