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Publications of year 2018
Books
  1. Séverine Casalis, Laurent Cohen, Pascale Colé, Stanislas Dehaene, Thomas François, Núria Gala, Edouard Gentaz, Ludivine Javourey-Drevet, Régine Kolinsky, Julie Lassault, and others. Lire-écrire: des savoirs scientifiques aux savoirs pratiques. Armand Colin, 2018. [bibtex-entry]


Theses
  1. Lucie BERKOVITCH. Processus impliqués dans le traitement des caractéristiques syntaxiques chez le sujet sain. Mécanismes de la prise de conscience chez les patients schizophrènes et les sujets sains. PhD Thesis, UPMC, 2018. [bibtex-entry]


  2. Darinka Trubutschek. The (un)conscious human brain: attention, cognition, and working memory. PhD Thesis, UPMC, 2018. [bibtex-entry]


Articles in journals
  1. Parvaneh Adibpour, Jessica Dubois, and Ghislaine Dehaene-Lambertz. Right but not left hemispheric discrimination of faces in infancy. Nature Human Behavior, 2:67--79, 2018. [WWW] [PDF] [bibtex-entry]


  2. Parvaneh Adibpour, Jessica Dubois, Marie-Laure Moutard, and Ghislaine Dehaene-Lambertz. Early asymmetric inter-hemispheric transfer in the auditory network: insights from infants with corpus callosum agenesis. Brain Structure and Function, April 2018. [WWW] [PDF]
    Abstract: The left hemisphere specialization for language is a well-established asymmetry in the human brain. Structural and functional asymmetries are observed as early as the prenatal period suggesting genetically determined differences between both hemispheres. The corpus callosum is a large tract connecting mostly homologous areas; some have proposed that it might participate in an enhancement of the left-hemispheric advantage to process speech. To investigate its role in early development, we compared 13 3–4-month-old infants with an agenesis of the corpus callosum (“AgCC”) with 18 typical infants using high-density electroencephalography in an auditory task. We recorded event-related potentials for speech stimuli (syllables and babbling noise), presented binaurally (same syllable in both ears), monaurally (babbling noise in one ear) and dichotically (syllable in one ear and babbling noise in the other ear). In response to these stimuli, both groups developed an anterior positivity synchronous with a posterior negativity, yet the topography significantly differed between groups likely due to the atypical gyration of the medial surface in AgCC. In particular, the anterior positivity was lateral in AgCC infants while it covered the midline in typical infants. We then measured the latencies of the main auditory response (P2 at this age) for the different conditions on the symmetrical left and right clusters. The main difference between groups was a {\textbackslash}textasciitildeþinspace60ms delay in typical infants relative to AgCC, for the ipsilateral response (i.e. left hemisphere) to babbling noise presented in the left ear, whereas no difference was observed in the case of right-ear stimulation. We suggest that our results highlight an asymmetrical callosal connectivity favoring the right-to-left hemisphere direction in typical infants. This asymmetry, similar to recent descriptions in adults, might contribute to an enhancement of left lateralization for language processing beyond the initial cortical left-hemisphere advantage.
    [bibtex-entry]


  3. Marie Amalric and Stanislas Dehaene. Cortical circuits for mathematical knowledge: evidence for a major subdivision within the brain's semantic networks. Phil. Trans. R. Soc. B, 373(1740):20160515, 2018. [bibtex-entry]


  4. Marie Amalric, Isabelle Denghien, and Stanislas Dehaene. On the role of visual experience in mathematical development: Evidence from blind mathematicians. Dev Cogn Neurosci, 30:314--323, 2018. [WWW] [bibtex-entry]


  5. P Barttfeld, S Abboud, H Lagercrantz, U Aden, N Padilla, AD Edwards, L Cohen, M Sigman, S Dehaene, and G Dehaene-Lambertz. A lateral-to-mesial organization of human ventral visual cortex at birth. Brain Structure and Function, pp 1--13, 2018. [PDF] [bibtex-entry]


  6. Robert Becker, Dimitri Van De Ville, and Andreas Kleinschmidt. Alpha oscillations reduce temporal long-range dependence in spontaneous human brain activity. Journal of Neuroscience, 38(3):755--764, 2018. [bibtex-entry]


