Objective
"New theories of Autism Spectrum Disorders (ASD) based on Predictive Coding have been proposed in recent years. These theories are motivated by the increasing empirical support for predictive coding models of the brain and the unprecedented amount of autism symptoms that can be explained by this framework. Recently, Van de Cruys et al. (2014) proposed the ""High Inflexible Precision of Prediction Errors in ASD"" theory, suggesting that individuals with ASD have difficulties in differentiating random variability from relevant learnable regularities in the world, and that this may explain their peculiar behaviour in cognitive and perceptual tasks as well as some of their affective issues. This could be rooted in altered meta-learning processes (learning about what is ""learnable""). However, empirical investigations of some of the theory’s critical hypotheses are missing. Here we assess these hypotheses using neuroimaging methods (EEG and fMRI) and tasks that integrate attention orienting, probabilistic learning and perceptual organization in vision.
Specific objectives: A- Investigating if meta-learning processes are affected in ASD and which neural networks are involved. B- Understanding where and when these mechanisms are altered in the hierarchy of visual information processing. C- Identifying potential neural markers of ASD and relating these to individual differences.
This theory was proposed by the host lab. It currently develops state-of-the art multidisciplinary investigations bridging basic and clinical research. However, the lab lacks a researcher with both clinical and neuroimaging expertise at the moment. My expertise will be critical in integrating these lines of research and assessing their theory. During the fellowship I will gain new neuroimaging research skills and improve my ability to integrate theoretical models with clinical research. The university will host ECVP 2019, a unique opportunity for networking, dissemination and learning of management."
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 data science data processing
- 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-EF-ST - Standard EF
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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.
3000 LEUVEN
Belgium
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.