Objective
Decision-making is a crucial brain function which neuronal substrates are largely unknown. Deciphering those mechanisms is critical for the prevention and the treatment of brain diseases as decision-making is maladaptive in many neuropsychiatric disorders (obsessive behaviors, schizophrenia, autism, substance abuse); it would also significantly advance neuroeconomics and therefore positively impact society. AXO-MATH (MATHematical analysis of AXOnal projections) investigates the neuronal mechanisms involved in decision-making in behaving mice using interdisciplinary approaches and state-of-the-art methods. We hypothesize that a final step before the action is taken is implemented in the dorsal PFC as it is an anatomical hub receiving projections from both sensory areas and regions believed to participate in choice valuation, such as the ventral tegmental area and the basolateral nucleus of the amygdala. Using an original combination of advanced microscopy and genetic and viral tools, we will image the activity of those long-range axons in two conditions: while the expert animal is taking a choice, and during the stage of preference learning. Precise measures will allow us to test a model in which projections from the amygdala to the PFC encode choice values and can be dynamically modulated as a function of the context by the ventral tegmental area to switch preference. The characterization accuracy will be unprecedented thanks to the design of new analytical tools - the initial expertise of the applicant. We propose novel mathematical methods tailored to the automatic extraction of complex-shape and micrometer-scale features of synaptic activity in in vivo microscopy images; they lack human input and can handle large volumes of data. By a seamless combination of the host and applicant multidisciplinary expertise we will address the relationship between synaptic network dynamics and functional brain plasticity which is a major challenge in modern neuroscience.
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 mathematics pure mathematics mathematical analysis
- natural sciences physical sciences optics microscopy
- medical and health sciences health sciences substance abuse
- 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-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-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.
75794 PARIS
France
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.