GitHub for code used to implement models discussed in the Computational Models of Vision course taught by Jon Winawer; NYU, Spring 2018
The goal of this repository is to create multiple image computionable models of the visual system. We would like to make models that can start with an image (preferably the same), and predict different responses at different stages of the visual system.
So far, we started replicating the following computational observer models from the literature.
Photo receptor level:
(1) Geisler (1984) Physical limits of acuity and hyperacuity. J. Opt. Soc. Am. A
(2) Banks, Sekuler & Anderson (1991) Pheripheral spatial vision: limits imposed by optics, photoreecptors, and receptor pooling. J. Opt. Soc. Am. A
(3) Watson, A. B. (2014). A formula for human retinal ganglion cell receptive field density as a function of visual field location. Journal of Vision, 14(7), 15-15.
(4) Marimont & Wandell (1994). Matching color images: the effects of axial chromatic aberration. JOSA A, 11(12), 3113-3122.
V1:
(5) Fleet, Wagner, & Heeger (1996). Neural encoding of binocular disparity: Energy models, position shifts and phase shifts Vision Research.
MT:
(6) Adelson, E. H., & Bergen, J. R. (1985). Spatiotemporal energy models for the perception of motion. Josa a, 2(2), 284-299.