A hierarchical neural system with attentional top-down enhancement of the spatial resolution for object recognition.

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Predicting visual fixations on video based on low-level visual features. (2007, unknown): “…compute a topographic saliency map (or master map), which quantitatively predicts the salience of each location of the input picture whereas the others tackle the problem more broadly by attempting to mix together top-down and bottomup interactions (Olshausen et al., 1993; Deco & Schurmann, 2000).”
Computational modelling of visual attention (2001, methodology): “This model has been successfully applied to psychophysical experiments that show attentional enhancement of spatial resolution (see also REFS 34,103 for related experiments and modelling).”
Visual attention: The past 25 years (2011, background): “For instance, Deco and colleagues (Deco & Schurmann, 2000; Deneve, Latham, & Pouget, 1999; Shalev & Tsal, 2002) extended the standard interpretation of selective attention as a spotlight that gates a local region of the visual field to a higher level of processing, while inhibiting the unattended…”
A Neurodynamical Model of Visual Attention: Feedback Enhancement of Spatial Resolution in a Hierarchical System (2001, methodology): “Hence, in this article we consider a model that has been introduced in a previous paper by Deco and Schürmann (2000) in the context of object recognition.”
Modeling attention to salient proto-objects (2006, unknown): “Deco and Schürmann (2000) modulate the spatial resolution of the image based on a top-down attentional control signal.”