Objective
Knowing how to get to a food source, approximate towards conspecifics or avoid a predator, are orientation behaviours with remarkable consequence for the success of an individual and the fitness of the species. They all depend on the brain’s ability to process sensory stimuli and integrate this with ongoing behaviour to generate spatial information that guides actions. Although much is known about how sensory neurons process incoming stimuli, or how motor neurons generate movements, it remains unclear how other neurons in our brains represent more integrative processes that lead to the transformation of sensation into action.
For visual animals, visually guided locomotion is an ethologically relevant behaviour that is easy to reproduce in a laboratory environment, and depends on the integration of visual motion signals with ongoing locomotion. Through the identification of interconnected neurons, and analysis of their activity patterns in simultaneous with quantitative measurements of visually guided locomotion, we aim to determine the functional organization of visuomotor circuits essential to orientation behaviours. In particular, we would like to understand how self-generated motion vision provides information to guide the animal’s orientation behaviours.
To transcend the experimental limitations found in mammalian model systems, such as the numerical complexity of their brains, or the more limited resources available to systematically identify and perturb neurons of a circuit, we employ the fruitfly, Drosophila melanogaster, as our model organism. Her rich repertoire of visually guided behaviours combined with her unparalleled arsenal of genetic tools, and with head-fixed physiology in behaving animals, provide an ideal platform for a multilevel research program to study the neural bases of orientation behaviours while establishing conserved principles of sensory-motor processing.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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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.
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.
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.
FP7-PEOPLE-2013-CIG
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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.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
1400-038 LISBOA
Portugal
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.