Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
Sparse coding in the primate cortex
The handbook of brain theory and neural networks
Generic Model Abstraction from Examples
IEEE Transactions on Pattern Analysis and Machine Intelligence
Form-From-Motion: MEG Evidence for Time Course and Processing Sequence
Journal of Cognitive Neuroscience
Attention links sensing to recognition
Image and Vision Computing
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Modeling the Dynamics of Feature Binding During Object-Selective Attention
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
Computational visual attention systems and their cognitive foundations: A survey
ACM Transactions on Applied Perception (TAP)
An attentional approach for perceptual grouping of spatially distributed patterns
Proceedings of the 29th DAGM conference on Pattern recognition
Different binding strategies for the different stages ofvisual recognition
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
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We present a biologically plausible computational model for solving the visual binding problem. The binding problem appears due to the distributed nature of visual processing in the primate brain, and the gradual loss of spatial information along the processing hierarchy. The model relies on the reentrant connections so ubiquitous in the primate brain to recover spatial information, and thus allow features represented in different parts of the brain to be integrated in a unitary conscious percept. We demonstrate the ability of the Selective Tuning (ST) model of visual attention [1] to recover spatial information, and based on this propose a general solution to the binding problem. The solution is demonstrated on two classic problems: recovery of form from motion and binding of shape and color. We also demonstrate how the method is able to handle difficult situations such as occlusions and transparency. The model is discussed in relation to recent results regarding the time course and processing sequence for form-from-motion in the primate visual system.