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Contrast (vision)

About: Contrast (vision) is a research topic. Over the lifetime, 10379 publications have been published within this topic receiving 221480 citations.


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Journal ArticleDOI
TL;DR: Recent studies have shown that mammalian extrastriate visual cortex contains several anatomically and functionally distinct subregions, suggesting that a lesion in a homologous region might produce a defect in color vision while sparing other visual functions.
Abstract: In contrast to the traditional view that striate visual cortex (area 17) is surrounded by two homogeneous cortical areas (areas 18 and 19), recent studies have shown that mammalian extrastriate visual cortex contains several anatomically and functionally distinct subregions. One such region, the V-4 complex of the rhesus monkey, is highly specialized for the analysis of color information, suggesting that a lesion in a homologous region might produce a defect in color vision while sparing other visual functions. We have studied a patient whose clinical syndrome supports this suggestion: a 44-year-old man with normal color vision suffered two cerebral infarctions that produced first a right and then a left superior homonymous quadrantanopia and also caused prosopagnosia, topographical disorientation, and severely impaired color vision. Computed tomography demonstrated extensive lesions in both inferior occipital lobes in the territories of the lateral branches of the posterior cerebral arteries, involving the lingual and medial occipitotemporal gyri bilaterally; these gyri contain the inferior portion of striate cortex and segments of extrastriate visual cortex. The patient had no difficulty in giving the correct color names associated with common objects presented either verbally or in outline drawings. Standardized testing with the Farnsworth-Munsell 100-hue test, the Nagel anomaloscope, and a method that tests for just-noticeable differences between monochromatic stimuli all showed that the patient's ability to distinguish one color from another was markedly impaired but not totally absent. In contrast, visual acuity, reading, visually guided eye movements, and stereopsis were normal. Cells in the V-4 complex of monkey extrastriate cortex are highly specialized for distinguishing one color from another; the hue discrimination deficit that was demonstrated in this patient with cerebral color blindness indicates that a region or regions with similar function has been damaged.

99 citations

Journal ArticleDOI
TL;DR: A larger pupil was correlated significantly with better distance visual acuity and with worse near visual acity and distance contrast sensitivity after implantation of the AcrySof ReSTOR Natural IOL.
Abstract: Purpose To determine whether pupil size is correlated with visual acuity and contrast sensitivity at all distances in eyes with an apodized diffractive intraocular lens (IOL). Setting Private Clinic, Oviedo, Spain. Methods Six months after surgery, the best corrected distance visual acuity, best distance-corrected near visual acuity, intermediate visual acuity, and distance contrast sensitivity under photopic (85 cd/m 2 ) and mesopic (5 cd/m 2 ) conditions were measured in 670 eyes of 335 consecutive patients who had implantation of the AcrySof ReSTOR Natural IOL (SN60D3, Alcon). Pupil diameters in distance vision were measured using a pupillometer. Results The logMAR best corrected distance acuity was significantly better with larger pupils ( r = 0.297; P = 1.36 × 10 −8 ), whereas logMAR best distance-corrected near acuity was significantly worse with larger pupils ( r = 0.276, P = 1.02 × 10 −7 ). For all pupil diameters, intermediate visual acuity worsened significantly as the distance of the test increased ( P P Conclusions A larger pupil was correlated significantly with better distance visual acuity and with worse near visual acuity. For all pupil diameters, intermediate visual acuity worsened significantly as the distance of the test increased. Distance contrast sensitivity was better with larger pupils at all spatial frequencies in bright-light and dim-light conditions.

99 citations

Journal ArticleDOI
TL;DR: The data and modelling supported the idea that subjects exploited probability summation at threshold while using a peak detection criterion above threshold, and single- and multiple-channel models of temporal processing are discussed.

99 citations

Journal ArticleDOI
TL;DR: A model that accepts an arbitrary band-pass grayscale image as input and predicts blood oxygenation level dependent (BOLD) responses in early visual cortex as output is developed, providing insight into how stimuli are encoded and transformed in successive stages of visual processing.
Abstract: Visual neuroscientists have discovered fundamental properties of neural representation through careful analysis of responses to controlled stimuli. Typically, different properties are studied and modeled separately. To integrate our knowledge, it is necessary to build general models that begin with an input image and predict responses to a wide range of stimuli. In this study, we develop a model that accepts an arbitrary band-pass grayscale image as input and predicts blood oxygenation level dependent (BOLD) responses in early visual cortex as output. The model has a cascade architecture, consisting of two stages of linear and nonlinear operations. The first stage involves well-established computations—local oriented filters and divisive normalization—whereas the second stage involves novel computations—compressive spatial summation (a form of normalization) and a variance-like nonlinearity that generates selectivity for second-order contrast. The parameters of the model, which are estimated from BOLD data, vary systematically across visual field maps: compared to primary visual cortex, extrastriate maps generally have larger receptive field size, stronger levels of normalization, and increased selectivity for second-order contrast. Our results provide insight into how stimuli are encoded and transformed in successive stages of visual processing.

98 citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
20231,864
20223,760
2021413
2020329
2019354