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Publications of year 2020
Thesis
  1. Jordy Tasserie. Thalamic DBS restores consciousness in anesthetized macaques. PhD thesis, Univerité Paris Saclay, 2020. [bibtex-entry]


Articles in journals
  1. Parvaneh Adibpour, Jessica Lebenberg, Claire Kabdebon, Ghislaine Dehaene-Lambertz, and Jessica Dubois. Anatomo-functional correlates of auditory development in infancy. Developmental Cognitive Neuroscience, pp 100752, 2020. [PDF] [bibtex-entry]


  2. Fosca Al Roumi, Sébastien Marti, Liping Wang, Marie Amalric, and Stanislas Dehaene. Mental compression of spatial sequences in human working memory using numerical and geometrical primitives. bioRxiv, 2020. [WWW] [bibtex-entry]


  3. Irene Altarelli, Ghislaine Dehaene-Lambertz, and Daphne Bavelier. Individual differences in the acquisition of non-linguistic audio-visual associations in 5 year olds. Developmental science, 23(4):e12913, 2020. [bibtex-entry]


  4. Elisa Castaldi, Marco Turi, Sahawanatou Gassama, Manuela Piazza, and Evelyn Eger. Excessive visual crowding effects in developmental dyscalculia. Journal of Vision, August 2020, Vol.20, 7, 2020. [WWW] [PDF] [bibtex-entry]


  5. Elisa Castaldi, Alexandre Vignaud, and Evelyn Eger. Mapping subcomponents of numerical cognition in relation to functional and anatomical landmarks of human parietal cortex. NeuroImage, 221:117210, 2020. [PDF] [bibtex-entry]


  6. Claire HC Chang, Stanislas Dehaene, Denise H Wu, Wen-Jui Kuo, and Christophe Pallier. Cortical encoding of linguistic constituent with and without morphosyntactic cues. Cortex, 2020. [PDF] [bibtex-entry]


  7. Lorenzo Ciccione and Stanislas Dehaene. Grouping mechanisms in numerosity perception. PsyArXiv, 2020. [WWW] [bibtex-entry]


  8. Dror Dotan and Stanislas Dehaene. Parallel and serial processes in number-to-quantity conversion. Cognition, 204:104387, 2020. [PDF] [bibtex-entry]


  9. Xiaoxia Feng, Irene Altarelli, Karla Monzalvo, Guosheng Ding, Franck Ramus, Hua Shu, Stanislas Dehaene, Xiangzhi Meng, and Ghislaine Dehaene-Lambertz. A universal reading network and its modulation by writing system and reading ability in French and Chinese children. Elife, 9:e54591, 2020. [PDF] [bibtex-entry]


  10. Arnaud Gloaguen, Cathy Philippe, Vincent Frouin, Giulia Gennari, Ghislaine Dehaene-Lambertz, Laurent Le Brusquet, and Arthur Tenenhaus. Multiway generalized canonical correlation analysis. Biostatistics, 2020. [bibtex-entry]


  11. Gerald Hahn, Gorka Zamora-López, Lynn Uhrig, Enzo Tagliazucchi, Helmut Laufs, Dante Mantini, Morten L Kringelbach, Bechir Jarraya, and Gustavo Deco. Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals. NeuroImage, 226:117470, 2020. [WWW] [bibtex-entry]


  12. Daria La Rocca, Philippe Ciuciu, Denis-Alexander Engemann, and Virginie Van Wassenhove. Emergence of $\beta$ and $\gamma$ networks following multisensory training. NeuroImage, 206:116313, 2020. [PDF] [bibtex-entry]


  13. Yann Le Guen, François Leroy, Cathy Philippe, IMAGEN consortium, Jean-François Mangin, Ghislaine Dehaene-Lambertz, and Vincent Frouin. Enhancer locus in ch14q23. 1 modulates brain asymmetric temporal regions involved in language processing. Cerebral Cortex, 30(10):5322--5332, 2020. [PDF] [bibtex-entry]


  14. Diana López-Barroso, Michel Thiebaut de Schotten, José Morais, Régine Kolinsky, Lucia W Braga, Alexandre Guerreiro-Tauil, Stanislas Dehaene, and Laurent Cohen. Impact of literacy on the functional connectivity of vision and language related networks. NeuroImage, pp 116722, 2020. [WWW] [bibtex-entry]


  15. Maxime Maheu, Florent Meyniel, and Stanislas Dehaene. Rational arbitration between statistics and rules in human sequence learning. bioRxiv, 2020. [WWW] [PDF]
    Abstract: Detecting and learning temporal regularities is essential to accurately predict the future. Past research indicates that humans are sensitive to two types of sequential regularities: deterministic rules, which afford sure predictions, and statistical biases, which govern the probabilities of individual items and their transitions. How does the human brain arbitrate between those two types? We used finger tracking to continuously monitor the online build-up of evidence, confidence, false alarms and changes-of-mind during sequence learning. All these aspects of behaviour conformed tightly to a hierarchical Bayesian inference model with distinct hypothesis spaces for statistics and rules, yet linked by a single probabilistic currency. Alternative models based either on a single statistical mechanism or on two non-commensurable systems were rejected. Our results indicate that a hierarchical Bayesian inference mechanism, capable of operating over several distinct hypothesis spaces, underlies the human capability to learn both statistics and rules.
    [bibtex-entry]


  16. Raphaëlle Malassis, Stanislas Dehaene, and Joël Fagot. Baboons (Papio papio) Process a Context-Free but Not a Context-Sensitive Grammar. Scientific Reports (Nature Publisher Group), 10(1), 2020. [WWW] [PDF] [bibtex-entry]


