scholarly journals Unbiased Measures of Interocular Transfer of Motion Adaptation

Perception ◽  
10.1068/p7819 ◽  
2015 ◽  
Vol 44 (5) ◽  
pp. 541-555
Author(s):  
Greta Vilidaitė ◽  
Daniel H Baker
Perception ◽  
10.1068/p3442 ◽  
2003 ◽  
Vol 32 (7) ◽  
pp. 855-866 ◽  
Author(s):  
Ran Tao ◽  
Martin J M Lankheet ◽  
Wim A van de Grind ◽  
Richard J A van Wezel

It is well established that motion aftereffects (MAEs) can show interocular transfer (IOT); that is, motion adaptation in one eye can give a MAE in the other eye. Different quantification methods and different test stimuli have been shown to give different IOT magnitudes, varying from no to almost full IOT. In this study, we examine to what extent IOT of the dynamic MAE (dMAE), that is the MAE seen with a dynamic noise test pattern, varies with velocity of the adaptation stimulus. We measured strength of dMAE by a nulling method. The aftereffect induced by adaptation to a moving random-pixel array was compensated (nulled), during a brief dynamic test period, by the same kind of motion stimulus of variable luminance signal-to-noise ratio (LSNR). The LSNR nulling value was determined in a Quest-staircase procedure. We found that velocity has a strong effect on the magnitude of IOT for the dMAE. For increasing speeds from 1.5 deg s−1 to 24 deg s−1 average IOT values increased about linearly from 18% to 63% or from 32% to 83%, depending on IOT definition. The finding that dMAEs transfer to an increasing extent as speed increases, suggests that binocular cells play a more dominant role at higher speeds.


2000 ◽  
Author(s):  
Lorraine G. Allan ◽  
Teresa A. Molino ◽  
Shepard Siegel

PLoS ONE ◽  
2015 ◽  
Vol 10 (1) ◽  
pp. e0117233 ◽  
Author(s):  
Andrea Pavan ◽  
Mark W. Greenlee

1997 ◽  
Vol 14 (4) ◽  
pp. 741-749 ◽  
Author(s):  
Colin W.G. Clifford ◽  
Michael R. Ibbotson ◽  
Keith Langley

AbstractThere are marked similarities in the adaptation to motion observed in wide-field directional neurons found in the mammalian nucleus of the optic tract and cells in the insect lobula plate. However, while the form and time scale of adaptation is comparable in the two systems, there is a difference in the directional properties of the effect. A model based on the Reichardt detector is proposed to describe adaptation in mammals and insects, with only minor modifications required to account for the differences in directionality. Temporal-frequency response functions of the neurons and the model are shifted laterally and compressed by motion adaptation. The lateral shift enhances dynamic range and differential motion sensitivity. The compression is not caused by fatigue, but is an intrinsic property of the adaptive process resulting from interdependence of temporal-frequency tuning and gain in the temporal filters of the motion detectors.


1980 ◽  
Vol 15 (3) ◽  
pp. 178-180 ◽  
Author(s):  
David Pounds ◽  
Phyllis Williamson ◽  
Carl Cheney
Keyword(s):  

1977 ◽  
Vol 19 (3) ◽  
pp. 425-428 ◽  
Author(s):  
J GRAVES ◽  
M GOODALE

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