Abstract
ABSTRACT Neuroimaging studies have increasingly leveraged the information in multivariate patterns of brain activity, transitioning from voxel-by-voxel activation comparisons to multi-voxel pattern analysis (MVPA) and decoding approaches. Representational Similarity Analysis (RSA) has further advanced this field, enabling comparisons of representational structures across neuroimaging modalities and computational models, in particular in fMRI and EEG/MEG research. Recent applications have extended to brain connectivity estimation, enhancing our understanding of neural representations in language and cognition. This special issue, “Patterns Of Language”, showcases recent applications and methodological developments of multivariate analysis approaches in the neuroscience of language.
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