Sentence examples for distinguish activation of from inspiring English sources

In summary, we conclude that the ability to follow reliably during high-frequency stimulus trains can reliably distinguish activation of ChR2-tagged neurons in this system.

APBs for the proteasome have been utilized to distinguish activation of the constitutive proteasome (β1, β2, and β5) versus the immunoproteasome (β1i, β2i, and β5i) as well as establishing which subunits are inhibited in cells by anticancer agents such as bortezomib.

Advantages of introducing a variable delay before presentation of the task items are that it forces the participants to prepare for the task instantly and that one can distinguish activation at the end of the delay when the participants make their judgment on the word.

Our models distinguish activation from inhibition, dependent from independent regulation as well as strong, medium and weak degrees of effect strength.

We hypothesize that application of the CoGAPS algorithm to future samples of HaCaT with forced expression of RAF and PI3K with activating mutations will distinguish whether the activation of the RAS pathway induces AKT pathway activity preferentially over MAPK pathway in cetuximab resistance.

To distinguish between activation and repression activity of JunD interacting TF partners, the over-representation test was carried out separately for up- and down-regulated target genes (Additional file 1: Table S1).

However, it is difficult to distinguish if the activation of different immune pathways is a direct or indirect result of the virus.

Amplitude variations of ERP traces do not allow distinguishing between activation of different networks (with different potential fields) or modulation of similar networks [45].

In Todd et al.'s empirical data, factoring out differences in reaction time (RT) reduced a classifier's ability to distinguish patterns of activation pertaining to two task rules.

As a consequence, it is not possible to distinguish brain activation associated with anxious face presentations from the performance of the gender discrimination task.

These machine learning methods have the potential to be particularly useful in uncovering how semantic information about objects is represented in the cerebral cortex because they can determine the topographic distribution of the activation and distinguish the content of the information in various parts of the cortex.