Effects of Spatial Separation Between Stimuli in Whole Report From Brief Visual Displays

Kyllingsbæk, Søren; Valla, Christian; Vanrie, Jan; Bundesen, Claus

doi:10.1037/e512682013-215

Cited by 1 publication

(4 citation statements)

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“…Kyllingsbaek et al 95 found support for the relationship between processing capacity and RF size by manipulating the spatial separation between several stimulus letters in a whole report, while keeping the eccentricity of the stimuli constant. The proportion of correctly identified letters was a strictly increasing decelerating function of the spatial separation of the stimuli, indicating increased processing capacity when the spatial separation between the stimuli was increased.…”

Section: The First Wave Of Unselective Processingmentioning

confidence: 99%

“…To explain the results, a computational model of visual crowding was developed based on the assumption in NTVA of dynamic remapping of RFs of neurons in the visual cortex. Using the model, Kyllingsbaek et al 95 estimated the size of the RFs involved in the processing of the letter stimuli. The estimated radius of the RFs was 29°of visual angle, which corresponded well with neurophysiological findings by recordings in the inferotemporal cortical visual area of macaque monkeys.…”

Section: The First Wave Of Unselective Processingmentioning

confidence: 99%

“…Kyllingsbæk et al . found support for the relationship between processing capacity and RF size by manipulating the spatial separation between several stimulus letters in a whole report, while keeping the eccentricity of the stimuli constant.…”

Section: An Alternativementioning

confidence: 99%

Section: An Alternativementioning

confidence: 99%

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A new perspective on the perceptual selectivity of attention under load

Giesbrecht

Bundesen

et al. 2014

Annals of the New York Academy of Sciences

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The human attention system helps us cope with a complex environment by supporting the selective processing of information relevant to our current goals. Understanding the perceptual, cognitive, and neural mechanisms that mediate selective attention is a core issue in cognitive neuroscience. One prominent model of selective attention, known as load theory, offers an account of how task demands determine when information is selected and an account of the efficiency of the selection process. However, load theory has several critical weaknesses that suggest that it is time for a new perspective. Here we review the strengths and weaknesses of load theory and offer an alternative biologically plausible computational account that is based on the neural theory of visual attention. We argue that this new perspective provides a detailed computational account of how bottom-up and top-down information is integrated to provide efficient attentional selection and allocation of perceptual processing resources.

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Section: The First Wave Of Unselective Processingmentioning

confidence: 99%

Section: The First Wave Of Unselective Processingmentioning

confidence: 99%

Section: An Alternativementioning

confidence: 99%

Section: An Alternativementioning

confidence: 99%

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