H. Ackermann, M. Vogel, D. Petersen, and M. Poremba, Speech deficits in ischaemic cerebellar lesions, Journal of Neurology, vol.239, issue.4, pp.223-227, 1992.

A. Chen, S. Ho, M. Desmond, and J. E. , A meta-analysis of cerebellar contributions to higher cognition from PET and fMRI studies, Human Brain Mapping, vol.35, issue.2, pp.593-615, 2012.

L. G. Appelbaum, J. M. Ales, A. M. Norcia, S. Kastner, P. D. Weerd et al., The time course of segmentation and cue-selectivity in the human visual cortex, PLoS ONE, vol.7, issue.3, p.34205, 2012.

L. Auclair and E. Siéroff, Attentional cueing effect in the identification of words and pseudowords of different length, The Quarterly Journal of Experimental Psychology, vol.55, issue.2, pp.445-463, 2002.

R. H. Baayen, Demythologizing the word frequency effect: A discriminative learning perspective, The Mental Lexicon, vol.5, issue.3, pp.436-461, 2010.

R. Baayen, D. Davidson, and D. Bates, Mixed-effects modeling with crossed random effects for subjects and items, Journal of Memory and Language, vol.59, issue.4, pp.390-412, 2008.

M. Bach and T. Meigen, Do's and don'ts in Fourier analysis of steady-state potentials, Documenta Ophthalmologica, vol.99, issue.1, pp.69-82, 1999.

H. A. Barber and M. Kutas, Interplay between computational models and cognitive electrophysiology in visual word recognition, Brain Research Reviews, vol.53, issue.1, pp.98-123, 2007.

A. Barrós-loscertales, J. González, F. Pulvermüller, N. Ventura-campos, J. C. Bustamante et al., Reading salt activates gustatory brain regions: fMRI evidence for semantic grounding in a novel sensory modality, Cerebral Cortex, vol.22, issue.11, pp.2554-2563, 2012.

D. Bates, M. Maechler, B. Bolker, and S. Walker, lme4: Linear mixed-effects models using eigen and s4, 2014.

N. Bedo, U. Ribary, and L. M. Ward, Fast dynamics of cortical functional and effective connectivity during word reading, PLoS ONE, vol.9, issue.2, 2014.

D. Besner, E. F. Risko, J. A. Stolz, D. White, M. Reynolds et al., Varieties of attention: Their roles in visual word identification, Current Directions in Psychological Science, vol.25, issue.3, pp.162-168, 2016.

J. R. Binder, R. H. Desai, W. W. Graves, and L. L. Conant, Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies, Cerebral Cortex, vol.19, pp.2767-2796, 2009.

T. Bitan, D. D. Burman, T. Chou, D. Lu, N. E. Cone et al., The interaction between orthographic and phonological information in children: An fMRI study, Human Brain Mapping, vol.28, issue.9, pp.880-891, 2007.

V. Boulenger, O. Hauk, and F. Pulvermuller, Grasping ideas with the motor system: Semantic somatotopy in idiom comprehension, Cereb Cortex, vol.19, issue.8, pp.1905-1914, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00363142

W. Braet and G. W. Humphreys, Case mixing and the right parietal cortex: Evidence from rTMS, Experimental Brain Research, vol.168, issue.1-2, pp.265-271, 2006.

S. M. Brambati, J. Ogar, J. Neuhaus, B. L. Miller, and M. L. Gorno-tempini, Reading disorders in primary progressive aphasia: A behavioral and neuroimaging study, Neuropsychologia, vol.47, issue.8-9, pp.1893-1900, 2009.

M. Braun, F. Hutzler, J. C. Ziegler, M. Dambacher, and A. M. Jacobs, Pseudohomophone effects provide evidence of early lexico-phonological processing in visual word recognition, Human Brain Mapping, vol.30, issue.7, pp.1977-1989, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00413807

M. Braun, A. M. Jacobs, F. Richlan, S. Hawelka, F. Hutzler et al., Many neighbors are not silent. fMRI evidence for global lexical activity in visual word recognition, Frontiers in Human Neuroscience, vol.9, 2015.

