Objective
Humans are constantly required by their species-typical environment to learn new faces for social interactions. One of unanswered issues in face learning is the role of active perception. Research to date has mainly relied on methods where observers are relatively passive viewers of face stimuli.
This bears rather limited resemblance to face perception in the natural environment. Perception of a real face is an interactive process in the sense that the relative motion of the face and its observer determines the resulting viewpoint of the face. The observer may from time to time actively engage in this interaction to deliberately register certain desired facial features.
A recent study by Liuetal. (submitted) has shown that such exploratory behaviour can help to achieve more robust memory of faces. The principal objective of this project is to examine the neural substrates of this behavioural advantage.
The aim is to test the hypothesis that the dorsal stream of the human brain is more strongly involved in a n active condition where observers are allowed to explore the views of a face with a joystick than a passive condition where observers simply watch a replay of the same sequence of face stimuli generated by the active observers. Unlike the ventral stream, the role of the dorsal stream in face perception is not well known.
We will use event-related brain potentials (ERPs) and functional magnetic resonance imaging (fMRI) to record neural activities of the dorsal stream during face learning. We predict that relative to the passive condition, the active condition will elicit stronger responses in regions associated with the dorsal stream.
We will employ both recognition memory and face matching tasks to distinguish the role of active exploration involved in memory and perceptual identification of faces. Apart from face stimuli, we will also use object (chair) stimuli to determine whether the neural substrates involved in active exploration are face specific.
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 artificial intelligence computer vision facial recognition
- engineering and technology medical engineering diagnostic imaging magnetic resonance imaging
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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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.
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.
FP6-2005-MOBILITY-7
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Funding Scheme
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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.
IIF - Marie Curie actions-Incoming International Fellowships
Coordinator
HULL
United Kingdom
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