Objective
The mesocorticolimbic (MCL) system, extending from the ventral tegmental area (VTA) to the nucleus accumbens and prefrontal cortex, comprises a dopamine (DA) projection implicated in reinforcement learning. The MCL system is the target of addictive substances and of drug-evoked synaptic plasticity, a cellular mechanism that may underlie the adaptive, pathological behaviors that occur after repeated drug exposure. While most previous work has focused on excitatory transmission, recent studies suggest that inhibitory transmission may play a crucial role in mediating specific functions of the MCL system. However the identity of the inhibitory synapses and circuits and the plasticity mechanisms underlying these forms of normal and pathological learning remain elusive.
We hypothesize that distinct inhibitory circuits in the MCL system mediate specific behaviors and that adaptive synaptic plasticity of these circuits are fundamental to both normal reward learning and addictive behaviors.
We will test this hypothesis using optogenetic projection targeting to characterize specific inhibitory projections, to selectively change the activity of these neurons in freely behaving animals to explore their behavioral relevance, and to identify precise circuit changes that underlie behavioral alterations after drug exposure. Taken together, the experiments we propose will not only identify the specific circuits and basic role of inhibition in mediating reward-related behaviors, but will allow us to understand how the alteration of these circuits after drugs can result in pathological behavior. Ultimately, our results will establish the importance of inhibitory synaptic transmission in the MCL system, are likely to fundamentally change current views of this important modulatory system, and will allow us to design strategies to interfere with drug-evoked synaptic plasticity to revert addictive behavior.
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.
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement 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.
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.
ERC-2012-ADG_20120314
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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.
Host institution
1211 Geneve
Switzerland
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.