J. L. Bruno, A. Zumberge, F. R. Manis, Z. Lu, and J. G. Goldman, Sensitivity to orthographic familiarity in the occipito-temporal region, NeuroImage, vol.39, issue.4, pp.1988-2001, 2008.

R. Buckner, The cerebellum and cognitive function: 25 Years of insight from anatomy and neuroimaging, Neuron, vol.80, issue.3, pp.807-815, 2013.

G. Buzsáki, Large-scale recording of neuronal ensembles, Nature Neuroscience, vol.7, issue.5, pp.446-451, 2004.

G. Buzsáki, Neural syntax: Cell assemblies, synapsembles, and readers, Neuron, vol.68, issue.3, pp.362-385, 2010.

A. Capilla, P. Pazo-alvarez, A. Darriba, P. Campo, and J. Gross, Steady-state visual evoked potentials can be explained by temporal superposition of transient event-related responses, PLoS ONE, vol.6, issue.1, p.14543, 2011.

M. Carreiras, B. C. Armstrong, M. Perea, and R. Frost, The what, when, where, and how of visual word recognition, Trends in Cognitive Sciences, vol.18, issue.2, pp.90-98, 2014.

M. Carreiras, A. Mechelli, and C. J. Price, Effect of word and syllable frequency on activation during lexical decision and reading aloud, Human Brain Mapping, vol.27, issue.12, pp.963-972, 2006.

M. Carreiras, J. Riba, M. Vergara, M. Heldmann, and T. F. Münte, Syllable congruency and word frequency effects on brain activation, Human Brain Mapping, vol.30, issue.9, pp.3079-3088, 2009.

D. Cazzoli, R. M. Müri, C. Kennard, and C. R. Rosenthal, The role of the right posterior parietal cortex in letter migration between words, Journal of Cognitive Neuroscience, vol.27, issue.2, pp.377-386, 2014.

M. W. Chee, N. H. Hon, D. Caplan, H. L. Lee, and J. Goh, Frequency of concrete words modulates prefrontal activation during semantic judgments, NeuroImage, vol.16, issue.1, pp.259-268, 2002.

M. W. Chee, C. Westphal, J. Goh, S. Graham, and A. W. Song, Word frequency and subsequent memory effects studied using event-related fMRI, NeuroImage, vol.20, issue.2, pp.1042-1051, 2003.

Y. Chen, M. H. Davis, F. Pulvermüller, and O. Hauk, Task modulation of brain responses in visual word recognition as studied using EEG/MEG and fMRI, Frontiers in Human Neuroscience, vol.7, 2013.

S. A. Chen and J. E. Desmond, Cerebrocerebellar networks during articulatory rehearsal and verbal working memory tasks, NeuroImage, vol.24, issue.2, pp.332-338, 2005.

V. Chicherov and M. H. Herzog, Targets but not flankers are suppressed in crowding as revealed by EEG frequency tagging, NeuroImage, vol.119, pp.325-331, 2015.

L. Cohen, S. Lehéricy, F. Chochon, C. Lemer, S. Rivaud et al., Language-specific tuning of visual cortex? Functional properties of the visual word form area, Brain: A Journal of Neurology, vol.125, issue.5, pp.1054-1069, 2002.

M. Coltheart, B. Curtis, P. Atkins, and M. Haller, Models of reading aloud: Dualroute and parallel-distributed-processing approaches, Psychological Review, vol.100, issue.4, p.589, 1993.

M. Coltheart, K. Rastle, C. Perry, R. Langdon, and J. Ziegler, DRC: A dual route cascaded model of visual word recognition and reading aloud, Psychological Review, vol.108, issue.1, p.204, 2001.

