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NeuSoSen SIGNED

Neural Computations Underlying Social Behavior in Complex Sensory Environments

Total Cost €

0

EC-Contrib. €

0

Partnership

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 NeuSoSen project word cloud

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

aggression    unprecedented    courtship    combining    switch    nervous    environments    sex    learning    experimental    uncover    sophisticated    difficult    modal    disciplinary    interactions    structure    context    genetic    model    brain    fruitful    imaging    groups    calcium    quantify    neural    optogenetics    strategies    ultimately    machine    naturalistic    social    consequently    adapt    stable    behavioral    mechanisms    integrates    constitute    technically    recognition    environment    individual    fine    computations    members    animals    incompletely    understand    give    group    computational    modeling    hard    unstable    signals    mate    rely    acoustic    chemical    tools    closed    models    socially    interact    crowded    contexts    cues    drosophila    sensory    processed    principles    conflicting    fruit    drive    behavior    rotten    feed    animal    reveal    underlying    behaviors    selects    combines    drives    engage    dominate    behaving    loop    arise    provides    resolved   

Project "NeuSoSen" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAETSMEDIZIN GOETTINGEN - GEORG-AUGUST-UNIVERSITAET GOETTINGEN - STIFTUNG OEFFENTLICHEN RECHTS 

Organization address
address: Robert-Koch-Strasse 40
city: GOETTINGEN
postcode: 37075
website: n.a.

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 Germany [DE]
 Total cost 1˙476˙920 €
 EC max contribution 1˙476˙920 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2020
 Duration (year-month-day) from 2020-02-01   to  2025-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAETSMEDIZIN GOETTINGEN - GEORG-AUGUST-UNIVERSITAET GOETTINGEN - STIFTUNG OEFFENTLICHEN RECHTS DE (GOETTINGEN) coordinator 1˙476˙920.00

Map

 Project objective

Animals often interact in groups. Animal groups constitute complex sensory environments which challenge the brain and engage complex neural computations. This behavioral context is therefore fruitful for understanding how sophisticated neural computations give rise to behavior. However, it is also technically difficult since many of the relevant sensory cues arise from the members of the group and are therefore hard to quantify or control. Consequently, we only incompletely understand how the brain drives complex social behaviors in naturalistic contexts. To uncover the neural computations underlying social behavior in groups, we are using Drosophila, which provides unprecedented experimental access to the nervous system via genetic tools. Drosophila gathers on rotten fruit to feed and mate. Courtship and aggression dominate social interactions and rely on the recognition of sex-specific chemical cues and the production of context-specific acoustic signals. How are these multi-modal cues integrated to control and switch between courtship and aggression? How is unstable and conflicting sensory information resolved to promote stable behavioral strategies? How does sensory processing adapt to socially crowded environments in order to efficiently target behavior at individual members of the group? These issues will be addressed by combining computational modeling and genetic tools. Using machine learning, we will quantify and model the fine structure of social interactions to identify the social cues that drive behavior. Closed-loop optogenetics and calcium imaging in behaving animals will allow us to test the models and to ultimately reveal how the brain integrates, selects and combines social cues to drive social interactions. This multi-disciplinary approach will uncover the computational principles and mechanisms by which sensory information is processed to drive behavior in the complex sensory environment of animal groups.

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

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