scholarly journals Influence of Spatial and Chromatic Noise on Luminance Discrimination

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Leticia Miquilini ◽  
Natalie A. Walker ◽  
Erika A. Odigie ◽  
Diego Leite Guimarães ◽  
Railson Cruz Salomão ◽  
...  
1981 ◽  
Vol 21 (2) ◽  
pp. 273-278 ◽  
Author(s):  
David J. Lasley ◽  
Theodore E. Cohn

2020 ◽  
Author(s):  
William Turner ◽  
Daniel Feuerriegel ◽  
Robert Hester ◽  
Stefan Bode

AbstractWe often need to rapidly change our mind about perceptual decisions in order to account for new information and correct mistakes. One fundamental, unresolved question is whether information processed prior to a decision being made (‘pre-decisional information’) has any influence on the likelihood and speed with which that decision is reversed. We investigated this using a luminance discrimination task in which participants indicated which of two flickering greyscale squares was brightest. Following an initial decision, the stimuli briefly remained on screen, and participants could change their response. Using psychophysical reverse correlation, we examined how moment-to-moment fluctuations in stimulus luminance affected participants’ decisions. This revealed that the strength of even the very earliest (pre-decisional) evidence was associated with the likelihood and speed of later changes of mind. To account for this effect, we propose an extended diffusion model in which an initial ‘snapshot’ of sensory information biases ongoing evidence accumulation.


2020 ◽  
Author(s):  
Cedric P. van den Berg ◽  
Michelle Hollenkamp ◽  
Laurie J. Mitchell ◽  
Erin J. Watson ◽  
Naomi F. Green ◽  
...  

AbstractAchromatic (luminance) vision is used by animals to perceive motion, pattern, space and texture. Luminance contrast sensitivity thresholds are often poorly characterised for individual species and are applied across a diverse range of perceptual contexts using over-simplified assumptions of an animal’s visual system. Such thresholds are often estimated using the Receptor Noise Limited model (RNL) using quantum catch values and estimated noise levels of photoreceptors. However, the suitability of the RNL model to describe luminance contrast perception remains poorly tested.Here, we investigated context-dependent luminance discrimination using triggerfish (Rhinecanthus aculeatus) presented with large achromatic stimuli (spots) against uniform achromatic backgrounds of varying absolute and relative contrasts. ‘Dark’ and ‘bright’ spots were presented against relatively dark and bright backgrounds. We found significant differences in luminance discrimination thresholds across treatments. When measured using Michelson contrast, thresholds for bright spots on a bright background were significantly higher than for other scenarios, and the lowest threshold was found when dark spots were presented on dark backgrounds. Thresholds expressed in Weber contrast revealed increased contrast sensitivity for stimuli darker than their backgrounds, which is consistent with the literature. The RNL model was unable to estimate threshold scaling across scenarios as predicted by the Weber-Fechner law, highlighting limitations in the current use of the RNL model to quantify luminance contrast perception. Our study confirms that luminance contrast discrimination thresholds are context-dependent and should therefore be interpreted with caution.


2002 ◽  
Vol 19 (3) ◽  
pp. 425 ◽  
Author(s):  
Marcel J. Sankeralli ◽  
Kathy T. Mullen ◽  
Trevor J. Hine

2010 ◽  
Vol 2 (7) ◽  
pp. 171-171
Author(s):  
D. Liston ◽  
C.D. Carello ◽  
R.J. Krauzlis

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