Objective
The brain accumulates knowledge by experience-driven modifications of neuronal connectivity and creates models of the world that enable intelligent behavior. It is thought that these processes are based on autoassociative mechanisms of circuit plasticity. However, direct tests of these fundamental concepts are difficult because they require dense reconstructions of neuronal wiring diagrams. We will dissect structural and functional mechanisms of autoassociative memory in telencephalic area Dp of adult zebrafish, the homologue of olfactory cortex. The small size of the zebrafish brain provides essential advantages for exhaustive measurements of neuronal activity and connectivity patterns. Key predictions of theoretical models will be examined by analyzing effects of odor discrimination learning on the dynamics and stability of odor representations in Dp. The underlying structural circuit modifications will be examined in the same brains by circuit reconstruction using serial block face scanning electron microscopy (SBEM). The dense reconstruction of neuronal ensembles responding to learned and novel odors will allow for advanced analyses of structure-function relationships that have not been possible so far. Odor stimulation in a virtual environment will be combined with optogenetic activation or silencing of neuromodulatory inputs to write and disrupt specific olfactory memories and to analyze the effects on behavior and connectivity. The underlying cellular mechanisms of synaptic plasticity and metaplasticity will be examined by electrophysiology, imaging and optogenetic approaches. Mutants will be used to assess effects of disease-related mutations on circuit structure, function and plasticity. These mechanistic analyses are guided by theoretical models, expected to generate direct insights into elementary computations underlying higher brain functions, and likely to uncover causal links between circuit connectivity, circuit function and 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: 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
- natural sciences physical sciences optics microscopy electron microscopy
- social sciences sociology social issues social inequalities
- natural sciences biological sciences genetics mutation
- natural sciences computer and information sciences data science data processing
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
ERC-ADG - Advanced Grant
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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) ERC-2016-ADG
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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.
4056 BASEL
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.