Our aim has been to study visual search in hierarchical patterns through a computational neuroscience perspective. In this way we were able to analyse the relationship between the global precedence effect and attention. The theoretical part of our investigations extended a model built upon the biased-competition hypothesis. An important feature of this extension is that different spatial frequencies are processed with different time constants. Simulations with this model resulted in specific predictions that were confirmed with a novel visual-search experiment utilising hierarchical patterns. Both experiment and simulations suggest that the global-precedence effect prevails under the condition of visual search.
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