Non-linear integration of crowded orientation signals

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Non-linear integration of crowded orientation signals

Crowding of oriented signals has been explained as linear, compulsory averaging of the signals from target and flankers [Parkes, L., Lund, J., Angelucci, A., Solomon, J. A., & Morgan, M. (2001). Compulsory averaging of crowded orientation signals in human vision. Nature Neuroscience, 4(7), 739-744]. On the other hand, a comparable search task with sparse stimuli is well modeled by a 'Signed-Max...

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On the rules of integration of crowded orientation signals

Crowding is related to an integration of feature signals over an inappropriately large area in the visual periphery. The rules of this integration are still not well understood. This study attempts to understand how the orientation signals from the target and flankers are combined. A target Gabor, together with 2, 4, or 6 flanking Gabors, was briefly presented in a peripheral location (4° eccen...

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Spatial and temporal integration of signals in foveal line orientation.

The discrimination of the orientation of a line improves with line length, reaching an optimum when a foveal line is approximately 0.5 degrees long. We studied the effect of eliminating sections of the line, of displacing them out of alignment, and of delaying them. Orientation discrimination thresholds are only a little elevated when a 25-arcmin line is replaced by three equally spaced colline...

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Information limit on the spatial integration of local orientation signals.

Channel-based models of human spatial vision require that the output of spatial filters be pooled across space. This pooling yields global estimates of local feature attributes such as orientation that are useful in situations in which that attribute may be locally variable, as is the case for visual texture. The spatial characteristics of orientation summation are considered in the study. By a...

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ژورنال

عنوان ژورنال: Vision Research

سال: 2008

ISSN: 0042-6989

DOI: 10.1016/j.visres.2008.07.022