Implicit visuomotor sequence learning is crucial for acquiring skills that result in automated behaviors. The oscillatory dynamics underpinning this learning process are not well understood. To address this gap, the current study employed electroencephalography with a medium-density array (64 electrodes) to investigate oscillatory activity associated with implicit visuomotor sequence learning in the Serial Reaction Time task. In the task, participants unknowingly learn a series of finger movements. Eighty-five healthy adults participated in the study. Analyses revealed that theta activity at the vertex and alpha/beta activity over the motor areas decreased over the course of learning. No associations between alpha/beta and theta power were observed. These findings are interpreted within a dual-process framework: midline theta activity is posited to regulate top-down attentional processes, whereas beta activity from motor areas underlies the bottom-up encoding of sensory information from movement. From this model, we suggest that during implicit visuomotor sequence learning, top-down processes become disengaged (indicated by a reduction in theta activity), and modality specific bottom-up processes encode the motor sequence (indicated by a reduction in alpha/beta activity).
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http://dx.doi.org/10.1093/cercor/bhae266 | DOI Listing |
Exp Brain Res
December 2024
School of Human Kinetics, University of Ottawa, 200 Lees Ave, Ottawa, ON, K1S 5L5, Canada.
The ability to seamlessly switch between different visuomotor mappings is critical for effective interactions in a dynamic environment. This experiment aimed to establish the contributions of implicit (unconscious) processes to the concurrent adaptation of one's reaches to two opposing, randomly switching, novel visuomotor mappings (i.e.
View Article and Find Full Text PDFPsychiatr Pol
August 2024
Department of Affective Disorders, Jagiellonian University Medical College, Kraków, Poland.
IEEE Trans Pattern Anal Mach Intell
December 2024
We propose an end-to-end visuomotor navigation framework that leverages Neural Radiance Fields (NeRF) for spatial cognition. To the best of our knowledge, this is the first effort to integrate such implicit spatial representation with embodied policy end-to-end for cognitive decision-making. Consequently, our system does not necessitate modularized designs nor transformations into explicit scene representations for downstream control.
View Article and Find Full Text PDFEur J Neurosci
September 2024
Leibniz Institute for Neurobiology, Magdeburg, Germany.
Human motor learning involves cognitive strategies in addition to implicit adaptation. Differences in systems-level neurophysiology between strategy-based and implicit learning remain poorly understood. We asked how the P3 event-related potential, an electroencephalography signal known to increase during early motor learning, relates to strategy-based learning and implicit adaptation.
View Article and Find Full Text PDFNeuroscience
October 2024
School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Australia.
Sensorimotor adaptation alters mappings between motor commands and their predicted outcomes. Such remapping has been extensively studied in the visual domain, but the degree to which it occurs in modalities other than vision remains less well understood. Here, we manipulated the modality of reach target presentation to compare sensorimotor adaptation in response to perturbations of visual and auditory feedback location.
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