Marissa Fassold¹ (), Michael Landy^1,2; ¹New York University, ²Center for Neural Science, New York University

Humans are able to adapt to large and sudden perturbations of sensory feedback. For example, after plunging one’s hand into the water to retrieve a shell there is an immediate mismatch between visual feedback and proprioceptively sensed location. Sensor-motor adaptation takes time, as anyone who has encountered an unexpected computer mouse sensitivity can attest. What sensory and motor-execution cues are used to determine confidence, and do the dynamics of confidence parallel those of ongoing sensorimotor adaptation? Participants made a slicing reach through a visual target with an unseen hand followed by a continuous judgment of confidence in the success of their reach. After the confidence response, visual feedback of hand position was shown at the same distance along the reach as the target. For the confidence judgment, participants adjusted the size of an arc centered on the target. Larger arcs reflected lower confidence. Points were awarded if the visual feedback was within the arc, and fewer points returned for larger arcs. This incentivized attentive reporting and minimizing feedback-target distance to maximize the score. A fixed, rotational perturbation (alternating clockwise/counterclockwise across blocks) was applied to the feedback on trials 20-70 within each 100-trial block. We used least-squares cross validation to compare four Bayesian-inference models of sensorimotor confidence adaptation based on prospective cues (e.g., knowledge of motor noise and past performance), retrospective cues (e.g., proprioceptive measurements), or both sources of information to maximize expected gain (i.e., an ideal observer) with additional parameters for learning and bias. All of the participants use proprioception when calculating sensorimotor confidence during motor adaptation. Most participants depended primarily on a recalibrated proprioceptive signal for confidence. Over repeated blocks of exposure to the perturbation, participants’ confidence recovered exponentially to pre-adaptation levels, but at a different rate than motor learning.

Acknowledgements: Funding: NIH EY08266 (MSL)