Energy model for contrast detection: spatial-frequency and orientation selectivity in grating summation

Vision Research
V Manahilov, W A Simpson

Abstract

Models of spatial vision usually assume a "front-end" of spatial-frequency and orientation selective channels. Subthreshold-summation studies have provided some of the strongest support for this notion. We applied a single-channel energy model and a multiple-channels probability-summation model to explore subthreshold-summation phenomena. We measured the contrast thresholds for detection of two superimposed Gabor patches as a function of the spatial-frequency and orientation difference between the components. The stimuli were centred 7.5 deg above the fixation point and were windowed by a Gaussian function with one of two different spatial spreads. We have shown that the spatial-frequency and orientation selectivity in subthreshold summation of Gabor patches is determined by the similarity (cross-correlation) between the stimulus components. A single-channel energy model as well as a multiple-channels probability-summation model could explain the summation data.

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Citations

May 9, 2009·The British Journal of Mathematical and Statistical Psychology·Miguel A García-Pérez
Apr 14, 2005·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Damon M Chandler, Sheila S Hemami
Jul 12, 2003·Vision Research·William A SimpsonVelitchko Manahilov
Dec 17, 2005·Journal of Vision·Andrew B Watson, Albert J Ahumada
Jul 19, 2003·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Damon M Chandler, Sheila S Hemami
Dec 12, 2020·Vision Research·Frederick A A Kingdom, Philipp Woessner
Mar 1, 2021·Consciousness and Cognition·Lana OkuboTakahiro Kawabe

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