民航飞行人员视眼动功能试验和前庭眼动反射试验结果分析

目的:分析我国民航飞行驾驶员和乘务员视眼动功能试验和前庭眼动反射试验检查结果的特征,并探讨视眼动功能试验和前庭眼动反射试验检查运用于民航飞行人员日常体检的可能性.方法:应用美国EDI公司的红外视频眼震电图仪,对我国40名民航飞行驾驶员和40名乘务员,进行视眼动功能试验(包括平稳跟踪试验、视动试验和扫视跟踪试验)和前庭眼动反射试验检查,并对检查结果进行比较分析.结果:前庭眼动反射试验结果与视眼动功能试验结果一致性较好,且与视眼动功能试验相比前庭眼动反射试验具有更高的敏感性.结论:前庭眼动反射试验检查技术有高频、宽频和操作方法简便等优点,适合应用到民航飞行人员的年度体检中,对民航飞行人员的前庭功能状态进行初步评定.     

复合运动条纹刺激下的视动震颤（OKN）眼动反应

研究视动震颤眼动系统在同时包含两个二维运动的复合运动条纹刺激下的反应特性,并探讨两种子条纹运动方向的夹角和运动速度的影响。实验结果发现,在一定参数范围内,复合运动条纹引起了双重交替ＯＫＮ反应,即ＫＯＮ交替地跟踪合成运动和分别运动;在跟踪分别运动中,又是交替地跟踪两种子条纹的运动。     

OKN眼动跟踪在运动文字识别中的作用

用运动文字的阅读眼动实验来研究运动图像识别与眼动控制的关系,并与一般OKN眼动及一般正常阅读进行对比,探讨了速度及位置信息处理与内容信息处理的关系.实验结果表明;(1)一般正常文字阅读的眼动是Saccades眼动与注视停顿;运动文字识别阅读的眼动中没有注视停顿,而是快、慢交替的OKN眼动,在其慢相期间即运动文字与视网膜相对静止期间采集内容信息进行处理,慢相期间既处理文字内容信息又处理运动速度信息,说明对运动速度与内容信息的处理是并行的.(2)在运动文字运动速度高达80°/s以上时,已不能阅读甚至不能识别单字意义,但仍可产生OKN眼动;这一方面证实阅读速度的受限不在于眼球运动的跟踪能力,而在于高级识别中枢的解码速度,另一方面也说明OKN眼动不是在识别后才产生,而是进行运动图象识别的必要条件.(3)运动文字识别阅读的速度不低于一般正常文字阅读的速度.本文的结果还证实OKN眼动的快相眼动有别于Foveating Saccades.     

蝇视系统的图形—背景分辨和初级模式分辨

本文通过行为实验及计算机模拟进一步证明,蝇视系统的自发模式辨别可以看作是图形—背景分辨的特殊情况.关键在于蝇的模式分辨是由运动检测器实现的.运动检测器不仅对模式速度反应,也对模式的结构特性反应.本文提出,人视系统的模式分辨也可能部分地由运动检测器来实现.     

视动震颤(OKN)眼动控制系统中的颜色通道

用亮度相等的不同颜色构成的等亮度彩色运动条纹(Isoluminant chromatic moving gratings)来进行OKN眼动跟踪实验,探讨它是否与由亮度差别构成的黑白运动条纹图象一样引起OKN反应。实验结果表明在等亮度彩色运动条纹图象(没有亮度差别只有颜色差别)刺激下,视动系统可产生与黑白运动条纹刺激下同样的OKN反应,并且与各单原色运动条纹刺激下的OKN反应也一致。说明0KN眼动跟踪中的运动检测存在颜色通道。本文并提出了一种基于颜色的运动检测模型。     

自由飞行蜜蜂跟踪运动目标的研究

本文对自由飞行蜜蜂跟踪运动目标的能力进行了研究.实验结果表明蜜蜂能够准备地跟踪运动目标.当目标的距离较大时蜜蜂主要通过校正与目标的角度偏差接近目标.无论是在水平方向或是垂直方向,密蜂使用了目标误差角以及目标相对蜜蜂的角速度的信息.蜜蜂的运动目标跟踪控制系统,往往把目标置于复眼的前下方体轴夹角约35度的视场区域中.目标与背景颜色对(?)的的实验结果表明蜜蜂跟踪行为所利用的目标的速度的信息是来自于对绿色敏感的光感受器:而与目标位置有关的方位角的信息则不仅仅来自于绿色光感受器,而且也来自于兰色光感受器.当蜜蜂与目标的距离较近时,蜜蜂除了角度校正以外还使用了横向移动来跟踪运动目标.横向目标跟踪系统看来仅仅接受来自于对绿色敏感的光感受器的信号.     

