Implementing neural changes associated with attention in a deep neural network causes performance changes that mimic those observed in humans and macaques.

Covert visual attention modulates alpha-band traveling waves propagating from frontal to occipital regions in both hemispheres, yet it modulates waves propagating in the opposite direction (occipital to frontal) only in the presence of visual stimulation.

The representations of information concerning the number, size, density and surface of sets of objects in a visual image are separable along the occipito-parietal cortex and independently modulated by attention.

The sampling of visual space is not only warped by attention towards locations but also depends on attended features.

Visual attention modulates the integration of the evidence that is most useful for achieving a goal in both perceptual and value-based decisions.

Simultaneous sampling of electrical voltages outside the brain with neural signals in the cerebral cortex reveals how electrical currents in mosaics of cortical columns produce an electrical signal that can be measured noninvasively to assess the allocation of attention.

A normalization model is shown to predict responses to multiple objects across changes in the attentional state in the visual cortex, providing evidence for the role of normalization as a fundamental operation in the human brain.

A biophysical cortical circuit model reveals how thalamic inputs mediate complex dynamics in the frontal eye fields and lateral intraparietal area, enabling rhythmic enhancements in visual sensitivity observed behaviorally.

Spatial attention and saccadic processing co-ordinate to ensure that attention is available at a task-relevant location soon after the beginning of each eye fixation.

The human brain involuntarily exploits multiscale regularities in rhythmic contexts to recompose the dynamic profile of visual temporal attention.