Inferential eye movement control while following dynamic gaze.

Area of Science:

• Neuroscience
• Cognitive Science
• Visual Perception

Background:

• Gaze following is crucial for social interaction and understanding intentions.
• The neural mechanisms controlling precise eye movements during gaze following remain unclear.

Purpose of the Study:

• To investigate how the brain controls fine-grain eye movement dynamics during gaze following.
• To understand the predictive and adaptive mechanisms involved in processing gaze cues.

Main Methods:

• Observers tracked gaze shifts in videos while their eye movements were recorded.
• A deep neural network analyzed the gazer's head movements.
• Saccade-contingent video manipulations were used to test the function of reverse saccades.

Main Results:

• Observer eye movements predicted gazer head direction by 190-350ms using peripheral visual information.
• The brain dynamically adjusted eye movements based on head velocity, initiating reverse saccades upon acceleration.
• Reverse saccades were planned concurrently with initial gaze-following saccades and reduced fixation errors.

Conclusions:

• The brain employs predictive saccades and dynamic adjustments based on head velocity for efficient gaze following.
• These mechanisms highlight the inferential and functional nature of social attention in controlling eye movements.