Objective
Perceptual learning is fundamental to human cognition. It can be defined as an enhancement in the ability to distinguish
between similar stimuli (that otherwise would be very hard to tell apart) as a consequence of experience with them, or with
stimuli similar to the target stimuli. This allows the wine connoisseur to distinguish between different wines, the bird
watcher to tell one warbler from another, and people to identify that face as a given person rather than someone else, if the
face is taken from an ethnic grouping that they are familiar with. My research focuses on the mechanisms responsible for
perceptual learning. By using a range of neuroscience techniques (tDCS, fMRI, TMS/MEP, EEG/ERP) in conjunction with
the behavioural designs provided by experimental psychology I will investigate the neural basis for perceptual learning, test a
computational model of the phenomenon, and try to control the development and expression of this perceptual skill. This
programme of research will train me in new techniques, further develop my expertise in the domain of perceptual learning,
and allow me to work in one of the leading laboratories for this type of research at the present time. It will also allow me to
raise my and my discipline's profile, and to do this, as part of this research proposal, I will convene an International
Workshop on Perceptual Learning to bring together the various researchers working on this issue and publish the
proceedings as an edited book.
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 biological sciences neurobiology
- natural sciences computer and information sciences artificial intelligence computer vision facial recognition
- social sciences sociology social issues social inequalities
- social sciences psychology
- natural sciences computer and information sciences artificial intelligence machine learning
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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-2016
See all projects funded under this callCoordinator
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.
EX4 4QJ Exeter
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.