Sentence examples for general salience from inspiring English sources

Thus, it is likely that the network that we observed here represents a more general salience network that is activated by the individually perceived saliency of the tinnitus sound.

First, given the links between ventral basal ganglia and insula in reward/statistical learning and general salience processing (Menon and Uddin 2010; Diekhof et al. 2012), our findings suggest that language delay in autism may signal deficits or atypical processing in these domains.

The analysis of this study then turned to whether the function of a central component of the combined domain-general salience and central executive networks reflected language recovery.

It can be predicted from the present study that these tasks will also involve activation of domain-general salience and central executive networks, in addition to language-specific systems.

In this group, the focus is on general motivation salience to meet personal goals.

On the other hand it has also been discussed that lateral brain areas, i.e. the fusiform gyrus and the inferior temporal gyrus do not only respond to low level features of the visually presented stimuli such as color or luminance but also to the general emotional salience and more specifically to the sexually arousing character of the presented images [ 38].

In contrast, the stronger activation in the fusiform gyrus (and also in primary visual regions) could be associated either with the processing of low level features of the visually presented stimuli such as color or luminance or with the general emotional salience and more specifically with the sexually arousing character of the presented images.

This is the first study that has directly correlated activity in a domain general system, specifically the salience network, with residual language performance in post-stroke aphasia.

Although this problem has been generalized by philosophers such as Dennett (1984) to a general problem of relevance and salience of properties pertaining to action, the heart of the problem is that in a 'common-sense' setting as one encounters in AI, it is virtually impossible to specify all the effects by the actions of concern, as well as, notably, all non-effects.

Instead, word learning can be accounted for through general learning mechanisms such as salience, association, and frequency.

There are realities of this worth considering for the way we process information in general, but it has particular salience when it comes to the messages we receive from the president.