Opendata, web and dolomites

NeuroSyntax SIGNED

The cerebral representation of sequences and roles : investigating the origins of human uniqueness.

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 NeuroSyntax project word cloud

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

evolution    complexity    encephalography    syntax    adult    meg    mri    infants    differences    demands    localization    paradigms    learning    sharp    macaque    predictive    fmri    search    language    children    nested    predicts    remarkable    tested    representations    extrapolation    electro    ontogeny    what    subjects    pointing    behavioral    visual    items    expansion    eeg    that    sequences    grasp    light    human    neural    magneto    rules    models    inferior    perform    machine    codes    kolmogorov    tracking    auditory    clarify    time    abstraction    mechanisms    linguistic    materials    humans    manifested    involve    anticipate    eye    ecog    coding    memorize    probe    uses    incoming    compresses    capacities    rule    representation    functional    record    memory    techniques    mathematical    formulate    capacity    origins    mathematics    correspondences    primates    corticography    hierarchy    identical    phylogeny    place    principles    structures    frontal    monkeys    gyrus    encodes    inputs    adults    brain    course    hypothesis    circuits    shed    acquired    tensor    abstract   

Project "NeuroSyntax" data sheet

The following table provides information about the project.

Coordinator
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES 

Organization address
address: RUE LEBLANC 25
city: PARIS 15
postcode: 75015
website: www.cea.fr

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 France [FR]
 Total cost 2˙499˙746 €
 EC max contribution 2˙499˙746 € (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 2016-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) coordinator 2˙499˙746.00

Map

 Project objective

What are the origins of humans’ remarkable capacities to grasp, memorize, and produce complex sequences and rules, as manifested in language and mathematics? During its evolution, the human brain may have acquired a capacity to represent nested rules, based in part on the expansion of circuits involving the inferior frontal gyrus. This hypothesis will be tested using behavioral measures, functional MRI, magneto-encephalography (MEG), electro-corticography (ECOG) and machine learning techniques in human and non-human primates tested in identical paradigms. (1) We will design a hierarchy of non-linguistic visual and auditory sequences that place increasing demands on abstract rule coding.(2) Behavioral studies of pointing time and eye tracking will investigate the memory for such sequences in human adults, children, and macaque monkeys, and their extrapolation to future items. (3) Functional MRI, MEG, and ECOG will probe the localization, time course, and neural coding of such non-linguistic sequences in human adults. (4) In the same subjects, we will investigate the representation of linguistic and mathematical structures and determine if they involve the same areas and coding principles. (5) We will also record fMRI and ECOG responses to this hierarchy of non-linguistic sequences in macaque monkeys, in search of both correspondences and sharp differences with humans. (6) The same non-linguistic materials will be used in fMRI and EEG studies of human children and infants. Our hypothesis predicts that human children may perform better than adult monkeys. (7) We will formulate and test mathematical models that propose that the human brain “compresses” incoming sequences using nested rules (Kolmogorov complexity), uses predictive codes to anticipate on future inputs, and encodes syntax via tensor-product representations. The results will clarify the brain mechanisms of human language and abstraction abilities, and shed light on their ontogeny and phylogeny.

 Publications

year authors and title journal last update
List of publications.
2017 Matthew J. Nelson, Imen El Karoui, Kristof Giber, Xiaofang Yang, Laurent Cohen, Hilda Koopman, Sydney S. Cash, Lionel Naccache, John T. Hale, Christophe Pallier, Stanislas Dehaene
Neurophysiological dynamics of phrase-structure building during sentence processing
published pages: E3669-E3678, ISSN: 0027-8424, DOI: 10.1073/pnas.1701590114
Proceedings of the National Academy of Sciences 114/18 2019-06-13
2018 Antonio Moreno, Fanny Limousin, Stanislas Dehaene, Christophe Pallier
Brain correlates of constituent structure in sign language comprehension
published pages: 151-161, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.11.040
NeuroImage 167 2019-06-13
2018 Dror Dotan, Florent Meyniel, Stanislas Dehaene
On-line confidence monitoring during decision making
published pages: 112-121, ISSN: 0010-0277, DOI: 10.1016/j.cognition.2017.11.001
Cognition 171 2019-06-13
2017 Marie Amalric, Liping Wang, Pierre Pica, Santiago Figueira, Mariano Sigman, Stanislas Dehaene
The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
published pages: e1005273, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1005273
PLOS Computational Biology 13/1 2019-06-13
2016 Florent Meyniel, Maxime Maheu, Stanislas Dehaene
Human Inferences about Sequences: A Minimal Transition Probability Model
published pages: e1005260, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1005260
PLOS Computational Biology 12/12 2019-06-13
2017 Marie Amalric, Stanislas Dehaene
Cortical circuits for mathematical knowledge: evidence for a major subdivision within the brain\'s semantic networks
published pages: 20160515, ISSN: 0962-8436, DOI: 10.1098/rstb.2016.0515
Philosophical Transactions of the Royal Society B: Biological Sciences 373/1740 2019-06-13
2017 Nelson, M., Dehaene, S., Pallier, C., & Hale, J.
Entropy Reduction correlates with temporal lobe activity.
published pages: , ISSN: , DOI:
Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017) 2019-06-13
2018 Marie Amalric, Isabelle Denghien, Stanislas Dehaene
On the role of visual experience in mathematical development: Evidence from blind mathematicians
published pages: 314-323, ISSN: 1878-9293, DOI: 10.1016/j.dcn.2017.09.007
Developmental Cognitive Neuroscience 30 2019-06-07
2018 Xinjian Jiang, Tenghai Long, Weicong Cao, Junru Li, Stanislas Dehaene, Liping Wang
Production of Supra-regular Spatial Sequences by Macaque Monkeys
published pages: 1851-1859.e4, ISSN: 0960-9822, DOI: 10.1016/j.cub.2018.04.047
Current Biology 28/12 2019-06-06
2019 Marie Amalric, Stanislas Dehaene
A distinct cortical network for mathematical knowledge in the human brain
published pages: 19-31, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2019.01.001
NeuroImage 189 2019-06-06
2019 Liping Wang, Marie Amalric, Wen Fang, Xinjian Jiang, Christophe Pallier, Santiago Figueira, Mariano Sigman, Stanislas Dehaene
Representation of spatial sequences using nested rules in human prefrontal cortex
published pages: 245-255, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.10.061
NeuroImage 186 2019-06-06
2019 Maxime Maheu, Stanislas Dehaene, Florent Meyniel
Brain signatures of a multiscale process of sequence learning in humans
published pages: , ISSN: 2050-084X, DOI: 10.7554/elife.41541
eLife 8 2019-06-06
2019 Lakretz, Y., Kruszewski, G., Desbordes, T., Hupkes, D., Dehaene, S., & Baroni, M.
The emergence of number and syntax units in LSTM language models
published pages: , ISSN: , DOI:
NAACL 2019-06-06
2019 Pedro Pinheiro-Chagas, Manuela Piazza, Stanislas Dehaene
Decoding the processing stages of mental arithmetic with magnetoencephalography
published pages: 124-139, ISSN: 0010-9452, DOI: 10.1016/j.cortex.2018.07.018
Cortex 114 2019-06-06

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "NEUROSYNTAX" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

Aware (2019)

Aiding Antibiotic Development with Deep Analysis of Resistance Evolution

Read More  

Resonances (2019)

Resonances and Zeta Functions in Smooth Ergodic Theory and Geometry

Read More  

CARBYNE (2020)

New carbon reactivity rules for molecular editing

Read More