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Possible Functions of Contextual Modulations and Receptive Field Nonlinearities: Pop-out and Texture Segmentation

Overview
Journal Vision Res
Specialty Ophthalmology
Date 2014 Jul 28
PMID 25064441
Citations 15
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Abstract

When analyzing a visual image, the brain has to achieve several goals quickly. One crucial goal is to rapidly detect parts of the visual scene that might be behaviorally relevant, while another one is to segment the image into objects, to enable an internal representation of the world. Both of these processes can be driven by local variations in any of several image attributes such as luminance, color, and texture. Here, focusing on texture defined by local orientation, we propose that the two processes are mediated by separate mechanisms that function in parallel. More specifically, differences in orientation can cause an object to "pop out" and attract visual attention, if its orientation differs from that of the surrounding objects. Differences in orientation can also signal a boundary between objects and therefore provide useful information for image segmentation. We propose that contextual response modulations in primary visual cortex (V1) are responsible for orientation pop-out, while a different kind of receptive field nonlinearity in secondary visual cortex (V2) is responsible for orientation-based texture segmentation. We review a recent experiment that led us to put forward this hypothesis along with other research literature relevant to this notion.

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References
1.
Bair W, Cavanaugh J, Movshon J . Time course and time-distance relationships for surround suppression in macaque V1 neurons. J Neurosci. 2003; 23(20):7690-701. PMC: 6740744. View

2.
Chubb C, Sperling G . Drift-balanced random stimuli: a general basis for studying non-Fourier motion perception. J Opt Soc Am A. 1988; 5(11):1986-2007. DOI: 10.1364/josaa.5.001986. View

3.
Kastner S, Nothdurft H, Pigarev I . Neuronal correlates of pop-out in cat striate cortex. Vision Res. 1997; 37(4):371-6. DOI: 10.1016/s0042-6989(96)00184-8. View

4.
Hegde J, Felleman D . How selective are V1 cells for pop-out stimuli?. J Neurosci. 2003; 23(31):9968-80. PMC: 6740870. View

5.
Zhou Y, Baker Jr C . Envelope-responsive neurons in areas 17 and 18 of cat. J Neurophysiol. 1994; 72(5):2134-50. DOI: 10.1152/jn.1994.72.5.2134. View