title: Dynamic coding of border-ownership in visual cortex.
abstract: Humans are capable of rapidly determining whether regions in a visual scene appear as figures in the foreground or as background, yet how figure-ground segregation occurs in the primate visual system is unknown. Figures in the environment are perceived to own their borders, and recent neurophysiology has demonstrated that certain cells in primate visual area V2 have border-ownership selectivity. We present a dynamic model based on physiological data that indicates areas V1, V2, and V4 act as an interareal network to determine border-ownership. Our model predicts that competition between curvature- sensitive cells in V4 that have on-surround receptive fields of different sizes can determine likely figure locations and rapidly propagate the information interareally to V2 border-ownership cells that receive contrast information from V1. In the model border-ownership is an emergent property produced by the dynamic interactions between V1, V2, and V4, one which could not be determined by any single cortical area alone.
authors.affiliation: Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA, USA.
authors.forename: Oliver W
authors.initials: OW
authors.lastname: Layton
authors.forename: Ennio
authors.initials: E
authors.lastname: Mingolla
authors.forename: Arash
authors.initials: A
authors.lastname: Yazdanbakhsh
mesh_terms: D000818:Animals; D001931:Brain Mapping; D006801:Humans; D009474:Neurons / Q000502:physiology*; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation; D014793:Visual Cortex / Q000502:physiology*