The derivation, exposition, and justification of the Selective Tuning model of vision and
attention. Although William James declared in 1890," Everyone knows what attention is," …

In this paper, a novel model of object-based visual attention extending Duncan's Integrated
Competition Hypothesis [Phil. Trans. R. Soc. London B 353 (1998) 1307–1317] is presented …

This chapter reviews some of the major computational models of visual attention and
highlights how they help to clarify concepts in psychological theories. To do this we focus on …

Object recognition and visual attention are tightly linked processes in human perception.
Over the last three decades, many models have been suggested to explain these two …

The selective attention for identification model (SAIM) is presented. This uses a spatial
window to select visual information for recognition, binding parts to objects and generating …

Evidence from numerous studies using the visual world paradigm has revealed both that
spoken language can rapidly guide attention in a related visual scene and that scene …

Figure 1: A Venn diagram of Computational Models organized by the hypotheses that
influence them. The outer large circle represents all possible models while the inner four …

This paper presents arguments that explicit strategies for visual attentional selection are
important for cognitive vision systems, and shows that a number of proposals currently exist …

Connectionist Models in Cognitive Psychology is a state-of-the-art review of neural network
modelling in core areas of cognitive psychology including: memory and learning, language …

This paper proposes a neuronal-based solution to active visual search, that is, visual search
for a given target in displays that are too large in spatial extent to be inspected covertly …