@article{202821,
  keywords = {sensorimotor adaptation, Cognitive Strategy, Implicit Recalibration, Motor Generalization},
  author = {Yiyu Wang and Jordan A. Taylor},
  title = {How Different Cognitive Strategies Can Influence Implicit Recalibration in Visuomotor Adaptation},
  abstract = {<p>Visuomotor adaptation involves explicit strategies and implicit<br>recalibration, but their interaction remains unclear. Strategies<br>can take two forms: algorithmic strategies, involving mental<br>simulation of motor solutions, and retrieval strategies, which<br>rely on previously successful solutions. These strategies arise<br>from distinct neural circuits, which are likely to influence<br>cerebellar-dependent implicit recalibration in different ways.<br>To explore this, we created conditions favoring algorithmic<br>(visuomotor mental rotation) or retrieval strategies by varying<br>training target set size, as retrieval is limited by working<br>memory. We controlled for generalization and intertrial<br>effects, isolating implicit recalibration. Preparation times<br>confirmed distinct strategy adoption. While the magnitudes of<br>implicit recalibration were similar, generalization breadth was<br>narrower with retrieval strategies, suggesting stricter stimulusresponse<br>associations. Algorithmic strategies produced<br>broader generalization. These findings confirm that<br>algorithmic and retrieval strategies impact implicit<br>recalibration differently, and demand that future efforts to<br>characterize the pattern of implicit generalization must account<br>for the unique contribution of different forms of explicit<br>strategies.</p>},
  year = {2025},
  journal = {Proceedings of the 47th Annual Conference of the Cognitive Science Society},
  pages = {1007-1014},
}