BINOCULAR RECEPTIVE-FIELD MODELS, DISPARITY TUNING, AND CHARACTERISTIC DISPARITY

Authors
Citation
Yd. Zhu et N. Qian, BINOCULAR RECEPTIVE-FIELD MODELS, DISPARITY TUNING, AND CHARACTERISTIC DISPARITY, Neural computation, 8(8), 1996, pp. 1611-1641
Citations number
27
Categorie Soggetti
Computer Sciences","Computer Science Artificial Intelligence",Neurosciences
Journal title
ISSN journal
08997667
Volume
8
Issue
8
Year of publication
1996
Pages
1611 - 1641
Database
ISI
SICI code
0899-7667(1996)8:8<1611:BRMDTA>2.0.ZU;2-S
Abstract
Disparity tuning of visual cells in the brain depends on the structure of their binocular receptive fields (RFs). Freeman and coworkers have found that binocular RFs of a typical simple cell can be quantitative ly described by two Gabor functions with the same gaussian envelope bu t different phase parameters in the sinusoidal modulations (Freeman an d Ohzawa 1990). This phase-parameter-based RF description has recently been questioned by Wagner and Frost (1993) based on their identificat ion of a so-called characteristic disparity (CD) in some cells' dispar ity tuning curves. They concluded that their data favor the traditiona l binocular RF model, which assumes an overall positional shift betwee n a cell's left and right RFs. Here we set to resolve this issue by st udying the dependence of cells' disparity tuning on their underlying R F structures through mathematical analyses and computer simulations. W e model the disparity tuning curves in Wagner and Frost's experiments and demonstrate that the mere existence of approximate CDs in real cel ls cannot be used to distinguish the phase-parameter-based RF descript ion from the traditional position-shift-based RF description. Specific ally, we found that model simple cells with either type of RF descript ion do not have a CD. Model complex cells with the position-shift-base d RF description have a precise CD, and those with the phase-parameter -based RF description have an approximate CD. We also suggest methods for correctly distinguishing the two types of RF descriptions. A hybri d of the two RF models may be required to fit the behavior of some rea l cells, and we show how to determine the relative contributions of th e two RF models.