eLifeNeurosciencePeer-reviewed journal article
Motor biases reflect a misalignment between visual and proprioceptive reference frames
Tianhe WangiD, J. Ryan MoreheadiD, Amber Jiang, Richard B. IvryiD, Jonathan S. TsayiD
Abstract
Goal-directed movements can fail due to errors in our perceptual and motor systems. While these errors may arise from random noise within these sources, they also reflect systematic motor biases that vary with the location of the target. The origin of these systematic biases remains controversial. Drawing on data from an extensive array of reaching tasks conducted over the past 30 years, we evaluated the merits of various computational models regarding the origin of motor biases. Contrary to previous theories, we show that motor biases do not arise from systematic errors associated with the sensed hand position during motor planning or from the biomechanical constraints imposed during motor execution. Rather, motor biases are primarily caused by a misalignment between eye-centric and body-centric representations of position. This model can account for motor biases across a wide range of contexts, encompassing movements with the right versus left hand, finger versus hand movements, visible and occluded starting positions, as well as before and after sensorimotor adaptation.
- Citations
- 9
- FWCI
- 8.26
- Field percentile
- top 5%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Arm position estimates derived from motor biases
Kevin Abishek, Hamza Muzammall, … Christopher A. Buneo·bioRxiv·Jul 26, 2025
- Sensorimotor learning compensates for irreducible perceptual bias
Cléo Schoeffel, Guilhem Ibos, … Guillaume S. Masson·bioRxiv·Sep 22, 2026
- Behavioral and Modeling Evidence that Eye Movements Bias Self-motion Perception
Matt D. Anderson, Emily A. Cooper, Jorge Otero‐Millan·bioRxiv·Oct 17, 2025
- Human force control may trade-off force error with central tendency and recency biases
Hansol X. Ryu, Manoj Srinivasan·bioRxiv·Sep 19, 2023
- Implications of recursive Bayesian Sensory Inference
Erik Skjoldan Mortensen, Maud Eline Ottenheijm, Mark Schram Christensen·bioRxiv·Jan 21, 2026
- Context versus aiming in motor learning when both feedforward and feedback control processes are engaged
Matthew J. Crossley, Christopher L. Hewitson, David Michael Kaplan·bioRxiv·Nov 28, 2023