Sentence examples for normalizing model from inspiring English sources

We also found that the derived parameter from a multiplicative attention normalizing model was significantly correlated with attentional and with surround modulation indices.

It is noteworthy, however, that our models, despite accounting for most of the variance, underestimate the peak amplitude response for some of the conditions by about 5 10% (see Fig. 7), which was less pronounced for the additive non-normalizing model (Fig. 7B).

It displays the measured population responses (Fig. 7A) and the fitted population response for the two non-normalizing models [multiplicative (Fig. 7B) and additive non-normalizing models (Fig. 7C)].

Given our results of non-normalizing models being the better descriptors for the majority of cells, the latter may not be very prominent.

After spatially normalizing each patient's GRE T2* images into a standard stereotaxic space, the automated microbleed detection algorithm (MIDAS) identified cerebral microbleeds by explicitly incorporating an "extra" tissue class for abnormal voxels within a unified segmentation-normalization model.

(2012) and employed single parameter models (additive normalizing, multiplicative normalizing) to fit our data.

The intercept is the log of the bulk normalization constant for the external RNA control (i.e., the model is self-normalizing, independent of the normalization of the background samples carrying the spike-ins).

Normalizing genes identified by mathematical modeling.

Normalizing metabolic homeostasis in various models using such hypermetabolic animals may be setting the bar a bit low.

For the second scheme (period 2013-2019) [ 3] one of the hubs that needs to be strengthened is the use of Basque in the documents: "emphasis should be placed on the documents of a care nature through the normalizing and systematizing of bilingual models of documents, bearing in mind that their adaptation or production in Basque must be facilitated and simplified by professionals.

Let y gi be a difference between a sample and the standard, This gives To eliminate log2 (C i/ C s) from the statistical model, we use a normalizing covariate, z i.