bioRxivJClub
Development of appropriate sensorimotor recalibration for a de novo skill
bioRxiv · · Preprint · Open access
Wang, Li + 2 more
Abstract ↗AI summary
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After up to a month of training on novel sensorimotor mappings, implicit recalibration flexibly reconfigures to match each mapping, including mirror reversals and large rotations.
- Why it matters: Prior work suggested implicit recalibration is inflexible and can remain maladaptive when new mappings are required for a de novo skill.
- What they did: Participants trained for up to a month across tasks with novel mappings; emphasizing feedforward planning rather than feedback control was sufficient to induce reconfiguration of sensory predictions and error correction policy.
- The result: Implicit recalibration became context-specific, with minimal interference when switching mappings, demonstrating flexible adaptation during skill acquisition.
The findingWhy it mattersWhat they didThe result
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