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首页> 美国卫生研究院文献>Journal of Neurophysiology >Control of Movement: Evidence of common and separate eye and hand accumulators underlying flexible eye-hand coordination
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Control of Movement: Evidence of common and separate eye and hand accumulators underlying flexible eye-hand coordination

机译：运动控制：灵活的眼手协调基础的共同和独立的眼睛和手部累加器的证据

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Eye and hand movements are initiated by anatomically separate regions in the brain, and yet these movements can be flexibly coupled and decoupled, depending on the need. The computational architecture that enables this flexible coupling of independent effectors is not understood. Here, we studied the computational architecture that enables flexible eye-hand coordination using a drift diffusion framework, which predicts that the variability of the reaction time (RT) distribution scales with its mean. We show that a common stochastic accumulator to threshold, followed by a noisy effector-dependent delay, explains eye-hand RT distributions and their correlation in a visual search task that required decision-making, while an interactive eye and hand accumulator model did not. In contrast, in an eye-hand dual task, an interactive model better predicted the observed correlations and RT distributions than a common accumulator model. Notably, these two models could only be distinguished on the basis of the variability and not the means of the predicted RT distributions. Additionally, signatures of separate initiation signals were also observed in a small fraction of trials in the visual search task, implying that these distinct computational architectures were not a manifestation of the task design per se. Taken together, our results suggest two unique computational architectures for eye-hand coordination, with task context biasing the brain toward instantiating one of the two architectures.>NEW & NOTEWORTHY Previous studies on eye-hand coordination have considered mainly the means of eye and hand reaction time (RT) distributions. Here, we leverage the approximately linear relationship between the mean and standard deviation of RT distributions, as predicted by the drift-diffusion model, to propose the existence of two distinct computational architectures underlying coordinated eye-hand movements. These architectures, for the first time, provide a computational basis for the flexible coupling between eye and hand movements.
机译：眼睛和手部运动是由大脑中解剖学上分开的区域启动的，但是根据需要，这些运动可以灵活地耦合和分离。使独立的效应器的这种灵活的耦合成为可能的计算架构尚不清楚。在这里，我们研究了使用漂移扩散框架实现灵活的人眼协调的计算体系结构，该框架预测了反应时间（RT）分布的可变性随其平均值而定。我们表明，一个常见的随机累加器达到阈值，然后是一个嘈杂的，依赖于效应器的延迟，可以解释需要决策的视觉搜索任务中的手眼RT分布及其相关性，而不需要进行交互的手眼累加器模型。相反，在双眼任务中，交互式模型比普通的累加器模型更好地预测了观察到的相关性和RT分布。值得注意的是，这两个模型只能基于可变性而不是预测的RT分布的平均值进行区分。此外，在视觉搜索任务的一小部分试验中也观察到了单独的启动信号的签名，这意味着这些不同的计算体系结构本身并不是任务设计的体现。两者合计，我们的结果提出了用于眼手协调的两种独特的计算架构，任务上下文使大脑偏向于实例化这两种架构之一。> NEW＆NOTEWORTHY 以前有关眼手协调的研究主要考虑了眼睛和手的反应时间（RT）分布的平均值。在这里，我们利用漂移扩散模型所预测的，利用RT分布的均值和标准差之间的近似线性关系，提出了存在协调的眼手运动的两种不同的计算架构。这些架构首次为眼睛和手部运动之间的灵活耦合提供了计算基础。

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