Summary: Ocular drift, or tiny eye movements that seem random can be influenced by prior knowledge of an expected visual target, researchers report.
Source: Weill Cornell University
A very subtle and seemingly random type of eye movement called ocular drift can be influenced by prior knowledge of the expected visual target, suggesting a surprising level of cognitive control over the eyes, according to a study led by Weill Cornell Medicine neuroscientists.
Thediscovery, described Apr. 3 inCurrent Biology, adds to the scientific understanding of how visionfar from being a mere absorption of incoming signals from the retinais controlled and directed by cognitive processes.
These eye movements are so tiny that were not even conscious of them, and yet our brains somehow can use the knowledge of the visual task to control them, says study lead author Dr. Yen-Chu Lin, who carried out the work as a Fred Plum Fellow in Systems Neurology and Neuroscience in the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine.
Dr. Lin works in the laboratory of study senior authorDr. Jonathan Victor, the Fred Plum Professor of Neurology at Weill Cornell Medicine.
The study involved a close collaboration with the laboratory ofDr. Michele Rucci, professor of brain and cognitive sciences and neuroscience at the University of Rochester.
Neuroscientists have known for decades that information stored in memory can strongly shape the processing of sensory inputs, including the streams of visual data coming from the eyes. In other words, what we see is influenced by what we expect to see or the requirements of the task at hand.
Most studies of cognitive control over eye movement have covered more obvious movements, such as the saccade movements in which the eyes dart across large parts of the visual field. In the new study, Drs. Lin and Victor and their colleagues examined ocular drift, tiny jitters of the eye that occur even when gaze seems fixed.
Ocular drifts are subtle motions that shift a visual target on the retina by distances on the order of a fraction of a millimeter or soacross just a few dozen photoreceptors (cones).
They are thought to improve detection of small, stationary details in a visual scene by scanning across them, effectively converting spatial details into trains of visual signals in time.
Prior studies had suggested that ocular drift and other small-scale fixational eye movements are under cognitive control only in a broad sensefor example, slowing when scanning across more finely detailed scenes. In the new study, the researchers found evidence for a more precise type of control.
Using sensitive equipment in Dr. Ruccis laboratory, the researchers recorded ocular drifts in six volunteers who were asked to identify which of a pair of letters (H vs. N, or E vs. F) was being shown to them on a background of random visual noise.
Based on computational modeling, the scientists expected that optimal eye movements for discriminating between letters would cross the key elements distinguishing the letters at right angles.
Thus, they hypothesized that a more precise cognitive control, if it existed, would tend to direct ocular drift in both vertical and oblique (lower left to upper right) directions for the H vs. N discrimination, compared to more strictly vertical movements for the E vs. F discrimination.
They found that the subjects eye movements did indeed tend to follow these patternseven in the 20 percent of trials in which the subjects, though expecting to see a letter, were shown only noise. The latter result showed that the cognitive control of ocular drift could be driven solely by specific prior knowledge of the visual task, independently of any incoming visual information.
These results underscore the interrelationship between the sensory and the motor parts of visionone really cant view them separately, said Dr. Victor, who is also a professor of neuroscience in the Feil Family Brain and Mind Research Institute at Weill Cornell.
He noted that the direction of fine eye movements is thought to come from neurons in the brainstem, whereas the task knowledge presumably resides in the upper brain: the corteximplying some kind of non-conscious connection between them.
The subjects are aware of the tasks they have to do, yet they dont know that their eyes are executing these tiny movements, even when you tell them, Dr. Victor said.
Studies of this pathway, he added, could lead to better insights not only into the neuroscience of vision, but possibly also visual disorderswhich traditionally have been seen as disorders of the retina or sensory processing within the brain.
What our findings suggest is that visual disorders may sometimes have a motor component too, since optimal vision depends on the brains ability to execute these very tiny movements, Dr. Victor said.
Author: Barbara PrempehSource: Weill Cornell UniversityContact: Barbara Prempeh Weill Cornell UniversityImage: The image is in the public domain
Original Research: Closed access.Cognitive influences on fixational eye movements by Jonathan Victor et al. Current Biology
Abstract
Cognitive influences on fixational eye movements
We perceive the world based on visual information acquired via oculomotor control,an activity intertwined with ongoing cognitive processes.Cognitive influences have been primarily studied in the context of macroscopic movements, like saccades and smooth pursuits. However, our eyes are never still, even during periods of fixation.
One of the fixational eye movements, ocular drifts, shifts the stimulus over hundreds of receptors on the retina, a motion that has been argued to enhance the processing of spatial detail by translating spatial into temporal information.Despite their apparent randomness, ocular drifts are under neural control.
However little is known about the control of drift beyond the brainstem circuitry of the vestibulo-ocular reflex.
Here, we investigated the cognitive control of ocular drifts with a letter discrimination task. The experiment was designed to reveal open-loop effects, i.e., cognitive oculomotor control driven by specific prior knowledge of the task, independent of incoming sensory information.
Open-loop influences were isolated by randomly presenting pure noise fields (no letters) while subjects engaged indiscriminating specific letter pairs.
Our results show open-loop control of drift direction in human observers.
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