  17. George A Mashour, Pieter Roelfsema, Jean-Pierre Changeux, and Stanislas Dehaene. Conscious Processing and the Global Neuronal Workspace Hypothesis. Neuron, 105(5):776--798, 2020. [WWW] [PDF] [bibtex-entry]


  18. Julia Moser, Franziska Schleger, Magdalene Weiss, Katrin Sippel, Ghislaine Dehaene-Lambertz, and Hubert Preissl. Magnetoencephalographic signatures of hierarchical rule learning in newborns. Developmental cognitive neuroscience, 46:100871, 2020. [PDF] [bibtex-entry]


  19. Theofanis I. Panagiotaropoulos, Abhilash Dwarakanath, and Vishal Kapoor. Prefrontal Cortex and Consciousness: Beware of the Signals. Trends in Cognitive Science, March 2020. [WWW] [PDF] [bibtex-entry]


  20. Theofanis I. Panagiotaropoulos, Liping Wang, and Stanislas Dehaene. Hierarchical architecture of conscious processing and subjective experience. Cognitive Neuropsychology, 0(0):1-4, 2020.
    Note: PMID: 32423303. [WWW] [PDF] [bibtex-entry]


  21. Ana Luísa Pinho, Alexis Amadon, Baptiste Gauthier, Nicolas Clairis, André Knops, Sarah Genon, Elvis Dohmatob, Juan Jesús Torre, Chantal Ginisty, Séverine Becuwe-Desmidt, Séverine Roger, Yann Lecomte, Valérie Berland, Laurence Laurier, Véronique Joly-Testault, Gaëlle Médiouni-Cloarec, Christine Doublé, Bernadette Martins, Eric Salmon, Manuela Piazza, David Melcher, Mathias Pessiglione, Virginie van Wassenhove, Evelyn Eger, Gaël Varoquaux, Stanislas Dehaene, Lucie Hertz-Pannier, and Bertrand Thirion. Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping. Scientific Data, 7(1):353, 2020.
    Note: DOI : https://doi.org/10.1038/s41597-020-00670-4. [WWW] [PDF]
    Abstract: We present an extension of the Individual Brain Charting dataset -a high spatial-resolution, multi-task, functional Magnetic Resonance Imaging dataset, intended to support the investigation on the functional principles governing cognition in the human brain. The concomitant data acquisition from the same 12 participants, in the same environment, allows to obtain in the long run finer cognitive topographies, free from inter-subject and inter-site variability. This second release provides more data from psychological domains present in the first release, and also yields data featuring new ones. It includes tasks on e.g. mental time travel, reward, theory-of-mind, pain, numerosity, self-reference effect and speech recognition. In total, 13 tasks with 86 contrasts were added to the dataset and 63 new components were included in the cognitive description of the ensuing contrasts. As the dataset becomes larger, the collection of the corresponding topographies becomes more comprehensive, leading to better brain-atlasing frameworks. This dataset is an open-access facility; raw data and derivatives are publicly available in neuroimaging repositories. Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12958181
    [bibtex-entry]


  22. Samuel Planton, Timo van Kerkoerle, Leïla Abbih, Maxime Maheu, Florent Meyniel, Mariano Sigman, Liping Wang, Santiago Figueira, Sergio Romano, and Stanislas Dehaene. Mental compression of binary sequences in a language of thought. 2020. [WWW] [bibtex-entry]


  23. Mathias Sablé-Meyer, Serge Caparos, Timo van Kerkoerle, Marie Amalric, Stanislas Dehaene, and others. A signature of human uniqueness in the perception of geometric shapes. 2020. [WWW] [bibtex-entry]


  24. Camilo Miguel Signorelli and Daniel Meling. Towards new concepts for a biological neuroscience of consciousness. 2020. [PDF] [bibtex-entry]


  25. Cassandra Potier Watkins, Julien Caporal, Clément Merville, Sid Kouider, and Stanislas Dehaene. Accelerating reading acquisition and boosting comprehension with a cognitive science-based tablet training. Journal of Computers in Education, pp 1--30, 2020. [PDF] [bibtex-entry]


  26. Niklas Wilming, Peter R Murphy, Florent Meyniel, and Tobias H Donner. Large-scale dynamics of perceptual decision information across human cortex. Nature Communications, 11(1):1--14, 2020. [WWW] [bibtex-entry]


  27. Oscar Woolnough, Cristian Donos, Patrick S Rollo, Kiefer J Forseth, Yair Lakretz, Nathan E Crone, Simon Fischer-Baum, Stanislas Dehaene, and Nitin Tandon. Spatiotemporal dynamics of orthographic and lexical processing in the ventral visual pathway. Nature Human Behaviour, pp 1--10, 2020. [PDF] [bibtex-entry]


Miscellaneous
  1. Ghislaine Dehaene-Lambertz, Ana Fló, and Marcela Peña. Infants' early competence for language and symbols. The Social Brain: A Developmental Perspective, 2020. [PDF]
    Abstract: Humans have much more sophisticated communication skills than other species. They are not limited to emotional cries, alarm calls, and soothing demands; they also interpret the inner and outer world in a symbolic way, resulting in a collective intelligence and an accumulation of knowledge called culture. This culture permeates the child and fosters efficient learning, based on the knowledge accumulated through generations. To develop this collective intelligence, it requires (a) a social brain predisposed to learn from conspecifics, (b) awareness of one's mental state and knowledge and those of others, (c) a shared common language of thought, and (d) a communication system for exchanging this information. We insist on the value of symbolic representations as a compressed, necessary format for representing information to ourselves and exchanging information with others. We propose that human cognition has been boosted beyond the cognition of other primates by the multiplicative advantage of codevelopment of social cognition, language but also symbolic thinking that can be observed from the first months of life on
    [bibtex-entry]



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Last modified: Wed Sep 22 14:14:07 2021
Author: gs985873.


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