Objective
A major goal of Systems Biology is to understand the design principles underlying Biological Networks. Of particular interest are the computational roles of network motifs - circuits that appear in the network multiple times, significantly more than randomly expected. But why would such circuits evolve over and over again in the network?
While extensively studied in transcriptional networks, the emergence of network motifs in neural networks is poorly understood. Here we propose to focus on one of the most abundant motifs - the Feed-Forward Loop (FFL) – and study its functional roles in neural networks. To do this, we will use C. elegans worms as the animal model system. With a compact neural network (302 neurons) and a fully-mapped wiring diagram, C. elegans offers a unique opportunity of studying functional dynamics in neural networks in an unprecedented single neuron resolution and in freely-behaving animals. We will use state-of-the-art optogenetic tools together with cutting-edge microfluidic devices to activate/inhibit and measure activity of individual neurons. This experimental system will be combined with modeling and theoretical approaches to decipher the computational roles of FFLs in neural circuits. Moreover, we will study functional dynamics of various FFLs in freely-behaving animals to decipher how circuitry computation eventually dictates behavioral outputs.
Throughout the proposed project, we will use a combination of cutting-edge experimental techniques coupled with extensive computational analyses, modeling and theory. The aims of this interdisciplinary project together with the system-level approaches put it in the front line of research in the Systems Biology field.
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 computational intelligence
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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
91904 JERUSALEM
Israel
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.