Objectif Understanding spoken language involves a complex set of processes that transform the auditory input into a meaningful interpretation. Our percept is not of acoustic-phonetic detail but of the speaker’s intended meaning. This effortless transition occurs on millisecond timescales, with remarkable speed and accuracy, and without any awareness of the complex computations on which it depends. How is this achieved? What are the processes and representations that support the transition from sound to meaning, and what are the neurobiological systems in which they are instantiated? In this proposal, we combine advanced techniques from neuroimaging, multivariate statistics and computational linguistics to probe directly the dynamic patterns of neural activity, over bilateral fronto-temporal and parietal cortices, that are elicited by spoken words and sentences. Combined MEG + EEG imaging, linked to parallel fMRI studies, capture the real-time electrophysiological activity of the brain. Representational Similarity Analysis (RSA) and related multivariate techniques make it possible to probe the different types of neural computation that support these dynamic processes of incremental interpretation. Computational linguistic analyses of language corpora allow us to build quantifiable models of different dimensions of language interpretation – from phonetics and phonology to argument structure and anaphora - and to test for their presence, using RSA, as the utterance unfolds in real time. By this means we aim to determine directly the nature of the intermediate processes involved in the transition from early perceptual processing through different representational states to the development of a meaningful representation of an utterance, the dynamic spatio-temporal relationship between these processes, and their evolution over time. Champ scientifique natural sciencesbiological sciencesneurobiologycognitive neurosciencehumanitieslanguages and literaturelinguisticsphonologyhumanitieslanguages and literaturelinguisticsphoneticsnatural sciencesmathematicsapplied mathematicsstatistics and probabilitysocial sciencespsychologypsycholinguistics Mots‑clés Cognitive Neuroscience Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Thème(s) ERC-ADG-2014 - ERC Advanced Grant Appel à propositions ERC-2014-ADG Voir d’autres projets de cet appel Régime de financement ERC-ADG - Advanced Grant Institution d’accueil THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE Contribution nette de l'UE € 2 185 856,00 Adresse TRINITY LANE THE OLD SCHOOLS CB2 1TN Cambridge Royaume-Uni Voir sur la carte Région East of England East Anglia Cambridgeshire CC Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 2 185 856,00 Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution nette de l'UE Tout développer Tout réduire THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE Royaume-Uni Contribution nette de l'UE € 2 185 856,00 Adresse TRINITY LANE THE OLD SCHOOLS CB2 1TN Cambridge Voir sur la carte Région East of England East Anglia Cambridgeshire CC Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 2 185 856,00