Explore the words cloud of the L2STAT project. It provides you a very rough idea of what is the project "L2STAT" about.
The following table provides information about the project.
Coordinator |
THE HEBREW UNIVERSITY OF JERUSALEM
Organization address contact info |
Coordinator Country | Israel [IL] |
Total cost | 2˙500˙000 € |
EC max contribution | 2˙500˙000 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2015-AdG |
Funding Scheme | ERC-ADG |
Starting year | 2016 |
Duration (year-month-day) | from 2016-07-01 to 2021-06-30 |
Take a look of project's partnership.
# | ||||
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1 | THE HEBREW UNIVERSITY OF JERUSALEM | IL (JERUSALEM) | coordinator | 1˙700˙000.00 |
2 | BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE | ES (SAN SEBASTIAN) | participant | 800˙000.00 |
The overarching goal of L2STAT is to understand L2 literacy acquisition by bringing together, for the first time, recent advances in the neurobiology of statistical learning (SL), a detailed statistical characterization of the world’s writing systems, and neurally-plausible general principles of learning, representation, and processing. L2STAT aims to provide a new theoretical framework that considers L2 learning and SL a two-way street: SL, on the one hand, tunes learners to the regularities of a new linguistic environment, and on the other hand, L2 environment shapes learners’ sensitivity to its specific types of statistical properties. The project will focus on the assimilation of reading skills in four novel linguistic environments, and investigate how exposure to their distinct writing systems shape, in turn, SL. L2STAT is an interdisciplinary project that launches in parallel five mutually informative research axes: 1) we employ advanced methods from computational linguistics and machine learning to precisely characterize the statistics of four highly contrasting writing systems (English, Spanish, Hebrew, Chinese). 2) We study the learning that results from biologically-inspired computational models that are exposed to these statistics, to generate a priori predictions regarding what statistical properties can (or cannot) be learned, and how neural mechanisms constrain the representations learned during L2 literacy acquisition. 3) We develop psychometrically reliable behavioral tests of individuals’ capacities to extract regularities in the visual and auditory modalities. 4) We use state of the art neuroimaging techniques including EEG, MEG, fMRI to probe the neurobiological underpinning for detecting regularities in the visual and auditory modalities. 5) We conduct behavioral experimentation in four sites (Israel, Spain, Taiwan to track literacy acquisition longitudinally in the four different languages.
year | authors and title | journal | last update |
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2018 |
Noam Siegelman, Louisa Bogaerts, Amit Elazar, Joanne Arciuli, Ram Frost Linguistic entrenchment: Prior knowledge impacts statistical learning performance published pages: 198-213, ISSN: 0010-0277, DOI: 10.1016/j.cognition.2018.04.011 |
Cognition 177 | 2019-10-09 |
2019 |
Henry Brice, William Einar Mencl, Stephen J. Frost, Atira Sara Bick, Jay G. Rueckl, Kenneth R. Pugh, Ram Frost Neurobiological signatures of L2 proficiency: Evidence from a bi-directional cross-linguistic study published pages: 7-16, ISSN: 0911-6044, DOI: 10.1016/j.jneuroling.2018.02.004 |
Journal of Neurolinguistics 50 | 2019-08-30 |
2016 |
Noam Siegelman, Louisa Bogaerts, Morten H. Christiansen, Ram Frost Towards a theory of individual differences in statistical learning published pages: 20160059, ISSN: 0962-8436, DOI: 10.1098/rstb.2016.0059 |
Philosophical Transactions of the Royal Society B: Biological Sciences 372/1711 | 2019-06-14 |
2017 |
Martijn Baart, Blair C. Armstrong, Clara D. Martin, Ram Frost, Manuel Carreiras Cross-modal noise compensation in audiovisual words published pages: 42055, ISSN: 2045-2322, DOI: 10.1038/srep42055 |
Scientific Reports 7 | 2019-06-14 |
2016 |
Blair C. Armstrong, Ram Frost, Morten H. Christiansen The long road of statistical learning research: past, present and future published pages: 20160047, ISSN: 0962-8436, DOI: 10.1098/rstb.2016.0047 |
Philosophical Transactions of the Royal Society B: Biological Sciences 372/1711 | 2019-06-14 |
2017 |
Noam Siegelman, Louisa Bogaerts, Ofer Kronenfeld, Ram Frost Redefining “Learning†in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities? published pages: , ISSN: 0364-0213, DOI: 10.1111/cogs.12556 |
Cognitive Science | 2019-06-14 |
2018 |
Louisa Bogaerts, Noam Siegelman, Tali Ben-Porat, Ram Frost Is the Hebb repetition task a reliable measure of individual differences in sequence learning? published pages: 17470218.2017.1, ISSN: 1747-0218, DOI: 10.1080/17470218.2017.1307432 |
Quarterly Journal of Experimental Psychology | 2019-06-14 |
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The information about "L2STAT" are provided by the European Opendata Portal: CORDIS opendata.