2006 Special Issue: Modeling attention to salient proto-objects

  • Authors:
  • Dirk Walther;Christof Koch

  • Affiliations:
  • Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, USA;Division of Biology, California Institute of Technology, MC 216-76, Pasadena, CA 91125, USA

  • Venue:
  • Neural Networks
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

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.