Reaching for known unknowns: Rapid reach decisions accurately reflect the future state of dynamic probabilistic information

Reaching for known unknowns: Rapid reach decisions accurately reflect the future state of dynamic probabilistic information
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触及已知的未知:快速触及决策准确反映动态概率信息的未来状态

DOI:
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发表时间:
2020
期刊:
影响因子:
3.6
通讯作者:
Craig S. Chapman
Craig S. Chapman
中科院分区:
心理学2区
文献类型:
--
作者:
Nathan J. Wispinski;Scott A. Stone;Jennifer K. Bertrand;Alexandra A. Ouellette Zuk;Ewen Lavoie;J. Gallivan;Craig S. Chapman

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像接球这样的日常任务看起来毫不费力,但实际上需要大脑视觉系统和运动系统之间复杂的互动和紧密的时间协调。让这种拦截行动特别令人印象深刻的是大脑对中枢神经系统时间延迟的解释能力这一限制可以通过对环境和自己的行动进行预测来缓解。在这里,我们想评估人类参与者如何根据动态的,可预测的刺激计划即将到来的运动,而不是行动的目标。一个中央固定或旋转的刺激确定的概率,两个潜在的目标将是一个快速达到触摸运动的最终目标。我们研究了在何种程度上达到运动轨迹传达内部预测的未来状态的动态概率信息所传达的旋转刺激。我们发现,运动轨迹反映了在运动开始时确定的目标概率,这表明人类能够快速准确地整合视觉空间预测和对自己反应时间的估计,以有效地指导行动。
Everyday tasks such as catching a ball appear effortless, but in fact require complex interactions and tight temporal coordination between the brain’s visual and motor systems. What makes such interceptive actions particularly impressive is the capacity of the brain to account for temporal delays in the central nervous system—a limitation that can be mitigated by making predictions about the environment as well as one’s own actions. Here, we wanted to assess how well human participants can plan an upcoming movement based on a dynamic, predictable stimulus that is not the target of action. A central stationary or rotating stimulus determined the probability that each of two potential targets would be the eventual target of a rapid reach-to-touch movement. We examined the extent to which reach movement trajectories convey internal predictions about the future state of dynamic probabilistic information conveyed by the rotating stimulus. We show that movement trajectories reflect the target probabilities determined at movement onset, suggesting that humans rapidly and accurately integrate visuospatial predictions and estimates of their own reaction times to effectively guide action.
DOI: 10.3758/s13414-019-01846-w
发表时间: 2019-10-01
影响因子: 1.7
作者:
Hommel, Bernhard;Chapman, Craig S.;Welsh, Timothy N.
通讯作者: Welsh, Timothy N.
用于手动拦截的目标运动外推模型。
DOI: 10.1152/jn.00398.2009
发表时间: 2009
影响因子: 2.5
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期刊: SPATIAL VISION
影响因子: --
作者:
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通讯作者: Brainard, DH