  7. L Berkovitch, L Charles, A Del Cul, N Hamdani, M Delavest, S Sarrazin, JF Mangin, MA d’Albis, F Bellivier, C Poupon, and others. Perturbations de l’accès conscient et de la connectivité cérébrale longue-distance dans la psychose. French Journal of Psychiatry, 1:S146--S147, 2018. [WWW] [bibtex-entry]


  8. L. Berkovitch, A. Del Cul, M. Maheu, and S. Dehaene. Impaired conscious access and abnormal attentional amplification in schizophrenia.. NeuroImage: Clinica, 18, 2018. [WWW] [PDF] [bibtex-entry]


  9. Shohini Bhattasali, John Hale, Christophe Pallier, Jonathan Brennan, Wen-Ming Luh, and R. Nathan Spreng. Differentiating Phrase Structure Parsing and Memory Retrieval in the Brain. Proceedings of the Society for Computation in Linguistics, 1(1):74--80, January 2018. [WWW] [PDF]
    Abstract: On some level, human sentence comprehension must involve both memory retrieval and structural composition. This study differentiates these two processes using neuroimaging data collected during naturalistic listening. Retrieval is formalized in terms of "multiword expressions" while structure-building is formalized in terms of bottom-up parsing. The results most strongly implicate Anterior Temporal regions for structure-building and Precuneus Cortex for memory retrieval.
    [bibtex-entry]


  10. Arnaud Cachia, Margot Roell, Jean-François Mangin, Zhong Yi Sun, Antoinette Jobert, Lucia Braga, Olivier Houde, Stanislas Dehaene, and Grégoire Borst. How interindividual differences in brain anatomy shape reading accuracy. Brain Structure and Function, 223:701--712, 2018. [WWW] [bibtex-entry]


  11. Elisa Castaldi, Anne Mirassou, Stanislas Dehaene, Manuela Piazza, and Evelyn Eger. Asymmetrical interference between number and item size perception provides evidence for a domain specific impairment in dyscalculia. PloS one, 13(12):e0209256, 2018. [WWW] [bibtex-entry]


  12. Zenas C Chao, Kana Takaura, Liping Wang, Naotaka Fujii, and Stanislas Dehaene. Large-Scale Cortical Networks for Hierarchical Prediction and Prediction Error in the Primate Brain. Neuron, 2018. [PDF] [bibtex-entry]


  13. S. Dehaene. The Error-Related Negativity, Self-Monitoring, and Consciousness. Perspect Psychol Sci, 13(2):161--165, 2018. [PDF] [bibtex-entry]


  14. Stanislas Dehaene, Marie Amalric, and Sébastien Bohler. Chacun peut entraîner ses neurones des maths. Cerveau Psycho, 100(6):68--70, 2018. [bibtex-entry]


  15. Ghislaine Dehaene-Lambertz, Karla Monzalvo, and Stanislas Dehaene. The emergence of the visual word form: Longitudinal evolution of category-specific ventral visual areas during reading acquisition. PLoS biology, 16(3):e2004103, 2018. [PDF] [bibtex-entry]


  16. Dror Dotan, Florent Meyniel, and Stanislas Dehaene. On-line confidence monitoring during decision making. Cognition, 171:112--21, 2018. [PDF] [bibtex-entry]


  17. Jessica Dubois, Julien Lefèvre, Hugo Angleys, François Leroy, Clara Fischer, Jessica Lebenberg, Ghislaine Dehaene-Lambertz, Cristina Borradori-Tolsa, François Lazeyras, Lucie Hertz-Pannier, and others. The dynamics of cortical folding waves and prematurity-related deviations revealed by spatial and spectral analysis of gyrification. NeuroImage, 2018. [PDF] [bibtex-entry]


  18. Denis A Engemann, Federico Raimondo, Jean-Rémi King, Benjamin Rohaut, Gilles Louppe, Frédéric Faugeras, Jitka Annen, Helena Cassol, Olivia Gosseries, Diego Fernandez-Slezak, and others. Robust EEG-based cross-site and cross-protocol classification of states of consciousness. Brain, 2018. [PDF] [bibtex-entry]


  19. Thomas Hannagan, Andreas Nieder, Pooja Viswanathan, and Stanislas Dehaene. A random-matrix theory of the number sense. Phil. Trans. R. Soc. B, 373(1740):20170253, 2018. [PDF] [bibtex-entry]


  20. Xinjian Jiang, Tenghai Long, Weicong Cao, Junru Li, Stanislas Dehaene, and Liping Wang. Production of supra-regular spatial sequences by macaque monkeys. Current Biology, 2018. [PDF] [bibtex-entry]


