A Neurodynamic Model of Feature-Based Spatial Selection

Volume: 9
Published: Mar 28, 2018
Abstract
Huang and Pashler [2007, Psychological Review, 114(3), 599-631] suggested that feature-based attention creates a special form of spatial representation, which is termed a Boolean map. It partitions the visual scene into two distinct and complementary regions: selected and not selected. Here, we developed a model of a recurrent competitive network that is capable of state-dependent computation. It selects multiple winning locations based on a...
Paper Details
Title
A Neurodynamic Model of Feature-Based Spatial Selection
Published Date
Mar 28, 2018
Volume
9
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.