Sentence examples for categorical processing from inspiring English sources

As already described for the case of the categorical processing aspect, increased demands on cognitive control, (verbal) working memory, interference resolution, etc. should be primarily reflected by the involvement of (pre)frontal cortices in carry addition problems [ 6, 11- 13].

It has been hypothesized that, parallel to object- and face-recognition areas in the ventral visual pathway, a subcortical face processing system may exist where a biologically salient stimulus is detected and coarsely processed already before categorical processing in temporal cortex takes place [94], [95].

We found a clear right hemisphere advantage for coordinate processing and no lateralization for categorical processing.

This provides novel evidence regarding the typical categorical processing of socially relevant sounds.

Lee, Y. S., Turkeltaub, P., Granger, R. & Raizada, R. D. S. Categorical speech processing in Broca's area: an fMRI study using multivariate pattern-based analysis.

Even though Self-Organizing Maps (SOMs) constitute a powerful and essential tool for pattern recognition and data mining, the common SOM algorithm is not apt for processing categorical data, which is present in many real datasets.

In everyday vision categorical representational processing of objects is not ultra-rapid and seems to require the full 300 ms of neural processing.

Despite major progress made in our understanding of categorical information processing such as for objects and faces, little is known, however, about how the primate brain evolved to process emotional cues.

In order to focus on purely perceptual processes, studies of speech processing using MVPA have assessed the categorical content of isolated syllables rather than sentences (Formisano et al. 2008; Kilian-Hutten et al. 2011).

Since the k-means and k-modes algorithms are efficient for processing large numeric and categorical data sets respectively, the combination of objective functions for measuring dissimilarity has been applied in the k-prototypes algorithm as a practical approach to extend the k-means-like algorithm for clustering large data sets with categorical values [ 7].

In contrast, the view of categorical organization [7] [9] proposes that people's subjective representation of geographic locations is principally categorical rather than due to perceptual (or figurative) processing.