Sentence examples for attended objects from inspiring English sources

Most contemporary theories posit that attentional selection is the outcome of biased competition between preferentially enhanced activity elicited by attended objects and reduced activity to non-attended objects (Desimone and Duncan 1995; Kastner et al. 1998).

For attended objects, subjects did not show any difference in their ability to detect accelerations, regardless of the strength of inter-object competition or spatial distance.

Such learning potentially facilitates tracking in natural vision, although learning is largely confined to the trajectories of attended objects.

Moreover, AD patients were more accurate for the unattended objects at decision points when directly compared to attended objects placed at decision points.

We returned to the target/decoy paradigm used by Hilimire and colleagues [13] and we varied the separation and relative salience between two attended objects.

Furthermore, this effect was in part modulated by attention in the controls: for objects placed at decision points, no effect of attention was found, whereas for objects placed at non-decision points the highly attended objects (i.e., the toys) were remembered better than the less attended objects (i.e., the non-toys).

It attends to the most salient location in the scene, and attempts to recognize the attended object through hierarchical matching against object representations stored in long-term memory.

TIP regulation was unilateral and specific to the attended object; when two objects were palpated bilaterally simultaneously, TIP probability increased to >65% and decreased to <20% for contacts with the apparently-attended and apparently-unattended object, respectively.

The findings support current noise reduction models and suggest that attention adjusts neuronal processing to ensure a constant sensory representation of the attended object as if this object was the only one in the scene.

In this case it would be predicted that the target selective response should resemble a simple similarity function, with the level of response related directly to the level of congruence between the currently attended object, and the recently defined target.

Based on the electrophysiology findings it seems sensible to predict that the better the currently attended object matches the item that the currently intended action plan is programmed around, the more it will activate the frontoparietal network, which is assumed to represent the currently relevant objects, actions, and task criteria.