An established view of attention is that it acts by biasing the competition between rival representations at various stages in visual processing (e.g., Desimone & Duncan, 1995). The bias brings about a processing advantage for attended items over unattended items, so that attended items have greater neural activity in associated representations, are better perceived, remembered, and eventually are more likely to be acted on. There is extensive evidence that the bias can originate in one of two sources. It can be data driven and result from input properties, in which case more salient items will be biased over less salient ones (e.g., Theeuwes, 1991). Conversely, the bias can be internally driven and result from the current behavioural goals...
What mechanisms underlie the prioritization of neural representations of visually perceived informat...
The Biased Competition Model (BCM) suggests both top-down and bottom-up biases operate on selective ...
Becker SI, Grubert A, Horstmann G, Ansorge U. Which processes dominate visual search: Bottom-up feat...
Multiple stimuli present in the visual field at the same time compete for neural representation by m...
When we observe our visual environment, we do not perceive all its components as being equally inter...
© 2013 Dr. Ashika VergheseVisual attention allows the brain to selectively process only what is rele...
The research focuses on the role of top-down influences on selective attention across the attentiona...
Top-down attention has often been separately studied in the contexts of either optimal population co...
Prominent models of attentional control assert a dichotomy between top-down and bottom-up control, w...
How do we select behaviourally important information from cluttered visual environments? Previous re...
AbstractThe biased competition theory of selective attention has been an influential neural theory o...
Roughly, 50% of the human brain is devoted to visual processing. The remarkable abilities of our vis...
AbstractVisual attention is attracted by salient stimuli that ‘pop out’ from their surroundings. Att...
Visual search for feature singletons is slowed when a task-irrelevant, but more salient distracter s...
Despite our visual system receiving irrelevant input that competes with task-relevant signals, we ar...
What mechanisms underlie the prioritization of neural representations of visually perceived informat...
The Biased Competition Model (BCM) suggests both top-down and bottom-up biases operate on selective ...
Becker SI, Grubert A, Horstmann G, Ansorge U. Which processes dominate visual search: Bottom-up feat...
Multiple stimuli present in the visual field at the same time compete for neural representation by m...
When we observe our visual environment, we do not perceive all its components as being equally inter...
© 2013 Dr. Ashika VergheseVisual attention allows the brain to selectively process only what is rele...
The research focuses on the role of top-down influences on selective attention across the attentiona...
Top-down attention has often been separately studied in the contexts of either optimal population co...
Prominent models of attentional control assert a dichotomy between top-down and bottom-up control, w...
How do we select behaviourally important information from cluttered visual environments? Previous re...
AbstractThe biased competition theory of selective attention has been an influential neural theory o...
Roughly, 50% of the human brain is devoted to visual processing. The remarkable abilities of our vis...
AbstractVisual attention is attracted by salient stimuli that ‘pop out’ from their surroundings. Att...
Visual search for feature singletons is slowed when a task-irrelevant, but more salient distracter s...
Despite our visual system receiving irrelevant input that competes with task-relevant signals, we ar...
What mechanisms underlie the prioritization of neural representations of visually perceived informat...
The Biased Competition Model (BCM) suggests both top-down and bottom-up biases operate on selective ...
Becker SI, Grubert A, Horstmann G, Ansorge U. Which processes dominate visual search: Bottom-up feat...