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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.

Author information

1
Institute of Information and Communication Technologies, Electronics, and Applied Mathematics and Institute of Neuroscience, Université catholique de Louvain, B-1348 Louvain-La-Neuve, Belgium.
2
Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
3
Canadian Action and Perception Network (CAPnet).
4
Department of Kinesiology, Movement Control and Neuroplasticity Research Group, and Leuven Brain Institute, Katholieke Universiteit Leuven, Leuven, Belgium.

Abstract

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.

PMID:
29904791
DOI:
10.1167/18.5.16
[Indexed for MEDLINE]

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