The velocity storage time constant: Balancing between accuracy and precision.
The velocity storage time constant: Balancing between accuracy and precision.
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DOI：
10.1016/bs.pbr.2019.04.038
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发表时间：
2019
影响因子：
--
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中科院分区：
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--
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速度存储机制通常被描述为直立受试者的眼速度的指数衰减，该受试者被加速到恒定速度偏航旋转。这种衰减的速度存储时间常数大约为10-30 s，这意味着对于低频头部旋转，眼睛速度和感知具有很大的误差。人们可能想知道是否有一个更长的时间常数，这将提高准确性的好处。在本文中，模拟被用来强调，提高精度可能是以增加噪声为代价的-即，降低精度。具体地说，由于速度存储机构延长了半规管的5.7 s时间常数，因此它必须在一定的频率范围内执行积分过程。事实上，所有的速度存储的数学模型都包括一个积分。这种整合也会整合神经噪声。因此，增加速度存储时间常数将导致在更宽的频率范围内积分，从而导致大脑对运动的估计中的更多噪声。仿真结果表明了这种精度-精度的折衷。最近的证据也审查支持的假设，大脑优化的速度存储时间常数，以解决这种准确性-精度的权衡在老化过程中，刺激幅度的变化。
The velocity storage mechanism is often described in terms of the exponential decay in eye velocity in an upright subject who is accelerated to a constant velocity yaw rotation. The velocity storage time constant for this decay is roughly 10–30 s, which means that for low-frequency head rotations, eye velocity and perceptions have large errors. One may wonder if there would be benefits to having a longer time constant, which would improve accuracy. In this paper, simulations are used to highlight that improved accuracy may come at the cost of increased noise – i.e., reduced precision. Specifically, since the velocity storage mechanism extends the 5.7 s time constant of the semicircular canal, it must be performing an integration process over a certain frequency range. In fact, all mathematical models of velocity storage include an integration. This integration would also integrate neural noise. Thus, increasing the velocity storage time constant would lead to integration over a wider range of frequencies, resulting in more noise in the brain’s estimate of motion. Simulation results show this accuracy-precision tradeoff. Recent evidence is also reviewed supporting the hypothesis that the brain optimizes the velocity storage time constant to resolve this accuracy-precision tradeoff during aging and with variations in stimulus amplitude.
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