Sentence examples for biased attention from inspiring English sources

There have since been a been a number of other studies that have delivered intended attentional bias modification tasks that have neither successfully modified biased attention or impacted clinical symptomology.

Attention bias modification (ABM) procedures have been shown to modify biased attention with important implications for emotional vulnerability and resilience.

Importantly, biased attention to negative information has been found in both currently depressed and remitted participants [ 13, 14].

One way to test causal hypotheses is to target biased attention and appraisals via cognitive bias modification (CBM) paradigms.

Thus, the visual features of the memory item, and not the semantic association between the memory item and the second exemplar, may have been what biased attention.

Several of these have targeted social anxiety disorder [ 17- 20], with another unsuccessfully attempting to modify biased attention in sufferers of posttraumatic stress disorder [ 21].

These results are in agreement with the gateway hypothesis: during a PM task medBA10 biases attention toward external salient stimuli, SO attending, while latBA10 biases attention toward internal mnemonic representations, SI attending.

Psychological and neuroscientific models of attentional control often characterize attention as under the combined influence of exogenous factors, directing attention towards salient stimuli, and endogenous factors, biasing attention towards task-relevant stimuli [9], [10].

The findings of the experiments reported here therefore support the notion that visual, but not category-type, information biases attention, as was suggested by Olivers et al. (2006).

When one is performing a visual search task, an item held in WM automatically biases attention toward matching targets or distractors in the display (Olivers & Eimer, 2011; Olivers et al., 2011).

Although based on a null effect, this pattern could suggest that semantic information such as object categories is not effective in biasing attention, in contrast to the robust guidance from visual features.