During learning, the brain modifies synapses to improve behaviour. In the cortex, synapses
are embedded within multilayered networks, making it difficult to determine the effect of an …

Re-entrant or feedback pathways between cortical areas carry rich and varied information
about behavioural context, including attention, expectation, perceptual tasks, working …

Emotional arousal enhances perception and memory of high-priority information but impairs
processing of other information. Here, we propose that, under arousal, local glutamate levels …

Automatic estimation of salient object regions across images, without any prior assumption
or knowledge of the contents of the corresponding scenes, enhances many computer vision …

There is increasing evidence that the brain relies on a set of canonical neural computations,
repeating them across brain regions and modalities to apply similar operations to different …

This review focuses on covert attention and how it alters early vision. I explain why attention
is considered a selective process, the constructs of covert attention, spatial endogenous and …

Guided image filter (GIF) is a well-known local filter for its edge-preserving property and low
computational complexity. Unfortunately, the GIF may suffer from halo artifacts, because the …

Stereopsis provides an additional depth cue and plays an important role in the human vision
system. This paper explores stereopsis for saliency analysis and presents two approaches …

Adaptive Resonance Theory, or ART, is a cognitive and neural theory of how the brain
autonomously learns to categorize, recognize, and predict objects and events in a changing …

Attention has been found to have a wide variety of effects on the responses of neurons in
visual cortex. We describe a model of attention that exhibits each of these different forms of …