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.

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

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

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

Faced with multiple sources of sound, humans can better perceive all of a target sound's features when one of those features changes in time with a visual stimulus.

A combined behavioural and electroencephalographic approach investigating the covert allocation of attention shows evidence for distributed periodic sampling away from a conscious visual image.

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

Neural activity in the visual system is increased in different layers of the neocortex for bottom-up and top-down modulations.

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 visual system groups the individual features of objects together into a coherent whole via a serial, attention-demanding process.