Modeling attention to salient proto-objects

Neural Netw. 2006 Nov;19(9):1395-407. doi: 10.1016/j.neunet.2006.10.001.


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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Attention*
  • Computer Simulation
  • Discrimination Learning / physiology
  • Feedback
  • Humans
  • Models, Biological*
  • Neural Networks, Computer
  • Pattern Recognition, Visual / physiology*
  • Photic Stimulation / methods
  • ROC Curve