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ZEbrafish Neuroscience Interdisciplinary Training Hub

Project description

A tiny minnow draws a crowd

Scientists are always in search of model systems that can help them study in the simplest, fastest and most effective ways disease pathways that affect humans. A tiny fish in the minnow family has proven extremely valuable in this regard. The zebrafish shares 70 % of the genes found in humans and many critical signalling pathways. The eggs are fertilised externally, facilitating developmental interventions and studies, and the resulting embryos are transparent, meaning development can be watched under a microscope. The EU-funded ZENITH project is preparing a new generation of scientists for interdisciplinary collaboration on pressing neuroscience challenges utilising the zebrafish model system and leveraging academic and industrial mentoring. The team will emerge with skills in visualisation, gene editing and computational modelling to study the nervous system and enhance understanding from cells to circuits to behaviour.

Objective

A fundamental challenge for Neuroscience is to understand how neural circuits process information from the outside world and internal physiological states, to produce versatile but reliable behavior. Two major research challenges are: 1) the complexity and distributed nature of neural circuits; 2) the need for data spanning multiple scales from molecular and activity phenotypes of single cells through to circuit connectivity and population dynamics and finally the behavioral output itself. The goal of the ZENITH ETN, “ZEbrafish Neuroscience Interdisciplinary Training Hub”, is to understand how neural networks mediate perception and behavior. We will exploit the advantages of zebrafish as a small transparent vertebrate with superb genetic accessibility and use cutting-edge technology to elucidate the interactions between molecules, cells and entire networks that ultimately generate adaptive behavior. Our training goal is to create collaborative, interdisciplinary young scientists who can tackle major challenges within neuroscience research. Training in cutting-edge technologies and analytical frameworks will enable this next generation of researchers to perform integrated, multi-scale analyses to elucidate the neural basis of naturalistic behavior. Training is centered on highly collaborative projects between physicists, mathematicians and biologists that will expose ESRs to broad training with academic and industrial partners. Advanced optical methods and genome-editing will be utilized to link molecules to circuits, to map connectivity between cell types across the nervous system and to build computational models of brain activity that will be experimentally tested. Overall ZENITH will help to change the way young scientists are trained in Europe and provide the conceptual, technical and analytical skills needed to take on the challenge of understanding how the beautifully complex circuits of the vertebrate brain control behavior.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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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.

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

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Call for proposal

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(opens in new window) H2020-MSCA-ITN-2018

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Coordinator

INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE
Net EU contribution

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.

€ 549 604,08
Address
BOULEVARD DE L'HOPITAL 47
75013 Paris
France

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
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Total cost

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.

€ 549 604,08

Participants (9)

Partners (11)

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