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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.

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

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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