Explore the words cloud of the NeuroSyntax project. It provides you a very rough idea of what is the project "NeuroSyntax" about.
The following table provides information about the project.
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
|Coordinator Country||France [FR]|
|Total cost||2˙499˙746 €|
|EC max contribution||2˙499˙746 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2016-10-01 to 2021-09-30|
Take a look of project's partnership.
|1||COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES||FR (PARIS 15)||coordinator||2˙499˙746.00|
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.
|year||authors and title||journal||last update|
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|
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
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
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|
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|
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|
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|
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|
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|
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
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
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
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:
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
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 (firstname.lastname@example.org) 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.