scholarly journals Motion perception during sinusoidal smooth pursuit eye movements: Signal latencies and non-linearities

2008 ◽  
Vol 8 (14) ◽  
pp. 10-10 ◽  
Author(s):  
J. L. Souman ◽  
T. C. A. Freeman
Keyword(s):  
Eye Movements ◽  
Motion Perception ◽  
Smooth Pursuit ◽  
Smooth Pursuit Eye Movements ◽  
Pursuit Eye Movements

scholarly journals Receptive fields for smooth pursuit eye movements and motion perception

2010 ◽  
Vol 50 (24) ◽  
pp. 2729-2739 ◽  
Author(s):  
Kurt Debono ◽  
Alexander C. Schütz ◽  
Miriam Spering ◽  
Karl R. Gegenfurtner
Keyword(s):  
Eye Movements ◽  
Motion Perception ◽  
Smooth Pursuit ◽  
Receptive Fields ◽  
Smooth Pursuit Eye Movements ◽  
Pursuit Eye Movements

Localization and motion perception during smooth pursuit eye movements

2005 ◽  
Vol 171 (4) ◽  
pp. 448-458 ◽  
Author(s):  
Jan L. Souman ◽  
Ignace Th.C. Hooge ◽  
Alexander H. Wertheim
Keyword(s):  
Eye Movements ◽  
Motion Perception ◽  
Smooth Pursuit ◽  
Smooth Pursuit Eye Movements ◽  
Pursuit Eye Movements

Contrast and Assimilation in Motion Perception and Smooth Pursuit Eye Movements

2007 ◽  
Vol 98 (3) ◽  
pp. 1355-1363 ◽  
Author(s):  
Miriam Spering ◽  
Karl R. Gegenfurtner
Keyword(s):  
Eye Movements ◽  
Motion Perception ◽  
Smooth Pursuit ◽  
Visual Motion ◽  
Human Motion ◽  
Object Motion ◽  
Velocity Estimation ◽  
Smooth Pursuit Eye Movements ◽  
Pursuit Eye Movements ◽  
Perceived Velocity

The analysis of visual motion serves many different functions ranging from object motion perception to the control of self-motion. The perception of visual motion and the oculomotor tracking of a moving object are known to be closely related and are assumed to be controlled by shared brain areas. We compared perceived velocity and the velocity of smooth pursuit eye movements in human observers in a paradigm that required the segmentation of target object motion from context motion. In each trial, a pursuit target and a visual context were independently perturbed simultaneously to briefly increase or decrease in speed. Observers had to accurately track the target and estimate target speed during the perturbation interval. Here we show that the same motion signals are processed in fundamentally different ways for perception and steady-state smooth pursuit eye movements. For the computation of perceived velocity, motion of the context was subtracted from target motion (motion contrast), whereas pursuit velocity was determined by the motion average (motion assimilation). We conclude that the human motion system uses these computations to optimally accomplish different functions: image segmentation for object motion perception and velocity estimation for the control of smooth pursuit eye movements.

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