M. Corbetta and G. L. Shulman, Control of goal-directed and stimulus-driven attention in the brain, Nature Reviews Neuroscience, vol.3, issue.3, pp.215-229, 2002.

F. Costanzo, D. Menghini, C. Caltagirone, M. Oliveri, and S. Vicari, How to improve reading skills in dyslexics: The effect of high frequency rTMS, Neuropsychologia, vol.51, issue.14, pp.2953-2959, 2013.

S. Dehaene and L. Cohen, The unique role of the visual word form area in reading, Trends in Cognitive Sciences, vol.15, issue.6, pp.254-262, 2011.

A. Delorme and S. Makeig, EEGLAB: An open source toolbox for analysis of singletrial EEG dynamics including independent component analysis, Journal of Neuroscience Methods, vol.134, issue.1, pp.9-21, 2004.

J. T. Devlin, P. M. Matthews, and M. F. Rushworth, Semantic processing in the left inferior prefrontal cortex: A combined functional magnetic resonance imaging and transcranial magnetic stimulation study, Journal of Cognitive Neuroscience, vol.15, issue.1, pp.71-84, 2003.

D. Russo, F. Spinelli, D. Morrone, and M. , Automatic gain control contrast mechanisms are modulated by attention in humans: Evidence from visual evoked potentials, Vision Research, issue.19, pp.2435-2447, 2001.

J. Ding, G. Sperling, and R. Srinivasan, Attentional modulation of SSVEP power depends on the network tagged by the flicker frequency, Cerebral Cortex, vol.16, issue.7, pp.1016-1029, 2005.

S. Dufau, J. Grainger, and J. C. Ziegler, How to say "no" to a nonword: A leaky competing accumulator model of lexical decision, Journal of Experimental Psychology: Learning, Memory, and Cognition, vol.38, issue.4, pp.1117-1128, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01152178

C. Eulitz, B. Maess, C. Pantev, A. D. Friederici, B. Feige et al., Oscillatory neuromagnetic activity induced by language and non-language stimuli, Cognitive Brain Research, vol.4, issue.2, pp.121-132, 1996.

A. Facoetti, M. Zorzi, L. Cestnick, M. L. Lorusso, M. Molteni et al., The relationship between visuo-spatial attention and nonword reading in developmental dyslexia, Cognitive Neuropsychology, vol.23, issue.6, pp.841-855, 2006.

X. Feng, L. Li, M. Zhang, X. Yang, M. Tian et al., Dyslexic children show atypical cerebellar activation and cerebro-cerebellar functional connectivity in orthographic and phonological processing, The Cerebellum, pp.1-12, 2016.

L. Ferrand, B. New, M. Brysbaert, E. Keuleers, P. Bonin et al., The French Lexicon Project: Lexical decision data for 38,840 French words and 38,840 pseudowords, Behavior Research Methods, vol.42, issue.2, pp.488-496, 2010.

C. J. Fiebach, A. D. Friederici, K. Müller, and D. Y. Cramon, fMRI Evidence for dual routes to the mental lexicon in visual word recognition, Journal of Cognitive Neuroscience, vol.14, issue.1, pp.11-23, 2002.

J. A. Fiez, D. A. Balota, M. E. Raichle, and S. E. Petersen, Effects of lexicality, frequency, and spelling-to-sound consistency on the functional anatomy of reading, Neuron, vol.24, issue.1, pp.80833-80841, 1999.

J. A. Fiez and S. E. Petersen, Neuroimaging studies of word reading, Proceedings of the National Academy of Sciences, vol.95, issue.3, pp.914-921, 1998.

A. D. Friederici, Pathways to language: Fiber tracts in the human brain, Trends in Cognitive Science, vol.13, issue.4, pp.175-181, 2009.

A. D. Friederici, M. Alexander, B. Hiltbrunner, R. Fischer, A. Amedi et al., The brain basis of language processing: From structure to function, Physiological reviews, vol.91, issue.4, pp.1357-1392, 2011.

