Sentence examples for regularity detection from inspiring English sources

We propose that this approach can be used within cognitive architectures to model regularity detection and generalization learning.

The newfound context dependent brainstem encoding of speech is evidence of online regularity detection and modulation of the sub-cortical responses.

We argue, that an analytical approach which is governed by regularity detection in example experience is more plausible than generate-and-test approaches.

Regularity detection mechanisms — including adaptation to statistically-probable stimuli and stream segregation — span the entire auditory pathway, extending to subcortical structures [14], [15], [16], [17], [18], [19].

In humans, the auditory brainstem response (ABR) offers a means to study subcortical regularity-detection mechanisms in a non-invasive manner.

The degree of enhancement to repeating sounds was correlated with performance on a speech-in-noise task, suggesting that regularity-detection mechanisms might be involved when an auditory object must be separated from background noise.

We describe four strategies for extracting network regularities: significant feature detection, clustering, central and hub node discovery and network homology.

Detection of regularity is highest during beat finding, whereas generation and prediction are highest during beat continuation.

The initial process of identifying words from spoken language and the detection of more subtle regularities underlying their structure are mandatory processes for language acquisition.

Instead, the logical structure to be copied is parsed from observing the behaviour repeatedly; such parsing only requires detection of the statistical regularities underlying the efficient use of coordinated actions [77], [78].

This regularity of peak seasonality in TB case detection may prove useful to institute measures that warrant a better attendance of migrants.