BOTTOM-UP VISUAL IMAGE-PROCESSING PROBED WITH WEIGHTED HERMITE-POLYNOMIALS

Authors
Citation
Ja. Yang et A. Reeves, BOTTOM-UP VISUAL IMAGE-PROCESSING PROBED WITH WEIGHTED HERMITE-POLYNOMIALS, Neural networks, 8(5), 1995, pp. 669-691
Citations number
95
Categorie Soggetti
Mathematical Methods, Biology & Medicine","Computer Sciences, Special Topics","Computer Science Artificial Intelligence",Neurosciences,"Physics, Applied
Journal title
ISSN journal
08936080
Volume
8
Issue
5
Year of publication
1995
Pages
669 - 691
Database
ISI
SICI code
0893-6080(1995)8:5<669:BVIPWW>2.0.ZU;2-7
Abstract
This paper explores the use of Gaussian-weighted Hermite Polynomials ( WHPs) in studies of human spatial vision. WHPs form an orthonormal bas is set. They have several useful properties as visual stimuli, e.g., h aving a single origin which can be assigned to the fovea. Contrast-rev ersing WHP-modulated gratings of many levels of contrast, order, and s cale were used to elicit steady-state visual evoked potentials (VEPs) from human visual cortex. Pairs of WHP gratings were also superimposed and contrast-reversed, or presented separately and alternated, to obt ain sum and difference VEPs. We developed a model which related WHP de scriptors to VEP power with just three, model-based, parameters. The m odel avoids the use of numerous free parameters to describe essentiall y arbitrary modulation and phase transfer functions, and does not assu me the visual system is spatially homogeneous. The model provides a us eful ''black box'' account of gross cortical visual responses to patte rned stimuli.