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延长反应时间有助于消除视觉运动适应中的残余误差。

Prolonged response time helps eliminate residual errors in visuomotor adaptation.

机构信息

NemoLab - Neuromotor Behavior Laboratory, Department of Sport Science, Justus Liebig University, Giessen, Germany.

Center for Mind, Brain and Behavior (CMBB), Universities of Marburg and Giessen, Giessen, Germany.

出版信息

Psychon Bull Rev. 2021 Jun;28(3):834-844. doi: 10.3758/s13423-020-01865-x. Epub 2021 Jan 22.

Abstract

One persistent curiosity in visuomotor adaptation tasks is that participants often do not reach maximal performance. This incomplete asymptote has been explained as a consequence of obligatory computations within the implicit adaptation system, such as an equilibrium between learning and forgetting. A body of recent work has shown that in standard adaptation tasks, cognitive strategies operate alongside implicit learning. We reasoned that incomplete learning in adaptation tasks may primarily reflect a speed-accuracy tradeoff on time-consuming motor planning. Across three experiments, we find evidence supporting this hypothesis, showing that hastened motor planning may primarily lead to under-compensation. When an obligatory waiting period was administered before movement start, participants were able to fully counteract imposed perturbations (Experiment 1). Inserting the same delay between trials - rather than during movement planning - did not induce full compensation, suggesting that the motor planning interval influences the learning asymptote (Experiment 2). In the last experiment (Experiment 3), we asked participants to continuously report their movement intent. We show that emphasizing explicit re-aiming strategies (and concomitantly increasing planning time) also lead to complete asymptotic learning. Findings from all experiments support the hypothesis that incomplete adaptation is, in part, the result of an intrinsic speed-accuracy tradeoff, perhaps related to cognitive strategies that require parametric attentional reorienting from the visual target to the goal.

摘要

在视动适应任务中,一个持久存在的好奇心是,参与者通常无法达到最大性能。这种不完全的渐近线被解释为内隐适应系统中强制性计算的结果,例如学习和遗忘之间的平衡。最近的大量研究表明,在标准适应任务中,认知策略与内隐学习同时发挥作用。我们推断,适应任务中的不完全学习可能主要反映了在耗时的运动规划中存在速度-准确性权衡。在三个实验中,我们找到了支持这一假设的证据,表明加速运动规划可能主要导致补偿不足。当在运动开始前给予强制性等待期时,参与者能够完全抵消施加的扰动(实验 1)。在试验之间插入相同的延迟 - 而不是在运动规划期间 - 不会引起完全补偿,这表明运动规划间隔会影响学习渐近线(实验 2)。在最后一个实验(实验 3)中,我们要求参与者持续报告他们的运动意图。我们表明,强调明确的重新瞄准策略(同时增加规划时间)也会导致完全的渐近学习。所有实验的结果都支持这样一种假设,即不完全适应部分是内在速度-准确性权衡的结果,这可能与需要从视觉目标重新定向到目标的认知策略有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1281/8219572/943aabfb0f56/13423_2020_1865_Fig1_HTML.jpg

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