Literature DB >> 9316277

Postreceptoral chromatic detection mechanisms revealed by noise masking in three-dimensional cone contrast space.

M J Sankeralli1, K T Mullen.   

Abstract

We used a noise masking technique to test the hypothesis that detection is subserved by only two chromatic postreceptoral mechanisms (red-green and blue-yellow) and one achromatic (luminance) mechanism. The task was to detect a 1-c/deg Gaussian enveloped grating presented in a mask of static, spatially low-passed binary or Gaussian distributed noise. In the main experiment, the direction of the test stimulus (termed the signal) was constant in cone contrast space, and the direction of the noise was sampled in equally spaced directions within a plane (the noise plane) in the space. The signal was chosen to coincide with one of the three cardinal directions of three postulated mechanisms. The noise plane was selected to span two of the cardinal directions, including that chosen as the signal direction. As the noise direction was sampled around the noise plane, the signal detection threshold was found to vary in accordance with a linear cosine model, which predicted noise directions yielding maximum and minimum masking of the signal. In the direction of minimum masking (termed a null direction), the noise was found to have no masking effect on the signal. Moreover, the null was not orthogonal to the signal direction but lay instead in one of the cardinal directions. Our findings suggest that detection is mediated by only three mechanisms. In a further experiment we found little or no cross masking between each pair of cardinal directions up to the limit of our noise mask contrasts. This further supports the presence of no more than three independent postreceptoral mechanisms.

Mesh:

Year:  1997        PMID: 9316277     DOI: 10.1364/josaa.14.002633

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  11 in total

1.  Combination of texture and color cues in visual segmentation.

Authors:  Toni P Saarela; Michael S Landy
Journal:  Vision Res       Date:  2012-02-24       Impact factor: 1.886

2.  Perceptual classification of chromatic modulation.

Authors:  Romain Bouet; Kenneth Knoblauch
Journal:  Vis Neurosci       Date:  2004 May-Jun       Impact factor: 3.241

3.  V1 mechanisms underlying chromatic contrast detection.

Authors:  Charles A Hass; Gregory D Horwitz
Journal:  J Neurophysiol       Date:  2013-02-27       Impact factor: 2.714

4.  Color variance and achromatic settings.

Authors:  Siddhart S Rajendran; Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2020-04-01       Impact factor: 2.129

5.  The Verriest Lecture: Adventures in blue and yellow.

Authors:  Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2020-04-01       Impact factor: 2.129

6.  Non-cardinal color mechanism elicitation by stimulus shape: Bringing the S versus L+M color plane to the table.

Authors:  Karen L Gunther
Journal:  J Vis       Date:  2022-04-06       Impact factor: 2.240

7.  Texture variations suppress suprathreshold brightness and colour variations.

Authors:  Andrew J Schofield; Frederick A A Kingdom
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

8.  Color responses of the human lateral geniculate nucleus: [corrected] selective amplification of S-cone signals between the lateral geniculate nucleno and primary visual cortex measured with high-field fMRI.

Authors:  Kathy T Mullen; Serge O Dumoulin; Robert F Hess
Journal:  Eur J Neurosci       Date:  2008-11       Impact factor: 3.386

9.  Ensemble coding of color and luminance contrast.

Authors:  Siddhart Rajendran; John Maule; Anna Franklin; Michael A Webster
Journal:  Atten Percept Psychophys       Date:  2020-10-06       Impact factor: 2.199

10.  Linking perceived to physical contrast: Comparing results from discrimination and difference-scaling experiments.

Authors:  Christopher Shooner; Kathy T Mullen
Journal:  J Vis       Date:  2022-01-04       Impact factor: 2.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.