  21. Anne-Lise Jouen, Timothy Ellmore, Carol Madden-Lombardi, Christophe Pallier, Peter Ford Dominey, and Jocelyne Ventre-Dominey. Beyond the Word and Image: II- Structural and Functional Connectivity of a Common Semantic System. Neuroimage, 98:166--85, 2018. [WWW] [PDF]
    Abstract: Understanding events requires interplaying cognitive processes arising in neural networks whose organisation and connectivity remain subjects of controversy in humans. In the present study, by combining diffusion tensor im- aging and functional interaction analysis, we aim to provide new insights on the organisation of the structural and functional pathways connecting the multiple nodes of the identified semantic system -shared by vision and language (Jouen et al., 2015). We investigated a group of 19 healthy human subjects during experimental tasks of reading sentences or seeing pictures. The structural connectivity was realised by deterministic tractography using an algorithm to extract white matter fibers terminating in the selected regions of interest (ROIs) and the func- tional connectivity by independent component analysis to measure correlated activities among these ROIs. The major connections link ventral neural stuctures including the parietal and temporal cortices through inferior and middle longitudinal fasciculi, the retrosplenial and parahippocampal cortices through the cingulate bundle, and the temporal and prefrontal structures through the uncinate fasciculus. The imageability score provided when the subject was reading a sentence was significantly correlated with the factor of anisotropy of the left parieto- temporal connections of the middle longitudinal fasciculus. A large part of this ventrally localised structural connectivity corresponds to functional interactions between the main parietal, temporal and frontal nodes. More precisely, the strong coactivation both in the anterior temporal pole and in the region of the temporo-parietal cortex suggests dual and cooperating roles for these areas within the semantic system. These findings are dis- cussed in terms of two semantics-related sub-systems responsible for conceptual representation.
    [bibtex-entry]


  22. Nima Khalighinejad, Aaron Schurger, Andrea Desantis, Leor Zmigrod, and Patrick Haggard. Precursor processes of human self-initiated action. Neuroimage, 165:35--47, 2018. [WWW] [bibtex-entry]


  23. Régine Kolinsky, José Morais, Laurent Cohen, and Stanislas Dehaene. Les bases neurales de l’apprentissage de la lecture. Langue française, (3):17--33, 2018. [PDF] [bibtex-entry]


  24. Tadeusz Wladyslaw Kononowicz, Clemence Roger, and Virginie van Wassenhove. Temporal metacognition as the decoding of self-generated brain dynamics. bioRxiv, pp 206086, 2018. [bibtex-entry]


  25. Daria La Rocca, Nicolas Zilber, Patrice Abry, Virginie van Wassenhove, and Philippe Ciuciu. Self-similarity and multifractality in human brain activity: A wavelet-based analysis of scale-free brain dynamics. Journal of neuroscience methods, 309:175--187, 2018. [bibtex-entry]


  26. Daria La Rocca, Nicolas Zilber, Patrice Abry, Virginie van Wassenhove, and Philippe Ciuciu. Self-similarity and multifractality in human brain activity: a wavelet-based analysis of scale-free brain dynamics. bioRxiv, pp 315853, 2018. [PDF] [bibtex-entry]


  27. A. Lambrechts, C. M. Falter-Wagner, and V. van Wassenhove. Diminished neural resources allocation to time processing in Autism Spectrum Disorders. NeuroImage: Clinical, 17:124--136, 2018. [bibtex-entry]


  28. G Lasne, M. Piazza, S. Dehaene, A. Kleinschmidt, and E Eger. Discriminability of numerosity-evoked fMRI activity patterns in human intra-parietal cortex reflects behavioral numerical acuity. Cortex, in press, 2018. [WWW] [PDF] [bibtex-entry]


  29. Y Le Guen, F Leroy, G. Auzias, D Riviere, A. Grigis, J. F. Mangin, O. Coulon, G. Dehaene-Lambertz, and V. Frouin. The chaotic morphology of the left superior temporal sulcus is genetically constrained. Neuroimage, 174(Mar 21), 2018. [bibtex-entry]


  30. J Lebenberg, M Labit, Guillaume Auzias, H Mohlberg, C Fischer, D Rivière, E Duchesnay, C Kabdebon, F Leroy, N Labra, and others. A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem. Brain Structure and Function, pp 1--16, 2018. [PDF] [bibtex-entry]


