Year: 2025
Type: article
Abstract: The visual system continuously generates predictions to guide behavior, yet how visuomotor adaptation relates to sensory detection and motor variability remains unclear. We addressed this question using joystick-based tasks: a visuomotor interception task with angular or speed perturbations, a sensory detection task, and a no-feedback motor variability task. Participants showed robust within-task responses, with angular discrepancies engaging both external (target-based) and self-referential control, while speed discrepancies primarily involved self-referential strategies. Gaze behavior reflected distinct tracking modes depending on perturbation type. However, cross-task regression analyses revealed weak associations between detection, variability, and adaptation. These dissociations were not due to noise or low power but reflected consistent performance patterns. Notably, within-subject variability exceeded between-subject variability across all tasks, highlighting trial-to-trial fluctuations as key drivers of behavior. Together, these findings support the view that predictive control relies on specialized, context-dependent mechanisms, in which task-specific computations adaptively integrate context and internal state dynamics.
Source: npj Science of Learning
Authors: Inmaculada Márquez, Mario Treviño
Institution: Universidad de Guadalajara
Language: English
Topic: Motor Control and Adaptation
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,690
Award: G5803481182
OpenAlex ID: W4416719025