title: A laminar cortical model of stereopsis and 3D surface perception: closure and da Vinci stereopsis.
abstract: A laminar cortical model of stereopsis and 3D surface perception is developed and simulated. The model describes how monocular and binocular oriented filtering interact with later stages of 3D boundary formation and surface filling-in in the LGN and cortical areas V1, V2, and V4. It proposes how interactions between layers 4, 3B, and 2/3 in V1 and V2 contribute to stereopsis, and how binocular and monocular information combine to form 3D boundary and surface representations. The model includes two main new developments: (1) It clarifies how surface-to-boundary feedback from V2 thin stripes to pale stripes helps to explain data about stereopsis. This feedback has previously been used to explain data about 3D figure-ground perception. (2) It proposes that the binocular false match problem is subsumed under the Gestalt grouping problem. In particular, the disparity filter, which helps to solve the correspondence problem by eliminating false matches, is realized using inhibitory interneurons as part of the perceptual grouping process by horizontal connections in layer 2/3 of cortical area V2. The enhanced model explains all the psychophysical data previously simulated by Grossberg and Howe (2003), such as contrast variations of dichoptic masking and the correspondence problem, the effect of interocular contrast differences on stereoacuity, Panum's limiting case, the Venetian blind illusion, stereopsis with polarity-reversed stereograms, and da Vinci stereopsis. It also explains psychophysical data about perceptual closure and variations of da Vinci stereopsis that previous models cannot yet explain.
authors.affiliation: Department of Cognitive and Neural Systems and Center for Adaptive Systems, Boston University, Boston, MA 02215, USA.
authors.forename: Yongqiang
authors.initials: Y
authors.lastname: Cao
authors.forename: Stephen
authors.initials: S
authors.lastname: Grossberg
mesh_terms: D000818:Animals; D003198:Computer Simulation; D003867:Depth Perception / Q000502:physiology*; D006801:Humans; D015348:Vision, Binocular / Q000502:physiology; D014793:Visual Cortex / Q000502:physiology*