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," …

The glut of information available for the brain to process at any given moment necessitates
an efficient attentional system that can 'pick and choose'what information receives prioritized …

Selective attention improves sensory processing of relevant information but can also impact
the quality of perception. For example, attention increases visual discrimination performance …

Visual motion analysis has focused on decomposing image sequences into their component
features. There has been little success at re-combining those features into moving objects …

We investigated how attention to a visual feature modulates representations of other
features. The feature-similarity gain model predicts a graded modulation, whereas an …

Saccade planning and execution can be affected by a multitude of factors present in a target
selection task. Recent studies have shown that the similarity between a target and nearby …

Many think that visual attention needs an executive to allocate resources. Although the
cortex exhibits substantial plasticity, dynamic allocation of neurons seems outside its …

Background Feature-based attention prioritizes the processing of the attended feature while
strongly suppressing the processing of nearby ones. This creates a non-linearity or …

Feature-based attention has been shown to enhance the responses of neurons tuned to an
attended feature while simultaneously suppressing responses of neurons tuned to …

Attending to a feature enhances visual processing of that feature, but it is less clear what
occurs to unattended features. Single-unit recording studies in middle temporal (MT) have …