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J Vis. 2018 May 1;18(5):16. doi: 10.1167/18.5.16.

Weighted integration of short-term memory and sensory signals in the oculomotor system.

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Institute of Information and Communication Technologies, Electronics, and Applied Mathematics and Institute of Neuroscience, Université catholique de Louvain, B-1348 Louvain-La-Neuve, Belgium.
Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
Canadian Action and Perception Network (CAPnet).
Department of Kinesiology, Movement Control and Neuroplasticity Research Group, and Leuven Brain Institute, Katholieke Universiteit Leuven, Leuven, Belgium.


Oculomotor behaviors integrate sensory and prior information to overcome sensory-motor delays and noise. After much debate about this process, reliability-based integration has recently been proposed and several models of smooth pursuit now include recurrent Bayesian integration or Kalman filtering. However, there is a lack of behavioral evidence in humans supporting these theoretical predictions. Here, we independently manipulated the reliability of visual and prior information in a smooth pursuit task. Our results show that both smooth pursuit eye velocity and catch-up saccade amplitude were modulated by visual and prior information reliability. We interpret these findings as the continuous reliability-based integration of a short-term memory of target motion with visual information, which support modeling work. Furthermore, we suggest that saccadic and pursuit systems share this short-term memory. We propose that this short-term memory of target motion is quickly built and continuously updated, and constitutes a general building block present in all sensorimotor systems.

[Indexed for MEDLINE]

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