Unifying account of visual motion and position perception

Area of Science:

• Visual perception
• Cognitive neuroscience
• Computational modeling

Background:

• Perceptual interactions between motion and position are increasingly recognized.
• Existing frameworks fail to unify these two aspects of visual experience.

Purpose of the Study:

• To propose and validate a unifying framework for understanding the perception of visual motion and position.
• To demonstrate that object position and motion perception stem from a common object-tracking system.

Main Methods:

• Developed an object-tracking model integrating sensory signals with motion dynamics.
• Tested the model's fit with human judgments in simple and complex visual stimuli.
• Assessed the model's ability to explain known and novel perceptual phenomena.

Main Results:

• The object-tracking model accurately predicted position and motion judgments in simple stimuli.
• The same model, without parameter changes, explained illusory percepts in complex stimuli.
• The framework revealed strong bidirectional coupling between motion and position estimates.

Conclusions:

• Object tracking provides a rational, unifying account for phenomena like motion-induced position shifts and the curveball illusion.
• Motion perception is intrinsically linked to position signals, driven by an object-tracking system.
• Object tracking fundamentally shapes our perception of both visual motion and position.