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Saliency Map Models for Stimulus-Driven Mechanisms in Visual Search: Neural and Functional Accounts

  • Jun Saiki
  • Takahiko Koike
  • Matthew deBrecht
Conference paper

Abstract

Saliency map models have been influential in neurocognitive modeling of visual attention. Despite recent applications to complex visual scenes, some basic characteristics of the model remain elusive. Here, we address two issues; neural plausibility of saliency computation, and functional account of search asymmetry phenomenon by a saliency map model. With some modifications, we showed that saliency can be computed by a neurally plausible way, and that search asymmetry can be accounted for only by stimulus-driven mechanisms.

Keywords

Visual Search Visual Attention Visual Search Task Synaptic Depression Search Asymmetry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Jun Saiki
    • 1
  • Takahiko Koike
  • Matthew deBrecht
  1. 1.Unit of Cognitive Science Graduate School of Human and Environmental StudiesKyoto University Yoshida-NihonmatsuchoSakyo-kuJapan

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