A Model of Border-Ownership Coding in Early Vision
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Integration of form and motion within a generative model of visual cortex
Neural Networks - 2004 Special issue Vision and brain
Restoring partly occluded patterns: a neural network model
Neural Networks
What Processing Is Impaired in Apperceptive Agnosia? Evidence from Normal Subjects
Journal of Cognitive Neuroscience
Neural network model restoring partly occluded patterns
International Journal of Knowledge-based and Intelligent Engineering Systems - Advanced Intelligent Techniques in Engineering Applications
Surrounding Suppression and Facilitation in the Determination of Border Ownership
Journal of Cognitive Neuroscience
Shape representation by a network of V4-like cells
Neural Networks
Bayesian interpretation of border-ownership signals in early visual cortex
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
A computational model that enables global amodal completion based on V4 neurons
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Surrounding suppression and facilitation in the determination of border ownership
Journal of Cognitive Neuroscience
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Visual processing has often been divided into three stages---early, intermediate, and high level vision, which roughly correspond to the sensation, perception, and cognition of the visual world. In this paper, we present a network-based model of intermediate-level vision that focuses on how surfaces might be represented in visual cortex. We propose a mechanism for representing surfaces through the establishment of “ownership”---a selective binding of contours and regions. The representation of ownership provides a central locus for visual integration. Our simulations show the ability to segment real and illusory images in a manner consistent with human perception. In addition, through ownership, other processes such as depth, transparency, and surface completion can interact with one another to organize an image into a perceptual scene.