Transforming the neuroscience of language: estimating pattern-to-pattern transformations of brain activity

The cognitive neuroscience of language aims at revealing how linguistic information is represented and manipulated in the brain to enable communication meaningful behaviour. An important aspect underlying processes integration transformation across multiple systems. In order understand these processes, a detailed characterisation connectivity key. For most accurate connectivity, methods should make use full multivariate multidimensional available from neuroimaging data. This include transformations between patterns activation regions, particular their dependence on stimulus features, task context. Methods for this type analysis event-related experimental designs have only recently begun emerge. paper describes novel developments potential transform language, with focus fMRI EEG/MEG research.