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BrainInformationFlow SIGNED

Principles underlying information flow across the entire brain of the zebrafish

Total Cost €


EC-Contrib. €






 BrainInformationFlow project word cloud

Explore the words cloud of the BrainInformationFlow project. It provides you a very rough idea of what is the project "BrainInformationFlow" about.

rett    principles    shed    animal    organization    optogenetics    anomalies    how    graph    doors    parkinson    donald    underlying    cooperate    monitoring    surrogate    form    paramount    genetics    larva    experimental    neurons    brain    hebb    syndrome    structures    cutting    circuit    model    description    neurological    techniques    human    robustness    envision    mutual    network    microscopy    question    generate    basic    behaviours    structure    resolution    intact    neuron    larger    dynamics    became    optical    intend    entire    existence    interruption    functions    flows    connectivity    neuronal    assemblies    edge    impossible    zebrafish    vertebrate    processed    multidisciplinary    models    compensations    neurosciences    elusive    sheet    sequences    combination    disorders    diseases    single    cognitive    individual    advantage    mathematical    experiments    statistical    bottlenecks    treatments    light    flow    theory    motor    autism    functional    communicate    behaving    physiological   

Project "BrainInformationFlow" data sheet

The following table provides information about the project.


Organization address
address: 45, RUE D'ULM
city: PARIS CEDEX 05
postcode: 75230

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 196˙707 €
 EC max contribution 196˙707 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2021-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ECOLE NORMALE SUPERIEURE FR (PARIS CEDEX 05) coordinator 196˙707.00


 Project objective

How information is processed and flows through the brain to generate motor behaviours and cognitive functions is a paramount question in neurosciences. Donald Hebb proposed that individual neurons cooperate to form larger functional structures (neuronal assemblies) that communicate between them through phase sequences. Recent experiments support the existence of assemblies but how does the information flow between these neuronal assemblies, across the entire brain, remains elusive. I propose to use the zebrafish larva as the experimental model that in combination with optogenetics and light-sheet microscopy, enables monitoring whole-brain dynamics, with single-neuron resolution in an intact behaving vertebrate. Taking advantage of a multidisciplinary approach involving cutting-edge optical techniques, genetics, optogenetics, and mathematical methods from graph theory and statistical mutual information, I intend to shed light on basic principles underlying the flow of information across the entire brain. Specifically, I will study the following aims: * Description of the connectivity structure and organization across the whole brain. * Testing the existence of bottlenecks and surrogate connectivity between neuronal assemblies. * Network connectivity robustness: circuit and physiological compensations following flow of information interruption. In recent years, zebrafish became an important model for human diseases (e.g. Parkinson's, Rett's syndrome, or autism). Thus, my findings may contribute to the understanding of information flow anomalies associated with neurological disorders, and therefore open new doors for the design of novel treatments, still impossible to envision using more complex animal models.

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The information about "BRAININFORMATIONFLOW" are provided by the European Opendata Portal: CORDIS opendata.

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