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首页> 外文期刊>Journal of Computational Neuroscience >A negative group delay model for feedback-delayed manual tracking performance
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A negative group delay model for feedback-delayed manual tracking performance

机译：负群延迟模型，用于延迟反馈的手动跟踪性能

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摘要

We propose that feedback-delayed manual tracking performance is limited by fundamental constraints imposed by the physics of negative group delay. To test this hypothesis, the results of an experiment in which subjects demonstrate both reactive and predictive dynamics are modeled by a linear system with delay-induced negative group delay. Although one of the simplest real-time predictors conceivable, this model explains key components of experimental observations. Most notably, it explains the observation that prediction time linearly increases with feedback delay, up to a certain point when tracking performance deteriorates. It also explains the transition from reactive to predictive behavior with increasing feedback delay. The model contains only one free parameter, the feedback gain, which has been fixed by comparison with one set of experimental observations for the reactive case. Our model provides quantitative predictions that can be tested in further experiments.
机译：我们建议，反馈延迟的手动跟踪性能受负群延迟物理学施加的基本约束的限制。为了验证这一假设，通过一个线性系统模拟了实验结果，在该实验中，受试者证明了反应性和预测性动力学，并具有延迟诱发的负性群延迟。尽管可以想到的是最简单的实时预测器之一，但是该模型解释了实验观察的关键组成部分。最值得注意的是，它解释了以下观察结果：预测时间随反馈延迟而线性增加，直至跟踪性能下降的某个点。它还解释了随着反馈延迟的增加，从反应性行为向预测性行为的转变。该模型仅包含一个自由参数，即反馈增益，该反馈参数已通过与反应性情况的一组实验观察结果进行比较而固定。我们的模型提供了可以在进一步的实验中检验的定量预测。

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