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Neural Computations Underlying Social Behavior in Complex Sensory Environments

Total Cost €


EC-Contrib. €






 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.

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

Project "NeuSoSen" data sheet

The following table provides information about the project.


Organization address
address: Robert-Koch-Strasse 40
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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 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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