  31. J Lebenberg, M Labit, Guillaume Auzias, H Mohlberg, C Fischer, D Rivière, E Duchesnay, C Kabdebon, F Leroy, N Labra, and others. A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem. Brain Structure and Function, pp 1--16, 2018. [PDF] [bibtex-entry]


  32. Jessica Lebenberg, J-F Mangin, Bertrand Thirion, C Poupon, Lucie Hertz-Pannier, François Leroy, Parvaneh Adibpour, Ghislaine Dehaene-Lambertz, and Jessica Dubois. Mapping the asynchrony of cortical maturation in the infant brain: A MRI multi-parametric clustering approach. NeuroImage, 2018. [PDF] [bibtex-entry]


  33. Mahdi Mahmoudzadeh, Ghislaine Dehaene-Lambertz, Guy Kongolo, Marc Fournier, Sabrina Goudjil, and Fabrice Wallois. Consequence of intraventricular hemorrhage on neurovascular coupling evoked by speech syllables in preterm neonates. Developmental cognitive neuroscience, 2018. [PDF] [bibtex-entry]


  34. Michael P Milham, Lei Ai, Bonhwang Koo, Ting Xu, Céline Amiez, Fabien Balezeau, Mark G Baxter, Erwin LA Blezer, Thomas Brochier, Aihua Chen, and others. An open resource for non-human primate imaging. Neuron, 100(1):61--74, 2018. [WWW] [bibtex-entry]


  35. K. Nakamura, M. Makuuchi, T. Oga, T. Mizuochi-Endo, T. Iwabuchi, Y. Nakajima, and S. Dehaene. Neural capacity limits during unconscious semantic processing. Eur J Neurosci, Mar 7, 2018. [bibtex-entry]


  36. Kimihiro Nakamura, Michiru Makuuchi, Tatsuhide Oga, Tomomi Mizuochi-Endo, Toshiki Iwabuchi, Yasoichi Nakajima, and Stanislas Dehaene. Neural capacity limits during unconscious semantic processing. European Journal of Neuroscience, 47(8):929--937, 2018. [PDF] [bibtex-entry]


  37. Minhui Ouyang, Jessica Dubois, Qinlin Yu, Pratik Mukherjee, and Hao Huang. Delineation of early brain development from fetuses to infants with diffusion MRI and beyond. NeuroImage, 2018. [PDF] [bibtex-entry]


  38. Manuela Piazza, Vito De Feo, Stefano Panzeri, and Stanislas Dehaene. Learning to focus on number. Cognition, 181:35--45, 2018. [bibtex-entry]


  39. Pedro Pinheiro-Chagas, Amy Daitch, Josef Parvizi, and Stanislas Dehaene. Brain Mechanisms of Arithmetic: A Crucial Role for Ventral Temporal Cortex. Journal of cognitive neuroscience, pp 1--15, 2018. [PDF] [bibtex-entry]


  40. Ana Luísa Pinho, Alexis Amadon, Torsten Ruest, Murielle Fabre, Elvis Dohmatob, Isabelle Denghien, Chantal Ginisty, Séverine Becuwe-Desmidt, Séverine Roger, Laurence Laurier, Joly-Testault and Véronique, Médiouni-Cloarec Gaëlle, Christine Doublé, Martins Bernadette, Pinel Philippe, Eger Evelyn, Varoquaux Gaël, Pallier Christophe, Dehaene S, Hertz-Pannier Lucie, and Bertrand Thirion. Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping. Scientific data, 5, 2018. [WWW] [PDF] [bibtex-entry]


  41. Sergio Romano, Alejo Salles, Marie Amalric, Stanislas Dehaene, Mariano Sigman, and Santiago Figueira. Bayesian validation of grammar productions for the language of thought. PloS one, 13(7):e0200420, 2018. [WWW] [bibtex-entry]


  42. Alexandre Salvador, Lucie Berkovitch, Fabien Vinckier, Laurent Cohen, Lionel Naccache, Stanislas Dehaene, and Raphaël Gaillard. Unconscious memory suppression. Cognition, 180:191--199, 2018. [PDF] [bibtex-entry]


