Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3BG, UK.
Neuropsychologia. 2018 Mar;111:334-343. doi: 10.1016/j.neuropsychologia.2018.01.041. Epub 2018 Jan 31.
Given that eye movement control can be framed as an inferential process, how are the requisite forces generated to produce anticipated or desired fixation? Starting from a generative model based on simple Newtonian equations of motion, we derive a variational solution to this problem and illustrate the plausibility of its implementation in the oculomotor brainstem. We show, through simulation, that the Bayesian filtering equations that implement 'planning as inference' can generate both saccadic and smooth pursuit eye movements. Crucially, the associated message passing maps well onto the known connectivity and neuroanatomy of the brainstem - and the changes in these messages over time are strikingly similar to single unit recordings of neurons in the corresponding nuclei. Furthermore, we show that simulated lesions to axonal pathways reproduce eye movement patterns of neurological patients with damage to these tracts.
鉴于眼球运动控制可以被框定为一种推理过程，那么如何产生必要的力量来产生预期或期望的注视呢？从基于简单牛顿运动方程的生成模型出发，我们推导出了这个问题的变分解，并说明了其在眼动脑干中的实施的合理性。我们通过模拟表明，实现“规划即推理”的贝叶斯滤波方程可以产生扫视和平滑追踪眼球运动。至关重要的是，相关的消息传递很好地映射到脑干的已知连接和神经解剖结构上——并且这些消息随时间的变化与相应核团中神经元的单细胞记录非常相似。此外，我们还表明，模拟的轴突通路损伤可以再现这些轨迹受损的神经科患者的眼球运动模式。
