Sentence examples for multivariate pattern classifier from inspiring English sources

To investigate this possibility, we trained multivariate pattern classifier decoding algorithms on oscillatory brain responses to images depicting natural scenes, recorded with high temporal resolution via magnetoencephalography.

fMRI activity patterns were extracted from retinotopically mapped visual areas 1, 2, and 3 (V2, V2, and V3) and fed into a multivariate pattern classifier (linear support vector machine; see Supplemental Experimental Procedures available online).

Here, we show that multivariate pattern classifiers can extract subject-specific EEG patterns and predict single-trial local or global novelty responses.

In particular, these results show that multivariate pattern classifiers can be used to study simulation and common coding theories.

In summary, our methodological approach was to train individual multivariate pattern classifiers (MVPCs) to distinguish indoor from outdoor scenes separately in each of the three task conditions.

To track the cortical representation of the target location through time, we trained multivariate pattern classifiers separately at every time sample to predict the target location from the recorded brain signals (see 'Materials and methods').

(2013), which applied multivariate neural pattern classifiers to discriminate between expected (predicted) and unexpected (unpredicted) visual stimuli (faces or houses) when they were attended (task-relevant) or unattended.

A new multivariate density estimator suitable for pattern classifier design is proposed.

Using multivariate pattern analysis we trained a classifier to decode numerosity in various regions of interest (ROI).

We present here analyses using multivariate pattern analysis (MVPA) and a machine learning classifier to investigate whether peri-traumatic brain activation was able to predict later intrusive memories (i.e. before they had happened).

The developed fault diagnosis system comprises a detection module based on multivariate statistical techniques and an isolation module that uses an artificial neural network as a pattern classifier.