Objective
The brain is limited in information-processing capacity, and must selectively prioritise neural representations of the external stimuli that are most relevant for one’s current goals, i.e. apply attention to the stimulus (visual-selection). Predictions about likely future sensory inputs help determine which stimuli are prioritised. Although we know that frontal and sensory cortices comprise key parts of a system that represents prioritised visual information, we are only just beginning to understand how predictions influence the activity of this system, or which neural substrates encode such predictions. The striatum is an excellent candidate neural substrate to underpin the influence of predictions on visual representations, even though its role in visual-selection has barely been considered. The core aim of this proposal is to investigate the scope of striatal contributions to the function and dynamics of the brain networks that underpin visual-selection. Neuroimaging (MRI, DTI), neuromagnetic (MEG), and deep-brain-stimulation (DBS) approaches will be convergently applied to i) provide a high-resolution functional map of the striatum when predictive contexts are available to guide visual-selection performance, ii) provide a rich spatial and temporal characterisation of striatal influence on the brain networks underpinning visual-selection, and iii) go beyond the limitations of correlative measures by identifying the causal influence of the striatum when predictions influence visual-selection. The gained precise understanding of how the brain instantiates this influence will not only advance our theoretical understanding of the nature of sensory experience, but also carries the potential to shed insights into the cognitive difficulties faced by patients with striatal dysfunction such as in Parkinson’s disease, ADHD, and schizophrenia, thereby paving foundations for new interventions.
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.
- social sciences media and communications graphic design
- medical and health sciences basic medicine neurology parkinson
- medical and health sciences clinical medicine psychiatry schizophrenia
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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 - 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-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.
B15 2TT Birmingham
United Kingdom
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.