Varsha, V and Murthy, A and Padhi, R (2021) A Stochastic Optimal Control Model with Internal Feedback and Velocity Tracking for Saccadic Eye Movements. In: Biomedical Signal Processing and Control, 68 .
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Abstract
A new stochastic optimal control model with internal feedback and velocity tracking is presented in this paper to study saccadic eye movement control. Recent evidence from neurophysiological studies of superior colliculus suggests the presence of a dynamic input to the saccade generation system that encodes saccade velocity, rather than just the static information of the desired saccade amplitude and direction. The new evidence makes it imperative to test if the saccadic control system can use a desired velocity input to achieve accurate behavioral outcomes. To test such a velocity-based architecture of saccade control, a new optimal control tracking model that incorporated two unique characteristics of internal feedback and stochasticity has been developed. The proposed model was validated using behavioral data of saccades generated by healthy human subjects in an experimental setup. The model was able to generate displacement and velocity trajectories of horizontal saccades made to different amplitudes and predict saccades made to vertical and oblique directions. It captured the main sequence relationship between saccade amplitude and peak velocities that were observed in the behavioral data. This paper presents a novel optimal control framework with tracking and internal feedback and proposes the first-ever model of the saccadic system that uses an alternate interpretation of velocity-based control, contrary to the dominant end-point based models available in the literature. © 2021 Elsevier Ltd
Item Type: | Journal Article |
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Publication: | Biomedical Signal Processing and Control |
Publisher: | Elsevier Ltd |
Additional Information: | The copyright for this article belongs to Authors |
Keywords: | adult; article; control system; controlled study; eye movement control; female; human; human experiment; male; saccadic velocity; stochastic model; superior colliculus |
Department/Centre: | Division of Biological Sciences > Centre for Neuroscience Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
Date Deposited: | 17 Aug 2021 12:02 |
Last Modified: | 17 Aug 2021 12:02 |
URI: | http://eprints.iisc.ac.in/id/eprint/69163 |
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