Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
407803 | Neural Networks | 2006 | 13 Pages |
Abstract
Selective visual attention is believed to be responsible for serializing visual information for recognizing one object at a time in a complex scene. But how can we attend to objects before they are recognized? In coherence theory of visual cognition, so-called proto-objects form volatile units of visual information that can be accessed by selective attention and subsequently validated as actual objects. We propose a biologically plausible model of forming and attending to proto-objects in natural scenes. We demonstrate that the suggested model can enable a model of object recognition in cortex to expand from recognizing individual objects in isolation to sequentially recognizing all objects in a more complex scene.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Dirk Walther, Christof Koch,