Objective
Language and meaning processing have been investigated with event-related brain potentials (ERPs), providing direct time-resolved measures of electrical brain activity, and with connectionist network models, providing mechanistic implementations of the assumed processes. However, there has been very little contact between these fields, even though a combination of both methods could be highly beneficial. Based on initial evidence from the applicant, the present project therefore aims to integrate ERPs and computational models in research on language and meaning.
Specifically, the N400 ERP component is widely used in research on language and meaning. As the computational mechanisms underlying this component are still unclear, we recently related the N400 to a model of word meaning and observed a close correspondence between N400 amplitudes and semantic network error. As network error is often conceptualized as implicit prediction error, we took these results to indicate that N400 amplitudes may reflect implicit prediction error in the semantic system.
However, because the most typical N400 effects are observed during sentence processing, I propose to extend connectionist N400 simulations to sentence processing (Objective 1). Furthermore, the development of syntactic and semantic knowledge in the model should be related to the development of syntactic and semantic ERP components, both in developmental time and when processing words in sentences over time (Objective 2). Next, we aim to test behavioral predictions derived from this model-based account of N400 amplitudes, namely that larger N400 amplitudes should enhance implicit memory formation (Objective 3). Finally, the model-based account of N400 amplitudes as reflecting implicit prediction error should be tested in a conceptually similar theoretical framework, namely the Bayesian brain hypothesis. Thus, we will model N400 amplitudes as Bayesian surprise in the semantic system (Objective 4).
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 computer and information sciences artificial intelligence machine learning deep learning
- 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-2014
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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.
14195 BERLIN
Germany
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.