Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
School of Mathematics, Statistics & Physics, Newcastle University, Newcastle upon Tyne, UK.
J Vis. 2022 Aug 1;22(9):4. doi: 10.1167/jov.22.9.4.
Ocular accommodation is the process of adjusting the eye's crystalline lens so as to bring the retinal image into sharp focus. The major stimulus to accommodation is therefore retinal defocus, and in essence, the job of accommodative control is to send a signal to the ciliary muscle which will minimize the magnitude of defocus. In this article, we first provide a tutorial introduction to control theory to aid vision scientists without this background. We then present a unified model of accommodative control that explains properties of the accommodative response for a wide range of accommodative stimuli. Following previous work, we conclude that most aspects of accommodation are well explained by dual integral control, with a "fast" or "phasic" integrator enabling response to rapid changes in demand, which hands over control to a "slow" or "tonic" integrator which maintains the response to steady demand. Control is complicated by the sensorimotor latencies within the system, which delay both information about defocus and the accommodation changes made in response, and by the sluggish response of the motor plant. These can be overcome by incorporating a Smith predictor, whereby the system predicts the delayed sensory consequences of its own motor actions. For the first time, we show that critically-damped dual integral control with a Smith predictor accounts for adaptation effects as well as for the gain and phase for sinusoidal oscillations in demand. In addition, we propose a novel proportional-control signal to account for the power spectrum of accommodative microfluctuations during steady fixation, which may be important in hunting for optimal focus, and for the nonlinear resonance observed for low-amplitude, high-frequency input. Complete Matlab/Simulink code implementing the model is provided at https://doi.org/10.25405/data.ncl.14945550.
眼调节是调整眼睛的晶状体以使视网膜图像清晰对焦的过程。因此,调节的主要刺激是视网膜离焦,本质上,调节控制的工作是向睫状肌发送信号,使离焦程度最小化。在本文中,我们首先提供控制理论的教程介绍,以帮助没有此背景的视觉科学家。然后,我们提出了一个统一的调节控制模型,该模型解释了广泛的调节刺激下调节反应的特性。继前人的工作之后,我们得出结论,大多数调节方面都可以很好地用双积分控制来解释,其中“快速”或“相位”积分器使响应能够快速变化的需求,然后将控制交给“缓慢”或“紧张”积分器,以保持对稳定需求的响应。控制受到系统内感觉运动潜伏期的复杂性的影响,这些潜伏期延迟了离焦的信息和响应中做出的调节变化,并且运动器官的反应迟缓。通过引入史密斯预测器可以克服这些问题,该预测器使系统预测自身运动动作的延迟感觉后果。我们首次表明,具有史密斯预测器的临界阻尼双积分控制可以解释适应效应以及正弦需求波动的增益和相位。此外,我们提出了一种新的比例控制信号来解释在稳定注视时调节微波动的功率谱,这可能对寻找最佳焦点以及对低幅度、高频输入观察到的非线性共振很重要。实现该模型的完整 Matlab/Simulink 代码可在 https://doi.org/10.25405/data.ncl.14945550 获得。