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STATLEARN SIGNED

The reading brain as a statistical learning machine

Total Cost €

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EC-Contrib. €

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Partnership

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 STATLEARN project word cloud

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

tracking    free    patterns    signs    tests    faces    underlies    transitional    performance    infants    oriented    positional    adults    constraints    efficient    written    array    letter    understand    word    objects    statistical    ness    fourth    eye    identification    units    human    primates    contextual    theories    probabilities    newly    despite    statlearn    perceptual    erp    representations    largely    adult    progressively    structure    brings    orthographic    literate    frequency    visual    drive    behavioural    error    meg    hypothesis    data    co    tools    diversity    astonishingly    reading    amount    mechanisms    involve    nonhuman    extremely    impressive    cognitive    fundamental    experiments    vary    artificial    issue    encountered    internal    smaller    morphemes    contrasts    read    packages    letters    learning    larger    readers    kindness    languages    chunk    advantage    endowment    recurrent    mechanism    lines    building    nearly    genetic    language    fmri    psycholinguistic    seek    happens    unknown    unfolds    basis    flawlessly   

Project "STATLEARN" data sheet

The following table provides information about the project.

Coordinator
SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE 

Organization address
address: VIA BONOMEA 265
city: TRIESTE
postcode: 34136
website: www.sissa.it

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 Italy [IT]
 Project website https://lrlac.sissa.it/projects/statistical-learning-and-reading
 Total cost 1˙498˙210 €
 EC max contribution 1˙498˙210 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-STG
 Funding Scheme ERC-STG
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE IT (TRIESTE) coordinator 1˙498˙210.00

Map

 Project objective

Despite written language is not part of our genetic endowment, literate adults process an impressive amount of information as they read, and do that extremely flawlessly and nearly error-free. How this happens is largely unknown, and represents a fundamental issue for theories of human learning. Building on data from nonhuman primates, human infants and psycholinguistic experiments on word internal structure, STATLEARN tests the hypothesis that one fundamental cognitive mechanism underlies visual word identification, i.e., statistical learning. Human infants learn to chunk smaller perceptual units (e.g., oriented lines) into larger, meaningful objects (e.g., tools, faces), taking advantage of recurrent patterns in their distribution. As developing readers, they would apply this very same mechanisms to a newly–encountered type of visual objects, i.e., letters. On this basis, they would build progressively higher–order orthographic units, which eventually make their visual word identification as adult readers astonishingly efficient. The project is composed of four work packages. One aims at identifying which principle(s) drive(s) statistical learning, and contrasts overall frequency, contextual diversity, and letter transitional probabilities. Because these factors co-vary in real languages, a second work package will involve adult readers in learning artificial languages, where we will build in any statistical properties we might need to test. A third package will seek signs of statistical learning directly into the performance of developing readers. A fourth package will assess positional constraints in the identification of morphemes (e.g., kind and ness in kindness). These work packages include behavioural, eye tracking, ERP, MEG and fMRI work. Bringing together evidence from such a wide array of approaches will allow to understand how statistical learning unfolds, and what kind of representations it brings into the human reading system.

 Publications

year authors and title journal last update
List of publications.
2019 Maria Ktori, Mara De Rosa, Hector Yamil Vidal Dos Santos, Davide Crepaldi
Morpheme-specific neural representations in skilled adult readers: Evidence from fast periodic visual stimulation
published pages: , ISSN: , DOI:
2019-11-07
2019 Katarina Marjanovič, Davide Crepaldi
Morphological priming of inflectional suffixes
published pages: , ISSN: , DOI:
2019-11-07
2019 Jaroslaw Lelonkiewicz, Davide Crepaldi
Discovering the Lexicon\'s Statistical Structure in Reading
published pages: , ISSN: , DOI:
2019-11-07
2018 Hector Yamil Vidal Dos Santos, Davide Crepaldi
From Letters to Words, Through Bigrams
published pages: , ISSN: , DOI:
2019-11-07
2018 Pescuma V.N., Ktori M., Cevoli B., Lomi E., Franzon F. & Crepaldi D.
An eye-tracking database of natural reading in Italian children
published pages: , ISSN: , DOI:
2019-06-19
2018 De Rosa M. & Crepaldi D.
Morpho-orthographic analysis does not depend on affix frequency
published pages: , ISSN: , DOI:
2019-06-19
2017 Crepaldi D., Pescuma V., Ktori M., Cevoli B., Franzon F. and Lomi E.
Statistical Learning and Learning to Read
published pages: , ISSN: , DOI:
2019-06-19
2017 Pescuma V., Ktori M., Cevoli B., Lomi E., Franzon F. & Crepaldi D.
An eye-tracking investigation of natural reading in children
published pages: , ISSN: , DOI:
2019-06-19
2017 http://v.calameo.com/?bkcode=003272336398fb9b8fabb&mode=full
Una scuola ai vertici europei
published pages: 81, ISSN: , DOI:
PLATINUM - Le chiavi per lo sviluppo (ricerca&innovazione) July 2017 2019-06-19
2017 Pescuma V., Ktori M., Cevoli B., Lomi E., Franzon F. & Crepaldi D.
Statistical Learning and Visual Word Identification: An eye-tracking investigation of natural reading in children
published pages: , ISSN: , DOI:
2019-06-19

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

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