  43. Aaron Schurger. Specific Relationship between the Shape of the Readiness Potential, Subjective Decision Time, and Waiting Time Predicted by an Accumulator Model with Temporally Autocorrelated Input Noise. eNeuro, pp --, January 2018. [WWW]
    Abstract: Self-initiated movements are reliably preceded by a gradual buildup of neuronal activity known as the readiness potential (RP). Recent evidence suggests that the RP may reflect sub-threshold stochastic fluctuations in neural activity that can be modeled as a process of accumulation to bound. One element of accumulator models that has been largely overlooked in the literature is the stochastic term, which is traditionally modeled as Gaussian white noise. While there may be practical reasons for this choice, we have long known that noise in neural systems is not white as it is long-term correlated with spectral density of the form 1/f (with roughly 1 \< \< 3) across a broad range of spatial scales. I explored the behavior of a leaky stochastic accumulator when the noise over which it accumulates is temporally autocorrelated. I also allowed for the possibility that the RP, as measured at the scalp, might reflect the input to the accumulator (i.e. its stochastic noise component) rather than its output. These two premises led to two novel predictions that I empirically confirmed on behavioral and electroencephalography data from human subjects performing a self-initiated movement task. In addition to generating these two predictions, the model also suggested biologically plausible levels of autocorrelation, consistent with the degree of autocorrelation in our empirical data and in prior reports. These results expose new perspectives for accumulator models by suggesting that the spectral properties of the stochastic input should be allowed to vary, consistent with the nature of biological neural noise.Significance Statement The cortical �readiness potential� (RP) is a gradual buildup of scalp electrical potential, and underlying neural activity in motor areas, that reliably precedes the onset of voluntary self-initiated movements by up to one second or more. More than fifty years after its discovery, the functional nature of the RP remains unclear. Here I argue, based on empirical evidence, that the RP reflects the stochastic input to an accumulation-to-bound decision process, and that this stochastic input is temporally autocorrelated, and not Gaussian white noise as it is traditionally modeled. The argument is supported by testing and confirming two novel predictions that emerge from an accumulator model when the stochastic input noise is autocorrelated rather than white.
    [bibtex-entry]


  44. Lynn Uhrig, Jacobo D Sitt, Amaury Jacob, Jordy Tasserie, Pablo Barttfeld, Morgan Dupont, Stanislas Dehaene, and Bechir Jarraya. Resting-state Dynamics as a Cortical Signature of Anesthesia in Monkeys. Anesthesiology: The Journal of the American Society of Anesthesiologists, 2018. [PDF] [bibtex-entry]


  45. B. van Vugt, B. Dagnino, D. Vartak, H. Safaai, S. Panzeri, S. Dehaene, and PR Roelfsema. The threshold for conscious report: Signal loss and response bias in visual and frontal cortex.. Science, March 22, 2018. [PDF] [bibtex-entry]


Conference proceedings
  1. Athina Demertzi, Enzo Tagliazucchi, Stanislas Dehaene, Gustavo Deco, Pablo Barttfeld, Federico Raimondo, Charlotte Martial, B Rohaut, HU Voss, ND Schiff, and others. Dynamic inter-regional coordination patterns as specific predictors of consciousness. In 4th Congress of the European Academy of Neurology, 2018. [WWW] [bibtex-entry]


  2. J Posner, C Saper, N Schiff, F Plum, B Edlow, E Takahashi, O Wu, M Souter, P Blissitt, S Blosser, and others. Disorders of consciousness: ethical issues of diagnosis, treatment, and prognostication. In Seminars in neurology, volume 38, pages 548--554, 2018. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.. [WWW] [bibtex-entry]


Miscellaneous
  1. Jean Argouarch. A new Sentence Completion Set of 6000 questions for natural language models, 2018. [WWW] [PDF] [bibtex-entry]


  2. Stanislas Dehaene. L’épanouissement cognitif selon Stanislas Dehaene, May 2018. [WWW] [PDF] [bibtex-entry]


  3. Stanislas Dehaene. Apprenez apprendre!, September 2018. [PDF] [bibtex-entry]


  4. Stanislas Dehaene. Annuaire 2017-2018, 2018. [PDF] [bibtex-entry]


  5. Caroline Huron. Des outils pour aider les enfants dyspraxiques, September 2018. [WWW] [PDF] [bibtex-entry]


  6. Zhang Zhang and Stanislas Dehaene. La nuit, le cerveau trouve la solution..., September 2018. [PDF] [bibtex-entry]


  7. Micha Heilbron and Florent Meyniel. Subjective confidence reveals the hierarchical nature of learning under uncertainty. , 2018. [WWW] [bibtex-entry]



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