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 (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences neurobiology cognitive neuroscience
- social sciences psychology psycholinguistics
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-GF - Global Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
6525 XZ Nijmegen
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.