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BrainInformationFlow SIGNED

Principles underlying information flow across the entire brain of the zebrafish

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 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.

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

Project "BrainInformationFlow" data sheet

The following table provides information about the project.

Coordinator
ECOLE NORMALE SUPERIEURE 

Organization address
address: 45, RUE D'ULM
city: PARIS CEDEX 05
postcode: 75230
website: http://www.ens.fr

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

 Partnership

Take a look of project's partnership.

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

Map

 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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