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Développement, Neurocognition, Dysfonctionnements

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Spatial and temporal organization of language processing


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Sophie BOUTON

Scientific framework and objectives

Brain functions can be explored using data-driven methods, which allow to work with very large datasets collected in relatively natural experimental settings, or by hypothesis-driven methods, which allow structuring the experimental material and producing clearly readable results. Both types of methods do not come without drawbacks, and pose interpretation problems, particularly in cognitive domains such as speech and language, where temporal processing is a key component. Indeed, while hypothesis-driven methods explicitly address speech processing as a hierarchical system of functional modules, data-driven approaches probe speech processing as a system that flexibly combines multiple features.
Despite the disparity of available methods and underlying concepts, the objective of this work package is to fruitfully combined the two approaches.


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