Stimulus Motion Perception Studies Imply Specific Neural Computations in Human Visual Stabilization
Journal:
arXiv
Published Date:
Jun 16, 2025
Abstract
Even during fixation the human eye is constantly in low amplitude motion,
jittering over small angles in random directions at up to 100Hz. This motion
results in all features of the image on the retina constantly traversing a
number of cones, yet objects which are stable in the world are perceived to be
stable, and any object which is moving in the world is perceived to be moving.
A series of experiments carried out over a dozen years revealed the
psychophysics of visual stabilization to be more nuanced than might be assumed,
say, from the mechanics of stabilization of camera images, or what might be
assumed to be the simplest solution from an evolutionary perspective. The
psychophysics revealed by the experiments strongly implies a specific set of
operations on retinal signals resulting in the observed stabilization behavior.
The presentation is in two levels. First is a functional description of the
action of the mechanism that is very likely responsible for the experimentally
observed behavior. Second is a more speculative proposal of circuit-level
neural elements that might implement the functional behavior.