鳜鱼视觉特性及其对捕食习性适应的研究III．视觉对猎物运动和形状的反应

作者采用行为学方法测定了伏击型凶猛鱼类鳜鱼视觉对猎物运动和形状特征的反应特性.鳜鱼对3种不同体形饵料鱼有最强的跟踪反应和攻击反应,对虾则有较强的跟踪反应而几乎没有攻击反应,对蜻蜒幼虫仅有不强的跟踪反应而完全没有攻击反应.它对低速(v≤5cm/s)一连续和等间歇不连续运动的饵料鱼有较强的跟踪反应和攻击反应,对中速和高速(v≥10cm/s)连续运动的饵料鱼有最强的跟踪反应而几乎没有或完全没有攻击反应,对中速和高速等间歇不连续运动的饵料鱼则有最强的跟踪反应和最强的攻击反应.它对不连续运动的a、b、c、d、e、f6种形状均有跟踪反应,但近距离跟踪反应的强度与形状特征有关系,对不连续运动的b、c、d3种形状完全没有攻击反应,而对不连续运动的a、e、f3种形状则有依次增强的攻击反应.鳜鱼视觉可对猎物运动进行远距离的识别,并决定其对猎物的远距离跟踪反应.且其视觉仅能对猎物的大致形状进行近距离识别,并决定其对猎物的近距离跟踪反应和攻击反应.       

兔先天性青光眼的临床研究

目的 总结兔先天性青光眼的临床特点。方法 对先天性青光眼兔和正常兔进行临床观察,研究其在眼压、眼球结构、视功能方面的变化。结果 青光眼兔的眼压明显升高,角膜直径变大,前房变深,眼轴变长,房角变宽,眼底视乳头损害明显,视觉诱发电位明显异常。结论 兔先天性青光眼的房水排泄障碍部位可能在小梁,兔眼球壁对高眼压的耐受力弱,在高眼压下容易出现眼球扩张,视功能损害。     

昆虫视觉系统平行加工通道研究

许多飞行的昆虫能够借助它们的视觉发现、跟踪、识别、捕获对它们有意义的目标,有些昆虫例如蜜蜂、蝴蝶、蜻蜓等与高等的动物一样,它们也具有空间视觉、运动视觉和颜色视觉,这些视觉信息是如何进行加工的,其加工通道之间的相互关系如何,阐明这些问题对解释视知觉的形成是很重要的.由于昆虫神经系统比人和哺乳动物神经系统简单得多,其神经元的数量亦少得多,因此我们选择了以昆虫的视觉系统为模型系统对此问题进行研究.本文把1986年以来我们对此问题开展行为分析和神经生理学研究所取得的结果以及与此有关的工作综述如下.     

中国胎儿眼球色素层的发育

眼球色素层是人体色素发生最早的区域,在眼球的发生过程中,这一层结构占有重要的地位。有尾两栖类色素层能再生视网膜、晶体与虹膜。两栖类视杯的部分色素层能再生整个的视杯。鸟类与哺乳类的视杯的色素层已经实验证明具有转变成视网膜的潜在能力。这一层在形态学方面,人眼组织学中记载比较简略,人眼发生学中的研究迄今亦尚不多见。     

Extra-retinal adaptation of cortical motion-processing areas during pursuit eye movements

