Objective
The brain uses prior experiences to make a “best guess” of the noisy and ambiguous information in the world around us. These predictions are constantly updated as new sensory information becomes available, yet the computational resources of the brain are limited. What is a viable model for representing and updating predictions in the brain that is both computationally efficient and neurobiologically plausible? I hypothesise that the brain represents predictions by decomposing them into their constituting features and pre-activating those features considered instrumental in explaining the sensory input, thereby allowing to update only parts of the prediction without revising the whole prediction. The proposed project fuses concepts of multi-dimensional feature encoding, cortical processing hierarchies and activity-silent working memory to develop a computational model of prediction and error coding using artificial neural networks. The implications of this model will be empirically tested in human visual perception using functional magnetic resonance imaging with laminar precision. This project aims to gain a deeper understanding of the compositionality of predictions as a building block of fast and accurate perception and bears the potential to transform our understanding of the neural mechanisms giving rise to predictive processes. The project will be carried out at the Donders Institute for Brain, Cognition and Behaviour in the lab of Floris de Lange, a leading expert in the field of predictive processing. As an MSCA postdoctoral fellow, I will conduct cutting-edge research at the intersection of psychology, neuroscience and artificial intelligence, which will give me the opportunity to hone my methodological and management skills, as well as develop my own research program.
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.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European 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) HORIZON-MSCA-2022-PF-01
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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.