Sentence examples for multivariate pattern consistency from inspiring English sources

Additionally, as for the observed data, the multivariate pattern consistency of RE voxels was weaker, probably because RE voxels were less numerous overall.

For completeness, we also report as Supplementary Material the whole-brain results for both the univariate effects and the multivariate pattern-consistency effects (Supplementary Fig. S2).

Overall, the extent to which multivariate patterns are consistent among groups at different organizational levels varies.

Crucially, however, is that only in the repetition sensitivity dataset did multivariate analyses reveal significant sign consistency (P < 0.001) and pattern consistency for both RS voxels (P < 0.001) and RE voxels (P = 0.001), while in the face selectivity dataset these statistics were all centered on zero.

Multivariate pattern analysis (MVPA) is a relatively recent innovation in functional magnetic resonance imaging (fMRI) methods.

In the approach, we define pattern consistency for structural and behavioral pattern properties and pattern conformance for pattern applicability before transformation solution conformance after transformation.

The second technique, multivariate pattern analysis (MVPA), makes use of multivariate statistics to recover small biases in individual voxels in their responses to different stimuli.

Fluorescence decay traces of the individual pixels were partitioned into classes (i.e., clusters) using a multivariate pattern recognition method.

Multivariate pattern classification techniques have been applied to BCI systems across many modalities [1], [7].

Multivariate pattern analysis may inform future innovation in mental health.

Multivariate pattern recognition analyses reveal discriminating activation patterns without necessarily defining the direction of activation.