Project description
Unveiling the interplay of vision and memories
Our vision system is based on anticipation that allows us to calculate reaction to a stimulus that is known from past recollection. However, functional magnetic resonance imaging (fMRI) studies have shown a temporally compressed pattern completion in a primary visual cortex as a reaction for signalisation of stimulus learned in the past. This is a visual preplay activity, resembling the anticipation model. The fascinating phenomena and their relation to memory need further explanation. The EU-funded VisPrepMem project will study the visual preplay effect through its inducted neural oscillations and its connections with memory. It will apply a combination of magnetoencephalography, fMRI and machine learning techniques to unveil the interplay of vision and memory in different brain areas.
Objective
The visual system is an anticipatory system. For example, in order to hit a tennis ball during a match, parts of the brain calculate the future trajectory of the tennis ball based on its past travel through the air to enable you to hit the ball. A recent study by Ekman et al. (2017) demonstrated how the visual system anticipates a ball’s trajectory in such a scenario. In their functional magnetic resonance imaging (fMRI) study, they found temporally compressed pattern completion in primary visual cortex for a previously learned rapid stimulus sequence (simulating a moving dot) following the presentation of only the very first stimulus. This visual preplay activity reflects an anticipation of the future trajectory of a moving object based on previous experience, thereby intersecting vision and memory. Interestingly, the mechanism of pattern completion plays a big role in the reinstatement of memory traces in classical memory experiments. Whether the visual preplay effect is similar to the pattern completion in memory reinstatement, and whether the memory replay effect might be guided by visual preplay is currently unknown.
The proposed project will provide a better understanding of the nature of the visual preplay effect and its relation to memory. It will investigate the neural oscillations induced by the visual preplay effect together with its temporal unfolding, providing insight into information processing and communication between brain areas. It will also examine a possible link between this visual effect and memory by embedding the preplay experiment into a memory paradigm. The combination of magnetoencephalography (MEG) and fMRI methods together with state-of-the-art signal processing and machine learning will enable a comprehensive investigation of this effect at the boundary between vision and memory, thereby advancing our understanding of both the visual and memory system and, in particular, their interplay.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- engineering and technology medical engineering diagnostic imaging magnetic resonance imaging
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences computer and information sciences data science data processing
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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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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 - Marie Skłodowska-Curie Individual Fellowships (IF)
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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-2019
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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.