AI Article Synopsis

  • Sensorimotor adaptation is key for adjusting our movements to changes in our body and surroundings, and it's been studied mainly in small laboratory settings for over 100 years.* -
  • Researchers utilized a citizen science website to collect data from over 2,000 sessions on a visuomotor rotation task, allowing for a more comprehensive analysis of learning processes.* -
  • This large dataset not only replicated and challenged classic research findings but also highlighted demographic factors that influence both implicit and explicit processes in sensorimotor adaptation, showcasing the benefits of large-scale studies in neuroscience.*

Article Abstract

Sensorimotor adaptation is essential for keeping our movements well calibrated in response to changes in the body and environment. For over a century, researchers have studied sensorimotor adaptation in laboratory settings that typically involve small sample sizes. While this approach has proved useful for characterizing different learning processes, laboratory studies are not well suited for exploring the myriad of factors that may modulate human performance. Here, using a citizen science website, we collected over 2,000 sessions of data on a visuomotor rotation task. This unique dataset has allowed us to replicate, reconcile and challenge classic findings in the learning and memory literature, as well as discover unappreciated demographic constraints associated with implicit and explicit processes that support sensorimotor adaptation. More generally, this study exemplifies how a large-scale exploratory approach can complement traditional hypothesis-driven laboratory research in advancing sensorimotor neuroscience.

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http://dx.doi.org/10.1038/s41562-023-01798-0DOI Listing

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