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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.

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

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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