Robust generalization of tuning to self-induced sensation

Area of Science:

• Neuroscience
• Perception
• Motor Control

Background:

• Perceptual and sensorimotor learning typically exhibits specificity to trained stimuli and movement parameters.
• Recalibrating sensory and motor maps, like saccadic eye movements, also demonstrates this specificity.
• Smooth pursuit eye movements require compensation for retinal image motion of stationary surroundings (reafference) to maintain perceptual stability.

Purpose of the Study:

• To investigate whether the perceptual recalibration of stationarity during smooth pursuit eye movements generalizes to untrained eye movement speeds.
• To elucidate the underlying mechanisms of reafference signal updating during smooth pursuit.

Main Methods:

• Participants performed smooth pursuit eye movements.
• Systematic visual errors were introduced to induce perceptual recalibration of stationarity.
• Generalization of recalibration across different pursuit speeds was assessed.

Main Results:

• Perceptual recalibration of stationarity during smooth pursuit eye movements generalized to untrained eye movement speeds.
• The generalization pattern revealed two distinct mechanisms: a multiplicative gain for decreasing predicted reafference signals and a constant shift for increasing signals.
• The observed gain mechanism is consistent with a gain control model of smooth pursuit.

Conclusions:

• Stationarity recalibration during smooth pursuit is not strictly specific to trained movement speeds.
• Distinct neural mechanisms likely underlie the adjustment of reafference prediction across different pursuit velocities.
• Findings contribute to understanding the adaptive capabilities of the oculomotor system and perceptual stability.