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ECOLANG SIGNED

Ecological Language: A multimodal approach to language and the brain

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 ECOLANG project word cloud

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

mechanistic    niche    circuitry    behavioural    syntactic    computational    combining    gestures    dynamically    basis    linguistic    automatic    learning    environments    speech    refined    discourse    communication    learned    models    data    mapping    learnt    network    stimuli    patients    everyday    avatar    symptom    reductionist    collect    multimodal    comprehension    probabilistic    cognitive    stroke    dynamic    annotation    compromised    human    mostly    processed    ecological    informativeness    neuroscientific    crowdsourcing    rigour    cue    neural    healthy    annotate    fmri    multiple    hands    contexts    analysed    populations    lexical    converging    pioneer    prosody    experimental    language    eeg    derive    representative    naturalistic    aphasic    cues    brain    rehabilitation    manual    tested    exclusively    experiments    environment    adults    signal    combination    quantitative    corpus    functions    innovative    lesion    almost    accounts    conversation    technologies    ecolang    children    world   

Project "ECOLANG" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
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 United Kingdom [UK]
 Project website http://www.language-cognition-lab.org/research/ecological-language/
 Total cost 2˙243˙584 €
 EC max contribution 2˙243˙584 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-ADG
 Funding Scheme ERC-ADG
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 2˙221˙020.00
2    UNIVERSITY OF BRIGHTON UK (BRIGHTON) participant 12˙414.00
3    UNIVERSITAET ZU KOELN DE (KOELN) participant 10˙149.00

Map

 Project objective

The human brain has evolved the ability to support communication in complex and dynamic environments. In such environments, language is learned, and mostly used in face-to-face contexts in which processing and learning is based on multiple cues: linguistic (such as lexical, syntactic), but also discourse, prosody, face and hands (gestures). Yet, our understanding of how language is learnt and processed, and its associated neural circuitry, comes almost exclusively from reductionist approaches in which the multimodal signal is reduced to speech or text. ECOLANG will pioneer a new way to study language comprehension and learning using a real-world approach in which language is analysed in its rich face-to-face multimodal environment (i.e., language’s ecological niche). Experimental rigour is not compromised by the use of innovative technologies (combining automatic, manual and crowdsourcing methods for annotation; creating avatar stimuli for our experiments) and state-of-the-art modelling and data analysis (probabilistic modelling and network-based analyses). ECOLANG studies how the different cues available in face-to-face communication dynamically contribute to processing and learning in adults, children and aphasic patients in contexts representative of everyday conversation. We collect and annotate a corpus of naturalistic language which is then used to derive quantitative informativeness measures for each cue and their combination using computational models, tested and refined on the basis of behavioural and neuroscientific data. We use converging methodologies (behavioural, EEG, fMRI and lesion-symptom mapping) and we investigate different populations (3-4 years old children, healthy and aphasic adults) in order to develop mechanistic accounts of multimodal communication at the cognitive as well as neural level that can explain processing and learning (by both children and adults) and can have impact on the rehabilitation of language functions after stroke.

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

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