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Publications of year 2002
Thesis
  1. Lionel Naccache. La perception subliminale des nombres : propriétés psychologiques et imagerie cérébrale fonctionnelle de processus cognitifs inconscients. Thesis/Dissertation, Université Paris VI, 2002.
    Note: Supervised by Stanislas Dehaene. [bibtex-entry]


Book chapters
  1. Stanislas Dehaene. Verbal and Nonverbal representations of numbers in the human brain. In Albert M. Galaburda, Stephen M. Kosslyn, and Yvaes Christen, editors,The Languages of the Brain, chapter 11, pages 179--190. Harvard University Press, 2002. [PDF] [bibtex-entry]


  2. Manuela Piazza. Les processus de quantification: subitizing, estimation et dénombrement. In X. Seron and M. Pesenti, editors,La cognition numérique. Hermes Science, 2002. [bibtex-entry]


Articles in journals
  1. François-Xavier Alario, Albert Costa, and Alfonso Caramazza. Hedging one's bets too much? A reply to Levelt (2002). Language and Cognitive Processes, 17:673--682, 2002. [bibtex-entry]


  2. Laurent Cohen, Stéphane Lehéricy, Florence Chochon, Cathy Lemer, S. Rivaud, and Stanislas Dehaene. Language-specific tuning of visual cortex? Functional properties of the Visual Word Form Area. Brain, 125(Pt 5):1054--69, 2002. [PDF] [bibtex-entry]


  3. Stanislas Dehaene, Gurvan Le Clec'h, Jean-Baptiste Poline, Denis LeBihan, and Laurent Cohen. The visual word form area. A prelexical representation of visual words in the fusiform gyrus. NeuroReport, 13:321--325, 2002. [PDF] [bibtex-entry]


  4. Stanislas Dehaene and J. F. Marques. Cognitive Euroscience : Scalar variability in price estimation and the cognitive consequences of switching to the Euro. qjep, 55(3):705--731, 2002. [PDF] [bibtex-entry]


  5. Stanislas Dehaene. Single-Neuron Arithmetic. Science, 297:1652--1653, 2002. [PDF] [bibtex-entry]


  6. Stanislas Dehaene. Le cerveau subliminal: imagerie cérébral des opérations conscientes et inconscientes. La lettre su neurologue, 6:18-19, 2002. [PDF] [bibtex-entry]


  7. Ghislaine Dehaene-Lambertz, Stanislas Dehaene, and L Hertz-pannier. Functional neuroimaging of speech perception in infants. Science, 298:2013--2015, 2002. [PDF] [bibtex-entry]


  8. T. Demoulins, Lionel Naccache, P. Clayette, P. Musette, D. Bequet, G. Gachelin, and D. Dormont. Preferential survival of an MBP-specific T cell clone in an HLA-DR2 multiple sclerosis patient. Neuroimmunomodulation, 10(1):1-4, 2002. [bibtex-entry]


  9. Hughes Duffau, D. Denvil, M. Lopes, F. Gasparini, Laurent Cohen, L. Capelle, and R. van Effenterre. Intraoperative mapping of the cortical areas involved in multiplication and subtraction: an electrostimulation study in a patient with a left parietal glioma. Journal of Neurol. Neurosurg. Psychiatry, 73(6):733--738, 2002. [PDF] [bibtex-entry]


  10. Sophie Dufour, Ronald Peereman, Christophe Pallier, and Monique Radeau. VoCoLex : Une base de données lexicales sur les similarités phonologiques entre les mots français. L'Année Psychologique, 102:725--746, 2002. [PDF] [bibtex-entry]


  11. Narly Golestani, T. Paus, and Zatorre R.J. Anatomical correlates of learning novel speech sounds. Neuron, 35:997--1010, 2002. [PDF] [bibtex-entry]


  12. Marc Hauser, Stanislas Dehaene, Ghislaine Dehaene-Lambertz, and A. L. Patalano. Spontaneous number discrimination of multi-format auditory stimuli in cotton-top tamarins (Saguinus oedipus). Cognition, 86:B23--B32, 2002. [PDF] [bibtex-entry]


  13. Charlotte Jacquemot, Emmanuel Dupoux, Christophe Pallier, and Anne-Catherine Bachoud-Levy. Comprehending spoken words without hearing phonemes: a case study. Cortex, 38(5):869--873, 2002. [PDF] [bibtex-entry]


  14. Ferath Kherif, Jean-Baptiste Poline, Guillaume Flandin, Habib Benali, Olivier Simon, Stanislas Dehaene, and Keith J Worsley. Multivariate model specification for fMRI data.. Neuroimage, 16(4):1068--1083, August 2002.
    Abstract: We present a general method-denoted MoDef-to help specify (or define) the model used to analyze brain imaging data. This method is based on the use of the multivariate linear model on a training data set. We show that when the a priori knowledge about the expected brain response is not too precise, the method allows for the specification of a model that yields a better sensitivity in the statistical results. This obviously relies on the validity of the a priori information, in our case the representativity of the training set, an issue addressed using a cross-validation technique. We propose a fast implementation that allows the use of the method on large data sets as found with functional Magnetic Resonance Images. An example of application is given on an experimental fMRI data set that includes nine subjects who performed a mental computation task. Results show that the method increases the statistical sensitivity of fMRI analyses.
    [bibtex-entry]


