Cortical mechanisms of colour vision

Gegenfurtner, Karl R.

doi:10.1038/nrn1138

Cited by 351 publications

(299 citation statements)

References 111 publications

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“…These results, using stimuli with gray backgrounds, confirm results using stimuli with different colored backgrounds (Conway, 2001). Such "doubleopponent" receptive fields are ideal substrates for color constancy and color contrast (Hurlbert and Poggio, 1988;Dufort and Lumsden, 1991;Foster and Nascimento, 1994;Gegenfurtner, 2003;Hurlbert and Wolf, 2004), computations that likely involve V1 (Barbur et al, 2004) (but see Zeki et al, 1999). Some doubleopponent receptive fields were circularly symmetric, with round centers and doughnut-shaped surrounds, but most had round centers with crescent-shaped surrounds, or two parallel ovalshaped subfields.…”

Section: Discussionsupporting

confidence: 74%

Spatial and Temporal Properties of Cone Signals in Alert Macaque Primary Visual Cortex

Conway¹,

Livingstone²

2006

J. Neurosci.

140

185

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7°) than spatial-opponent cell centers (ϳ1°). We found that red-green cells received S-cone input, which aligned with M input, and, unlike blue-yellow cells, red-green cells gave push-pull responses: receptivefield centers of red-ON cells were excited by both L increments (bright red) and M decrements (dark red) and were suppressed by both L decrements (dark green) and M increments (bright green). Excitatory responses to decrements were slightly larger than to increments, which may account for the lower detection and discrimination thresholds of decrements shown psychophysically. By virtue of their specialized receptive fields, the neurons described here spatially transform the cone signals and represent the first stage in the visual system at which spatially opponent color calculations are made.

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Section: Discussionsupporting

confidence: 74%

Spatial and Temporal Properties of Cone Signals in Alert Macaque Primary Visual Cortex

Conway¹,

Livingstone²

2006

J. Neurosci.

140

185

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“…When we see an object, color and shape are likely to be processed in parallel, in an interactive fashion. Some studies indicate that the same neural circuits, in early visual cortical regions, processes information about color, shape and luminance (Gegenfurtner, 2003). At some point, this information must be combined to achieve a unitary representation of the visual world.…”

Section: Discussionmentioning

confidence: 99%

Electrophysiological evidence for colour effects on the naming of colour diagnostic and noncolour diagnostic objects

et al. 2012

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In this study, we investigated the level of visual processing at which surface color information improves the recognition of color diagnostic and non-color diagnostic objects. Continuous electroencephalograms were recorded while participants performed a visual object naming task in which colored and black-and-white versions of both types of objects were presented. The blackand-white and the color presentations were compared in two groups of event-related potentials (ERPs): (1) the P1 and N1 components, indexing early visual processing; and (2) the N400 component, which index late visual processing. A color effect was observed in the P1 and N1 components, for both color and non-color diagnostic objects. In addition, for color diagnostic objects, a color effect was observed in the N400 component. These results suggest that color information is important for the recognition of color and non-color diagnostic objects at different levels of visual processing. It thus appears that the visual system uses color information, during recognition of both object types, at early visual stages; however for the color diagnostic objects recognition, color information is also recruited during the late visual processing stages. ACKNOWLEDGMENTS

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“…The ventral "what" pathway processes featural information about objects including color, shape, or orientation. For example, color information, which is initially detected by retinal cones, is processed in the LGN and areas V1 and V2 (for a review, see Gegenfurtner, 2003). Orientation-specific cells in V1 detect orientation, contour, and curvature, which are important for determining shapes and object-hood (Hubel & Wiesel, 1962).…”

Section: Forms Of Selective Attention: Featurebased Attentionmentioning

confidence: 99%

On the evolution of conscious attention

Haladjian

Montemayor

2014

Psychon Bull Rev

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This paper aims to clarify the relationship between consciousness and attention through theoretical considerations about evolution. Specifically, we will argue that the empirical findings on attention and the basic considerations concerning the evolution of the different forms of attention demonstrate that consciousness and attention must be dissociated regardless of which definition of these terms one uses. To the best of our knowledge, no extant view on the relationship between consciousness and attention has this advantage. Because of this characteristic, this paper presents a principled and neutral way to settle debates concerning the relationship between consciousness and attention, without falling into disputes about the meaning of these terms. A decisive conclusion of this approach is that extreme views on the relationship between consciousness and attention must be rejected, including identity and full dissociation views. There is an overlap between the two within conscious attention, but developing a full understanding of this mechanism requires further empirical investigations.

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Cortical mechanisms of colour vision

Cited by 351 publications

References 111 publications

Spatial and Temporal Properties of Cone Signals in Alert Macaque Primary Visual Cortex

Spatial and Temporal Properties of Cone Signals in Alert Macaque Primary Visual Cortex

Electrophysiological evidence for colour effects on the naming of colour diagnostic and noncolour diagnostic objects

On the evolution of conscious attention

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