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LANGDYN SIGNED

Language dynamics: a neurocognitive approach to incremental interpretation

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

LANGDYN project word cloud

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

neuroimaging effortless probe timescales interpretation phonetics statistics intermediate unfolds transform linguistic multivariate cortices combined temporal spatio accuracy dimensions sentences bilateral time parallel representation electrophysiological dynamic transition imaging computations combine instantiated anaphora intended neurobiological capture relationship speaker language fronto brain meg nature similarity computational fmri phonetic neural quantifiable representational elicited percept techniques words remarkable speed phonology perceptual types parietal acoustic linked structure evolution achieved computation eeg representations models millisecond rsa occurs understanding linguistics argument depends patterns corpora input incremental utterance auditory sound

Project "LANGDYN" data sheet

The following table provides information about the project.

Coordinator	THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE Organization address address: TRINITY LANE THE OLD SCHOOLS city: CAMBRIDGE postcode: CB2 1TN website: www.cam.ac.uk 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://cslb.psychol.cam.ac.uk/
Total cost	2˙185˙856 €
EC max contribution	2˙185˙856 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2014-ADG
Funding Scheme	ERC-ADG
Starting year	2015
Duration (year-month-day)	from 2015-10-01 to 2021-09-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE Organization address address: TRINITY LANE THE OLD SCHOOLS city: CAMBRIDGE postcode: CB2 1TN website: www.cam.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (CAMBRIDGE)	coordinator	2˙185˙856.00

Map

Project objective

Understanding spoken language involves a complex set of processes that transform the auditory input into a meaningful interpretation. Our percept is not of acoustic-phonetic detail but of the speaker’s intended meaning. This effortless transition occurs on millisecond timescales, with remarkable speed and accuracy, and without any awareness of the complex computations on which it depends. How is this achieved? What are the processes and representations that support the transition from sound to meaning, and what are the neurobiological systems in which they are instantiated? In this proposal, we combine advanced techniques from neuroimaging, multivariate statistics and computational linguistics to probe directly the dynamic patterns of neural activity, over bilateral fronto-temporal and parietal cortices, that are elicited by spoken words and sentences. Combined MEG EEG imaging, linked to parallel fMRI studies, capture the real-time electrophysiological activity of the brain. Representational Similarity Analysis (RSA) and related multivariate techniques make it possible to probe the different types of neural computation that support these dynamic processes of incremental interpretation. Computational linguistic analyses of language corpora allow us to build quantifiable models of different dimensions of language interpretation – from phonetics and phonology to argument structure and anaphora - and to test for their presence, using RSA, as the utterance unfolds in real time. By this means we aim to determine directly the nature of the intermediate processes involved in the transition from early perceptual processing through different representational states to the development of a meaningful representation of an utterance, the dynamic spatio-temporal relationship between these processes, and their evolution over time.

Publications

List of publications.
year	authors and title	journal	last update
2018	Devereux, B.J., Clarke, A.D., Tyler, L.K. Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway published pages: , ISSN: , DOI: 10.1101/302406	BioRxiv	2020-01-15
2018	Devereux, Barry; Clarke, Alex; Tyler, Lorraine Oscillatory dynamics of perceptual to conceptual transformations in the ventral visual pathway published pages: , ISSN: , DOI: 10.1101/259127	BioRxiv 1	2020-01-15
2018	Anastasia Klimovich-Gray, Lorraine K. Tyler, Billi Randall, Ece Kocagoncu, Barry Devereux, William D. Marslen-Wilson Balancing prediction and sensory input in speech comprehension: The spatiotemporal dynamics of word-recognition in context published pages: 3573-17, ISSN: 0270-6474, DOI: 10.1523/jneurosci.3573-17.2018	The Journal of Neuroscience	2020-01-15

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