Objectif The project centers on a new computational model, the POP-R model, that implements two original, and apparently contradictory, hypotheses with respect to the processing of orthographic information spanning several words during silent reading for meaning: 1) orthographic information spanning several words is processed in parallel and integrated within a single pool of location-invariant orthographic representations; 2) readers process multiple word identities in parallel and keep track of the positions of these words by associating word identities with spatiotopic locations in short-term memory. The apparent contradiction is solved in POP-R by the triangular connectivity between gaze-centered letter detectors, spatiotopic word identities, and location-invariant orthographic representations. Evidence in favor of the first hypothesis has been obtained with a novel Flanking Letters Lexical Decision task. The second hypothesis predicted the existence of a sentence superiority effect in a novel Rapid Parallel Visual Presentation paradigm, for which we have preliminary evidence. Other key predictions of the POP-R model will be tested in behavioral experiments using these new techniques, and EEG and MEG recordings will be used to specify the spatio-temporal dynamics of the neural processes underlying orthographic pooling and parallel word identification. Experiments with primary school children will plot the developmental trajectory of these processes, and sentence reading experiments measuring eye-movements and ERPs will be used to further test the model. The project incorporates both theoretical and methodological innovation within a novel perspective on reading that places orthographic processing at the very heart of the reading network. This new perspective is expected to facilitate the integration of knowledge concerning low-level visual processing and eye-movement control with higher-level semantic and syntactic processing during silent reading for meaning. Mots‑clés Reading Orthographic Processing Computational Modeling Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Thème(s) ERC-2016-ADG - ERC Advanced Grant Appel à propositions ERC-2016-ADG Voir d’autres projets de cet appel Régime de financement ERC-ADG - Advanced Grant Institution d’accueil CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Contribution nette de l'UE € 2 498 485,00 Adresse RUE MICHEL ANGE 3 75794 Paris France Voir sur la carte Région Ile-de-France Ile-de-France Paris Type d’activité Research Organisations 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 € 2 498 485,00 Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution nette de l'UE Tout développer Tout réduire CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS France Contribution nette de l'UE € 2 498 485,00 Adresse RUE MICHEL ANGE 3 75794 Paris Voir sur la carte Région Ile-de-France Ile-de-France Paris Type d’activité Research Organisations 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 € 2 498 485,00
