A Neuroanatomically Grounded Optimal Control Model of the Compensatory Eye Movement System in Mice

Peter J. Holland, Tafadzwa M. Sibindi, Marik Ginzburg, Suman Das, Kiki Arkesteijn, Maarten A. Frens*, Opher Donchin

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

We present a working model of the compensatory eye movement system in mice. We challenge the model with a data set of eye movements in mice (n =34) recorded in 4 different sinusoidal stimulus conditions with 36 different combinations of frequency (0.1–3.2 Hz) and amplitude (0.5–8°) in each condition. The conditions included vestibular stimulation in the dark (vestibular-ocular reflex, VOR), optokinetic stimulation (optokinetic reflex, OKR), and two combined visual/vestibular conditions (the visual-vestibular ocular reflex, vVOR, and visual suppression of the VOR, sVOR). The model successfully reproduced the eye movements in all conditions, except for minor failures to predict phase when gain was very low. Most importantly, it could explain the interaction of VOR and OKR when the two reflexes are activated simultaneously during vVOR stimulation. In addition to our own data, we also reproduced the behavior of the compensatory eye movement system found in the existing literature. These include its response to sum-of-sines stimuli, its response after lesions of the nucleus prepositus hypoglossi or the flocculus, characteristics of VOR adaptation, and characteristics of drift in the dark. Our model is based on ideas of state prediction and forward modeling that have been widely used in the study of motor control. However, it represents one of the first quantitative efforts to simulate the full range of behaviors of a specific system. The model has two separate processing loops, one for vestibular stimulation and one for visual stimulation. Importantly, state prediction in the visual processing loop depends on a forward model of residual retinal slip after vestibular processing. In addition, we hypothesize that adaptation in the system is primarily adaptation of this model. In other words, VOR adaptation happens primarily in the OKR loop.

Original languageEnglish
Article number13
Pages (from-to)1-19
Number of pages19
JournalFrontiers in Systems Neuroscience
Volume14
DOIs
Publication statusPublished - 25 Mar 2020

Funding

Parts are based on chapters of the theses of TS (Sibindi, 2015) and SD (Das, 2017). Funding. This research was supported by the C7 Marie Curie ITN initiative (TS, PH, SD), TC2N Interreg Grant (OD, MF), the ABC Robotics Initiative (OD), and a Post-Doctoral Fellowship from the Kreitman School for Advanced Studies at BGU (PH).

FundersFunder number
Kreitman School for Advanced Studies at BGU
TC2N Interreg
Interreg

    Keywords

    • adaptation
    • forward model
    • mouse
    • OKR
    • state estimation
    • VOR

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