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Contrast Dependence of Smooth Pursuit Eye Movements following a Saccade to Superimposed Targets

Overview of attention for article published in PLOS ONE, May 2012
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Title
Contrast Dependence of Smooth Pursuit Eye Movements following a Saccade to Superimposed Targets
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0037888
Pubmed ID
Authors

Mazyar Fallah, John H. Reynolds

Abstract

Dorsal stream areas provide motion information used by the oculomotor system to generate pursuit eye movements. Neurons in these areas saturate at low levels of luminance contrast. We therefore hypothesized that during the early phase of pursuit, eye velocity would exhibit an oculomotor gain function that saturates at low luminance contrast. To test this, we recorded eye movements in two macaques trained to saccade to an aperture in which a pattern of dots moved left or right. Shortly after the end of the saccade, the eyes followed the direction of motion with an oculomotor gain that increased with contrast before saturating. The addition of a second pattern of dots, moving in the opposite direction and superimposed on the first, resulted in a rightward shift of the contrast-dependent oculomotor gain function. The magnitude of this shift increased with the contrast of the second pattern of dots. Motion was nulled when the two patterns were equal in contrast. Next, we varied contrast over time. Contrast differences that disappeared before saccade onset biased post-saccadic eye movements at short latency. Changes in contrast occurring during or after saccade termination did not influence eye movements for approximately 150 ms. Earlier studies found that eye movements can be explained by a vector average computation when both targets are equal in contrast. We suggest that this averaging computation may reflect a special case of divisive normalization, yielding saturating contrast response functions that shift to the right with opposed motion, averaging motions when targets are equated in contrast.

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Geographical breakdown

Country Count As %
Germany 2 5%
Korea, Republic of 1 2%
Singapore 1 2%
Unknown 40 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 32%
Researcher 9 20%
Student > Doctoral Student 4 9%
Student > Bachelor 3 7%
Student > Postgraduate 3 7%
Other 7 16%
Unknown 4 9%
Readers by discipline Count As %
Psychology 15 34%
Agricultural and Biological Sciences 8 18%
Neuroscience 8 18%
Medicine and Dentistry 3 7%
Nursing and Health Professions 1 2%
Other 4 9%
Unknown 5 11%