Repetitive eye movement produces a compelling motion aftereffect (MAE). One mechanism thought to contribute to the illusory movement is an extra-retinal motion signal generated after adaptation. However, extra-retinal signals are also generated during pursuit. They modulate activity within cortical motion-processing area MST, helping transform retinal motion into motion in the world during an eye movement. Given the evidence that MST plays a key role in generating MAE, it may also become indirectly adapted by prolonged pursuit. To differentiate between these two extra-retinal mechanisms we examined storage of the MAE across a period of darkness. In one condition observers were told to stare at a moving pattern, an instruction that induces a more reflexive type of eye movement. In another they were told to deliberately pursue it. We found equally long MAEs when testing immediately after adaptation but not when the test was delayed by 40 s. In the case of the reflexive eye movement the delay almost completely extinguished the MAE, whereas the illusory motion following pursuit remained intact. This suggests pursuit adapts cortical motion-processing areas whereas unintentional eye movement does not. A second experiment showed that cortical mechanisms cannot be the sole determinant of pursuit-induced MAE. Following oblique pursuit, we found MAE direction changes from oblique to vertical. Perceived MAE direction appears to be influenced by a subcortical mechanism as well, one based on the relative recovery rate of horizontal and vertical eye-movement processes recruited during oblique pursuit.     

The effect of eye movement on the control of arm movement to a target

Abstract

The purpose of this study was to investigate the effect of eye movement on the control of arm movement to a target. Healthy humans flexed the elbow to a stationary target in response to a start tone. Simultaneously, the subject moved the eyes to the target (saccade eye movement), visually tracked a laser point moving with the arm (smooth pursuit eye movement), or gazed at a stationary start point at the midline of the horizontal visual angle (non-eye movement—NEM). Arm movement onset was delayed when saccade eye movement accompanied it. The onset of an electromyographic burst in the biceps muscle and the onset of saccade eye movement were almost simultaneous when both the arm and the eyes moved to the target. Arm movement duration during smooth pursuit eye movement was significantly longer than that during saccade eye movement or NEM. In spite of these findings, amplitudes of motor-evoked potential in the biceps and triceps brachii muscles were not significantly different among the eye movement conditions. These findings indicate that eye movement certainly affects the temporal control of arm movement, but may not affect corticospinal excitability in the arm muscles during arm movement.     

Cortical mechanisms of smooth eye movements revealed by dynamic covariations of neural and behavioral responses

Neural activity in the frontal eye fields controls smooth pursuit eye movements, but the relationship between single neuron responses, cortical population responses, and eye movements is not well understood. We describe an approach to dynamically link trial-to-trial fluctuations in neural responses to parallel variations in pursuit and demonstrate that individual neurons predict eye velocity fluctuations at particular moments during the course of behavior, while the population of neurons collectively tiles the entire duration of the movement. The analysis also reveals the strength of correlations in the eye movement predictions derived from pairs of simultaneously recorded neurons and suggests a simple model of cortical processing. These findings constrain the primate cortical code for movement, suggesting that either a few neurons are sufficient to drive pursuit at any given time or that many neurons operate collectively at each moment with remarkably little variation added to motor command signals downstream from the cortex.     

Cursive writing with smooth pursuit eye movements

The eyes never cease to move: ballistic saccades quickly turn the gaze toward peripheral targets, whereas smooth pursuit maintains moving targets on the fovea where visual acuity is best. Despite the oculomotor system being endowed with exquisite motor abilities, any attempt to generate smooth eye movements against a static background results in saccadic eye movements [1, 2]. Although exceptions to this rule have been reported [3-5], volitional control over smooth eye movements is at best rudimentary. Here, I introduce a novel, temporally modulated visual display, which, although static, sustains smooth eye movements in arbitrary directions. After brief training, participants gain volitional control over smooth pursuit eye movements and can generate digits, letters, words, or drawings at will. For persons deprived of limb movement, this offers a fast, creative, and personal means of linguistic and emotional expression.     

New methods for removing saccades in analysis of smooth pursuit eye movement

New computation methods for removing saccades in analysis of smooth pursuit eye movement characteristics were developed. They have removed saccades more completely than previous methods, and were very effective especially for noisy data recorded by the EOG method. The fully developed method was applicable to eye movement data in tracking of pseudo-random target movement as well as deterministic target movement. Furthermore, the methods were also useful for extracting the number and magnitudes of saccades more precisely.     

