Book review |
A technical eye inspired by biology
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The book by Nicholas J. Wade and Benjamin W. TatlerThe Moving Tablet of the Eyeprovides a fascinating and invaluable survey of the origins of modern eye movement research. As the authors state, there are numerous histories of optics and ophthalmology, but only a very few about eye movements. In the rare instances when they have been assayed historically, it has been in terms of their malfunction rather than normal operation. The title of their book is taken from the poem The Temple of Nature by Erasmus Darwin, who attributed considerable theoretical importance to eye movements. Using a candle flame as light source, he examined them experimentally by means of after-images, as did William Charles Wells (17571817). Changes in position of the afterimage on a wall or screen reflect saccadic or pursuit eye movements. The book reveals in an educational and also entertaining way many fascinating aspects not only of ancient and modern eye measurement devices but also of visual perceptual mechanisms and illusions, and the history of eye movement terminology. The term after-image (Nachbild) was used by Purkinje (1823) and was taken up by Fechner (1838)
in his more detailed study of eye movements. Wade and Tatler also provide us with a rich source of portraits of influential scientists, scientific drawings and photographs of experimental setups, apparatuses and recordings.
All such historical presentations of ocular motor science tend to make evident the proximity of biology and technology, and how they interact. This is perhaps best seen in Ruete's ophthalmotrope. An illustration of it made by Helmholtz appears in the book, and recently we found a wooden model of this device in the archives of a German Department of Ophthalmology (Fig. 1).
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The current research on eye movement control now concentrates on this special relationship between biology and technology, a development that David R. Robinson with his engineering approach to neuroscience revolutionized (Robinson, 1981
Nowadays it is obvious that the problems of sensorimotor control of biological systems are related to the control of technical systems. Indeed, the quantitative analysis of a biological system is not possible without first constructing a simple algorithmic model. A model can provide important insights into the structure of a system, and it does increase our understanding of the system itself. Modelling can also reveal the logical errors of simple clinical concepts. Moreover, to be able to simulate the complete or incomplete failure of a single element or an entire pathway permits us to pose direct clinical questions: questions about syndromes not yet observed, about the localization of the damage, and the mechanisms involved (Brandt, 2001
).
Let us take the vestibulo-ocular reflex as an example. A basic model of the vestibulo-ocular reflex consists of measurable quantities of system input (e.g. a head velocity), which influence system components that communicate with each other and are also directly and reciprocally coupled. System output is again defined as measurable quantities (e.g. eye position). In a model in which the input is a head turn and the output eye movements, the vestibulo-ocular reflex drives the eyes to move in the opposite direction of the turning head. This keeps the gaze on the target stable. Static models describe the vestibular ocular reflex by means of mathematical matrices, whereas dynamic models use elements of linear system theory, such as high and low pass filters.
Another approach uses neuronal networks with non-linear features of model neurons and their connections. By means of such networks, the relationship between the system elements can be weighted according to their importance and adjusted to take learning processes into account. This was accomplished in a basic version of a 3D mathematical sensorimotor feed-forward model that elucidated otolithic control of binocular static eye position (Glasauer et al., 1999
). Model input was defined as gravitational acceleration relative to the head (Fig. 2). The utricles represented coordinate transformations from head coordinates into utricular coordinates. The vestibular nuclei were assumed to transform these utricular coordinates into eye muscle coordinates and to scale the afferent information. The oculomotor nuclei weighted the information from parallel pathways like the medial longitudinal fascicle and the brachium conjunctivum. The eye muscles simply added pooled agonist and antagonist motoneuron activity. The box eye contained the transformation from eye muscle coordinates back into head coordinates. Model output was defined as eye position relative to the head and was given as rotational vectors.
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The mathematical model is depicted in Fig. 2. It can accurately simulate 3D ocular deviations of patients who have unilateral utricular loss, complete vestibular nerve failure and lesions of the vestibular nuclei or the pathways for graviception in the brainstem. To find an explanation of the mechanism underlying central positional nystagmus in neurological patients with lesions of the posterior fossa, we first had to implement the saccadic burst generator, the neural velocity to eye position integrator, including the experimentally demonstrated leakage in the torsional component, and the otolith-dependent neural control of Listing's plane as well (Glasauer et al., 2001
David Robinson's engineering concepts of eye movement control made the construction of such models possible as well as the demonstration of the elements, quantitative analysis and localization of eye movement control in animals and humans (Crawford, 1994
; Fukushima and Kaneko, 1995
). The structure, pathways and functions of eye movements are now better understood than any other biological sensorimotor system.
The book by Nicholas Wade and Benjamin Tatler contains a chapter on remote eye movement recording devices and head-mounted portable eye trackers. Such portable trackers allow monitoring of eye movements and visual exploratory behaviour in real-world activities outside the laboratory. We were inspired to combine such technical devices with the biological vestibulo-ocular reflex, which has evolved and been optimized over millions of years. We developed a new camera system for surgeons that looks where the eyes look.
This device uses voluntary and reflexive eye movements that are registered in 3D by video-oculography and then computed online as signals to drive the camera servo motors in three planes: yaw, pitch and roll (Fig. 3). Its primary objective is to allow freely mobile users to aim the optical axis of a head-mounted camera system at the target at which they are voluntarily looking in the visual field, while the ocular reflexes stabilize any image shaking by naturally counter-rolling for gaze-in-space of the camera during head and visual scene movements and during locomotion (Schneider et al., 2005
; Brandt et al., 2006
). Thus, surgeons using this camera can move their head and eyes during image acquisition without having to worry about image-shaking artefacts, and at the same time continuously document an operation. To prevent perception of apparent motion of the visual scene (oscillopsia) during rapid eye and camera movements, an artificial saccadic suppression mechanism can be incorporated, which is triggered by saccade onset. This artificial motion suppression can be achieved by repeating (freezing) the last frame acquired before saccade onset for the duration of the camera saccade. In addition, the vergence angle of the eyes delivers valuable information for a possible autofocus functionality, since this angle directly depends on the distance of the eyes from the observed object.
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Another exciting aspect of the book The Moving Tablet of the Eye is that it does not describe the work of the individual scientist in isolation but in the context of interacting ideas and findings of groups of scientists who collaborate, such as Wells and Darwin, Purkinje and Flourens or Mach, Breuer, and Crum Brown. Fortunately, the book was not conceived as an encyclopaedia, but some readers will still miss one name or the other, for example Johannes Ohm (1928)
Department of Neurology, Ludwig-Maximilians University Munich, Germany
Acknowledgements
I am grateful to Judy Benson for critically reading the manuscript.
References
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