Sentence examples for a conjunction of features from inspiring English sources

Accuracy of detecting a second target varied with the temporal proximity of two successive targets when subjects searched for a conjunction of features, but not a single feature.

We used functional magnetic resonance imaging to explore the behavioural and neuroanatomical correlates of non-spatial search for a conjunction of features within a stream of temporally-distracting stimuli.

Mode of stimulus-distribution (spatial versus temporal) and search type (target defined by a single feature or a conjunction of features) were manipulated in a 2×2 factorial design.

But when the target is defined by a conjunction of features, such as a green square embedded within a display of red squares and green discs, response times increase with the number of distractors (Treisman & Gelade, 1980; Kristjánsson, Wang, & Nakayama, 2002; Wolfe, 1998).

Children have difficulty with foraging for two target types, not only when they are defined by a conjunction of features but, unlike adults, also when they forage simultaneously for two target types that are distinguished from distractors by a single feature.

These experiments, and the associated computational and modeling approaches, by and large have converged on the notion that words can be represented by a conjunction of features, with each phoneme in a word contributing a set of features.

The IF part of a rule is a conjunction of feature values and the THEN part is a disjunction of class labels.

In our case, the symbols are the target items, which can be defined by a single feature (color) or a conjunction of two features (color and shape).

Thus, authors have demonstrated that FEF and PPC, notably, are involved in serial tasks where the target is defined as a conjunction of simple features, but not in parallel tasks where a single elementary feature defines the target [22].

"Popout" stimuli differ uniformly from surrounding items and are more easily detected than stimuli composed of a conjunction of surrounding features.

Briefly, the model regards word recognition as a Bayesian inference process in which vocabulary words are prototypes defined by a conjunction of phonetic features.