The accuracy of saccadic eye movements is maintained by saccadic adaptation, a learning mechanism that is proposed to rely on visual prediction error, i.e., a mismatch between the pre-saccadically predicted and post-saccadically experienced position of the saccade target. However, recent research indicates that saccadic adaptation might be driven by postdictive motor error, i.e., a retrospective estimation of the pre-saccadic target position based on the post-saccadic image. We investigated whether oculomotor behavior can be adapted based on post-saccadic target information alone. We measured eye movements and localization judgements as participants aimed saccades at an initially invisible target, which was always shown only after the saccade. Each such trial was followed by either a pre- or a post-saccadic localization trial. The target position was fixed for the first 100 trials of the experiment and, during the following 200 trials, successively shifted inward or outward. Saccade amplitude and the pre- and post-saccadic localization judgements adjusted to the changing target position. Our results suggest that post-saccadic information is sufficient to induce error-reducing adaptive changes in saccade amplitude and target localization, possibly reflecting continuous updating of the estimated pre-saccadic target location driven by postdictive motor error.
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http://dx.doi.org/10.1038/s41598-023-35434-8 | DOI Listing |
Traffic Inj Prev
January 2025
School of Intelligent Transportation and Engineering, Guangzhou Maritime University, Guangzhou, China.
Objective: The objective of this study was to assess drivers' visual search patterns and cognitive load during driving in curved tunnels. Specifically, we aimed to investigate how different curved tunnel geometries (tunnel radii, turning directions) and zones (entrance, middle, exit) influence drivers' saccadic eye movements. This understanding can inform the development of safer tunnel designs and driving guidelines.
View Article and Find Full Text PDFJpn J Ophthalmol
January 2025
Department of Neurology, Yokohama Brain and Spine Center, Yokohama, Japan.
Purpose: To assess the effects of modifying head position and of static ocular counter-rolling (OCR) on abduction and adduction in saccadic eye movements using a head-mounted video-oculographic device.
Study Design: A clinical observational study.
Methods: The peak velocities and amplitude gains of visually guided 12° saccades were binocularly measured in 21 healthy volunteers with their heads in the upright vertical (0°) and horizontal (± 90°, bilateral side-lying) postures, and in 6 participants with their head positions bilaterally tilted by 30°.
Front Psychol
December 2024
Departent of Learning, Data-Analytics and Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, Netherlands.
Learning experiences are intertwined with emotions, which in turn have a significant effect on learning outcomes. Therefore, digital learning environments can benefit from taking the emotional state of the learner into account. To do so, the first step is real-time emotion detection which is made possible by sensors that can continuously collect physiological and eye-tracking data.
View Article and Find Full Text PDFEar Hear
December 2024
Institut national de la santé et de la recherche médicale, U1028, Centre National de Recherche Scientifique, UMR5292, Lyon Neuroscience Research Center, Integrative Multisensory Perception and ACTion Team, Lyon, France.
Objectives: Catch-up saccades help to compensate for loss of gaze stabilization during rapid head rotation in case of vestibular deficit. While overt saccades observed after head rotation are obviously visually guided, some of these catch-up saccades occur with shorter latency while the head is still moving, anticipating the needed final eye position. These covert saccades seem to be generated based on the integration of multisensory inputs.
View Article and Find Full Text PDFObjective: To explore and validate effective eye movement features related to motion sickness (MS) through closed-track experiments and to provide valuable insights for practical applications.
Background: With the development of autonomous vehicles (AVs), MS has attracted more and more attention. Eye movements have great potential to evaluate the severity of MS as an objective quantitative indicator of vestibular function.
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