Five experiments are reported from which it is concluded that attending on the basis of a stimulus feature (e.g., red)does not directly affect he sensory quality of stimuli that possess that feature. Feature-based attention was manipulated in a visual search task by providing information about he probability that the target would possess a given feature (e.g., "The target has a 1.0 probability of being red when present."). Feature-based attention failed to aid performance under "data-limited " conditions (i.e., those under which performance was primarily affected by the quality of the stimulus) but did affect performance under conditions that were not data limited (Experiments 1-3). If attending to a feature had affected...
<p><b>A</b>, Timing of events for an example feature-based attention trial. The test stimulus consis...
Sometimes, our attention is captured by distracting information in the environment. Studies that exa...
Evidence regarding the ability of attention to bias neural processing at the level of single feature...
Feature-based attention is one of the mechanisms that can facilitate the processing of many aspects ...
Attention—the process of selecting and prioritizing relevant stimuli in our environment—has long bee...
SummaryIt is known that focusing attention on a particular feature (e.g., the color red) facilitates...
Feature-based attention refers to the phenomenon that attending to a feature value (e.g., a specific...
Attention is essential component of visual perception. The present thesis contains experimental resu...
In a complex visual environment, attention is important for the selection of relevant input for furt...
AbstractWhen humans scan their visual environment, relevant objects are selectively attended for enh...
SummaryIt is known that focusing attention on a particular feature (e.g., the color red) facilitates...
Many everyday tasks require selecting relevant objects in the visual field while ignoring irrelevant...
Our ability to select task-relevant information from cluttered visual environments is widely believe...
Our ability to select task-relevant information from cluttered visual environments is widely believe...
© 2013 Dr. Ashika VergheseVisual attention allows the brain to selectively process only what is rele...
<p><b>A</b>, Timing of events for an example feature-based attention trial. The test stimulus consis...
Sometimes, our attention is captured by distracting information in the environment. Studies that exa...
Evidence regarding the ability of attention to bias neural processing at the level of single feature...
Feature-based attention is one of the mechanisms that can facilitate the processing of many aspects ...
Attention—the process of selecting and prioritizing relevant stimuli in our environment—has long bee...
SummaryIt is known that focusing attention on a particular feature (e.g., the color red) facilitates...
Feature-based attention refers to the phenomenon that attending to a feature value (e.g., a specific...
Attention is essential component of visual perception. The present thesis contains experimental resu...
In a complex visual environment, attention is important for the selection of relevant input for furt...
AbstractWhen humans scan their visual environment, relevant objects are selectively attended for enh...
SummaryIt is known that focusing attention on a particular feature (e.g., the color red) facilitates...
Many everyday tasks require selecting relevant objects in the visual field while ignoring irrelevant...
Our ability to select task-relevant information from cluttered visual environments is widely believe...
Our ability to select task-relevant information from cluttered visual environments is widely believe...
© 2013 Dr. Ashika VergheseVisual attention allows the brain to selectively process only what is rele...
<p><b>A</b>, Timing of events for an example feature-based attention trial. The test stimulus consis...
Sometimes, our attention is captured by distracting information in the environment. Studies that exa...
Evidence regarding the ability of attention to bias neural processing at the level of single feature...