Objective Predictions were recently proposed to be the core mechanism organizing brain functioning at all levels and in all domains. However, in contrast, within language comprehension, evidence for predictions has not been ubiquitous across participants, tasks, and materials. In my earlier research I showed that this discrepancy can be reconciled by positing the existence of at least two different neurocognitive mechanisms of prediction: active prediction that is restricted to highly informative contexts and to speakers who can rapidly exploit that informativity, and passive prediction, which is part-and-parcel of language comprehension. The objective of this project is to better understand the different mechanisms involved at the cognitive and at the neural level. I will be trained in 3 specialized techniques: Event-Related Optical Signal, eye-tracking, and magnetoencephalography, as well as new data-analysis methods. This training will enable me to establish, for both types of prediction, the time-course and associated ERP-components, underlying brain structures, their behavioural markers during free reading of texts, and patterns of connectivity and causal exchange of information between involved brain areas. An important novelty lies in the materials used in the project: fully naturalistic stories parametrized using recurrent neural networks. NeuroPred brings together two excellent laboratories: Prof. Kara Federmeier, a pioneer and one of the leading researchers in studying prediction in language comprehension, at the University of Illinois at Urbana-Champaign, and Prof. Peter Hagoort at the Donders Center for Brain, Cognition and Behaviour, a renowned expert in the neurocognition of language. The research bridges psycholinguistics, cognitive neuroscience and computer science. Thanks to this interdisciplinary approach, NeuroPred will provide me with excellent 'training through research' and enable me to transfer newly obtained skills back to the EU. Fields of science natural sciencesbiological sciencesneurobiologycognitive neurosciencesocial sciencespsychologypsycholinguisticsnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2017 - Individual Fellowships Call for proposal H2020-MSCA-IF-2017 See other projects for this call Funding Scheme MSCA-IF-GF - Global Fellowships Coordinator STICHTING RADBOUD UNIVERSITEIT Net EU contribution € 260 929,80 Address Houtlaan 4 6525 XZ Nijmegen Netherlands See on map Region Oost-Nederland Gelderland Arnhem/Nijmegen Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS United States Net EU contribution € 0,00 Address 506 s. wright street, 209 hab, mc 339 61801 Urbana il See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 172 130,40