  15. Ferath Kherif, Jean-Baptiste Poline, Guillaume Flandin, Habib Benali, Olivier Simon, Stanislas Dehaene, and Keith J Worsley. Multivariate model specification for fMRI data. Neuroimage, 16(4):1068--1083, August 2002.
    Abstract: We present a general method-denoted MoDef-to help specify (or define) the model used to analyze brain imaging data. This method is based on the use of the multivariate linear model on a training data set. We show that when the a priori knowledge about the expected brain response is not too precise, the method allows for the specification of a model that yields a better sensitivity in the statistical results. This obviously relies on the validity of the a priori information, in our case the representativity of the training set, an issue addressed using a cross-validation technique. We propose a fast implementation that allows the use of the method on large data sets as found with functional Magnetic Resonance Images. An example of application is given on an experimental fMRI data set that includes nine subjects who performed a mental computation task. Results show that the method increases the statistical sensitivity of fMRI analyses
    [bibtex-entry]


  16. Nicolas Molko, Laurent Cohen, Jean-François Mangin, Florence Chochon, Stéphane Lehéricy, Denis LeBihan, and Stanislas Dehaene. Visualizing the neural bases of a disconnection syndrome with diffusion tensor imaging. jcn, 14:629--636, 2002. [PDF] [bibtex-entry]


  17. Nicolas Molko, Sabina Pappata, Jean-François Mangin, F. Poupon, Denis LeBihan, M. G. Bousser, and H. Chabriat. Monitoring disease progression in CADASIL with diffusion magnetic resonance imaging a study with whole brain histogram analysis. Stroke, 33:2902--2908, 2002. [PDF] [bibtex-entry]


  18. Lionel Naccache, E Blandin, and Stanislas Dehaene. Unconscious masked priming depends on temporal attention. Psychological Science, pp 416--424, 2002. [PDF] [bibtex-entry]


  19. Sabina Pappata, Stanislas Dehaene, Jean-Baptiste Poline, M. C. Grégoire, Antoinette Jobert, J. Delforge, V. Frouin, M. Bottlaender, F. Dollé, L. Di Giamberardino, and A. Syrota. In vivo detection of striatal dopamine release during reward: a PET study with 11C-Raclopride and a single dynamic scan approach. ni, 16:1015--1027, 2002. [PDF] [bibtex-entry]


  20. Manuela Piazza, A. Mechelli, B. Butterworth, and C. Price. Are subitizing and counting implemented as separate or functionally overlapping processes?. ni, 15(2):435--446, 2002. [bibtex-entry]


  21. Mariano Sigman and Guillermo A Cecchi. Global organization of the Wordnet lexicon. Proc Natl Acad Sci U S A, 99(3):1742-7, February 2002. [WWW] [PDF]
    Abstract: The lexicon consists of a set of word meanings and their semantic relationships. A systematic representation of the English lexicon based in psycholinguistic considerations has been put together in the database Wordnet in a long-term collaborative effort. We present here a quantitative study of the graph structure of Wordnet to understand the global organization of the lexicon. Semantic links follow power-law, scale-invariant behaviors typical of self-organizing networks. Polysemy (the ambiguity of an individual word) is one of the links in the semantic network, relating the different meanings of a common word. Polysemous links have a profound impact in the organization of the semantic graph, conforming it as a small world network, with clusters of high traffic (hubs) representing abstract concepts such as line, head, or circle. Our results show that: (i) Wordnet has global properties common to many self-organized systems, and (ii) polysemy organizes the semantic graph in a compact and categorical representation, in a way that may explain the ubiquity of polysemy across languages
    [bibtex-entry]


  22. Olivier Simon, Jean-François Mangin, Laurent Cohen, Denis LeBihan, and Stanislas Dehaene. Topographical layout of hand, eye, calculation and language related areas in the human parietal lobe. Neuron, 33:475--487, 2002. [PDF] [bibtex-entry]


Miscellaneous
  1. Ghislaine Dehaene-Lambertz. Les sciences cognitives, 2002.
    Note: Medecine & Enfance, 23. [bibtex-entry]


  2. Ghislaine Dehaene-Lambertz and Brit van Ooijen. Le langage dans la première année de vie: nouvelles perspectives, 2002.
    Note: Médecine et Enfance, 22, 293--299. [PDF] [bibtex-entry]


  3. Lionel Naccache and Stanislas Dehaene. La perception subliminale : un aperçu sur l'inconscient, 2002.
    Note: Pour la Science, 302, 96--102. [PDF] [bibtex-entry]


  4. Oliver Simon and Stanislas Dehaene. L'organisation topographique du cortex pariétal: du singe à l'homme, 2002.
    Note: Médecine/Science, 18, 535--537. [PDF] [bibtex-entry]



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Last modified: Wed Apr 17 10:23:53 2024
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