Tuning Properties of MT and MSTd and Divisive Interactions for Eye-Movement Compensation

The primate brain intelligently processes visual information from the world as the eyes move constantly. The brain must take into account visual motion induced by eye movements, so that visual information about the outside world can be recovered. Certain neurons in the dorsal part of monkey medial superior temporal area (MSTd) play an important role in integrating information about eye movements and visual motion. When a monkey tracks a moving target with its eyes, these neurons respond to visual motion as well as to smooth pursuit eye movements. Furthermore, the responses of some MSTd neurons to the motion of objects in the world are very similar during pursuit and during fixation, even though the visual information on the retina is altered by the pursuit eye movement. We call these neurons compensatory pursuit neurons. In this study we develop a computational model of MSTd compensatory pursuit neurons based on physiological data from single unit studies. Our model MSTd neurons can simulate the velocity tuning of monkey MSTd neurons. The model MSTd neurons also show the pursuit compensation property. We find that pursuit compensation can be achieved by divisive interaction between signals coding eye movements and signals coding visual motion. The model generates two implications that can be tested in future experiments: (1) compensatory pursuit neurons in MSTd should have the same direction preference for pursuit and retinal visual motion; (2) there should be non-compensatory pursuit neurons that show opposite preferred directions of pursuit and retinal visual motion.     

Frame of reference transformations in motion perception during smooth pursuit eye movements

Smooth pursuit eye movements change the retinal image velocity of objects in the visual field. In order to change from a retinocentric frame of reference into a head-centric one, the visual system has to take the eye movements into account. Studies on motion perception during smooth pursuit eye movements have measured either perceived speed or perceived direction during smooth pursuit to investigate this frame of reference transformation, but never both at the same time. We devised a new velocity matching task, in which participants matched both perceived speed and direction during fixation to that during pursuit. In Experiment 1, the velocity matches were determined for a range of stimulus directions, with the head-centric stimulus speed kept constant. In Experiment 2, the retinal stimulus speed was kept approximately constant, with the same range of stimulus directions. In both experiments, the velocity matches for all directions were shifted against the pursuit direction, suggesting an incomplete transformation of the frame of reference. The degree of compensation was approximately constant across stimulus direction. We fitted the classical linear model, the model of Turano and Massof (2001) and that of Freeman (2001) to the velocity matches. The model of Turano and Massof fitted the velocity matches best, but the differences between de model fits were quite small. Evaluation of the models and comparison to a few alternatives suggests that further specification of the potential effect of retinal image characteristics on the eye movement signal is needed.     

Saccadic adaptation to moving targets

Saccades are so called ballistic movements which are executed without online visual feedback. After each saccade the saccadic motor plan is modified in response to post-saccadic feedback with the mechanism of saccadic adaptation. The post-saccadic feedback is provided by the retinal position of the target after the saccade. If the target moves after the saccade, gaze may follow the moving target. In that case, the eyes are controlled by the pursuit system, a system that controls smooth eye movements. Although these two systems have in the past been considered as mostly independent, recent lines of research point towards many interactions between them. We were interested in the question if saccade amplitude adaptation is induced when the target moves smoothly after the saccade. Prior studies of saccadic adaptation have considered intra-saccadic target steps as learning signals. In the present study, the intra-saccadic target step of the McLaughlin paradigm of saccadic adaptation was replaced by target movement, and a post-saccadic pursuit of the target. We found that saccadic adaptation occurred in this situation, a further indication of an interaction of the saccadic system and the pursuit system with the aim of optimized eye movements.     

The representation of time for motor learning

We have identified factors that control precise motor timing by studying learning in smooth pursuit eye movements. Monkeys tracked a target that moved horizontally for a fixed time interval before changing direction through the addition of a vertical component of motion. After repeated presentations of the same target trajectory, infrequent probe trials of purely horizontal target motion evoked a vertical eye movement around the time when the change in target direction would have occurred. The pursuit system timed the vertical eye movement by keeping track of the duration of horizontal target motion and by measuring the distance the target traveled before changing direction, but not by learning the position in space where the target changed direction. We conclude that high temporal precision in motor output relies on multiple signals whose contributions to timing vary according to task requirements.