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Movement Retraining using Real-time Feedback of Performance

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

The precision of signals encoding active self-movement.

Joshua D Haynes¹, Maria Gallagher², John F Culling¹

¹School of Psychology, Cardiff University, Cardiff, United Kingdom.

Journal of Neurophysiology

|June 12, 2024

Summary

We developed a new method to measure self-movement signals, finding that perceived motion slows during head turns. Signal precision varies with movement speed and sensory cues, challenging current motion perception models.

Keywords:

Weber’s law head movement motion psychophysics self-movement vestibular

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Area of Science:

Neuroscience
Perception
Psychophysics

Background:

Studying self-movement signals is challenging due to the difficulty in experimentally controlling unique, active actions.
Existing techniques often require repeatable trials, which are problematic for naturalistic self-movements.
Previous methods linking display motion to self-movement may not account for all sources of external noise.

Purpose of the Study:

To introduce a novel psychophysical paradigm for measuring the precision and bias of self-movement signals with minimal participant constraint.
To investigate how the precision of head movement signals differs when used for visual versus auditory motion judgment.
To examine the relationship between head rotation speed and the imprecision of the encoding signal, testing Weber's law.

Main Methods:

Developed a paradigm linking image motion to prior self-movement, employing two experimental phases to isolate self-movement encoding.
Utilized head rotations as the model for self-movement, assessing signal precision under visual and auditory motion comparison conditions.
Conducted a second experiment involving participants rotating their heads at controlled rates to quantify signal imprecision as a function of speed.

Main Results:

The precision of head movement signals was greater when judging visual motion compared to auditory motion.
Perceived motion speed was systematically reduced during active head rotation, indicating a bias in non-visual motion signals.
Signal imprecision increased proportionally with head rotation speed, consistent with Weber's law.

Conclusions:

Active self-movement signals (motor commands, proprioception, vestibular) are biased towards lower speeds/displacements.
Differences in precision based on sensory modality (visual vs. auditory) suggest distinct processing or cue integration.
Findings challenge standard Bayesian models of motion perception by highlighting modality-specific processing and speed-dependent imprecision.