P. Fries, A mechanism for cognitive dynamics: Neuronal communication through neuronal coherence, Trends in Cognitive Sciences, vol.9, issue.10, pp.474-480, 2005.

M. Fuchs, J. Kastner, M. Wagner, S. Hawes, and J. S. Ebersole, A standardized boundary element method volume conductor model, Clinical Neurophysiology, vol.113, issue.5, pp.702-712, 2002.

M. Garagnani, G. Lucchese, R. Tomasello, T. Wennekers, and F. Pulvermuller, A spiking neurocomputational model of high-frequency oscillatory brain responses to words and pseudowords, Frontiers in Computational Neuroscience, vol.10, p.145, 2017.

M. Garagnani, Y. Shtyrov, and F. Pulvermüller, Effects of attention on what is known and what is not: MEG evidence for functionally discrete memory circuits, Frontiers in Human Neuroscience, p.3, 2009.

J. O. Garcia, R. Srinivasan, and J. T. Serences, Near-real-time feature-selective modulations in human cortex, Current Biology, vol.23, issue.6, pp.515-522, 2013.

C. R. Genovese, N. A. Lazar, and T. Nichols, Thresholding of statistical maps in functional neuroimaging using the false discovery rate, NeuroImage, vol.15, issue.4, pp.870-878, 2002.

T. Givon, L. Yang, and M. Gernsbacher, The processing of second language vocabulary from attended to automated word recognition, Second Language Acquisition, vol.1, 1990.

L. S. Glezer, X. Jiang, and M. Riesenhuber, Evidence for highly selective neuronal tuning to whole words in the visual word form area, Neuron, vol.62, issue.2, pp.199-204, 2009.

J. González, A. Barros-loscertales, F. Pulvermüller, V. Meseguer, A. Sanjuán et al., Reading cinnamon activates olfactory brain regions, Neuroimage, vol.32, issue.2, pp.906-912, 2006.

J. Grainger and P. J. Holcomb, Watching the word go by: On the time-course of component processes in visual word recognition, Language and Linguistics Compass, vol.3, issue.1, pp.128-156, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00361434

J. Grainger and J. C. Ziegler, A dual-route approach to orthographic processing, Frontiers in Psychology, vol.2, p.54, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00700154

W. W. Graves, R. Desai, C. Humphries, M. S. Seidenberg, and J. R. Binder, Neural systems for reading aloud: A multiparametric approach, Cerebral Cortex, vol.20, pp.1799-1815, 2010.

R. Grech, T. Cassar, J. Muscat, K. P. Camilleri, S. G. Fabri et al., Review on solving the inverse problem in EEG source analysis, Journal of NeuroEngineering and Rehabilitation, vol.7, issue.5, p.25, 2008.

H. Tan, L. Ching-mei, C. Feng, P. T. Fox, and J. Gao, An fMRI study with written Chinese, Neuroreport, vol.12, issue.1, pp.83-88, 2001.

M. W. Harm and M. S. Seidenberg, Phonology, reading acquisition, and dyslexia: Insights from connectionist models, Psychological Review, vol.106, issue.3, p.491, 1999.

O. Hauk, M. H. Davis, F. Kherif, and F. Pulvermüller, Imagery or meaning? Evidence for a semantic origin of category-specific brain activity in metabolic imaging, European Journal of Neuroscience, vol.27, issue.7, pp.1856-1866, 2008.

M. J. Hofmann and A. M. Jacobs, Interactive activation and competition models and semantic context: From behavioral to brain data, Neuroscience & Biobehavioral Reviews, vol.46, pp.85-104, 2014.

M. Ito, Control of mental activities by internal models in the cerebellum, Nature Reviews Neuroscience, vol.9, issue.4, pp.304-313, 2008.

E. Jefferies and M. A. Ralph, Semantic impairment in stroke aphasia versus semantic dementia: A case-series comparison, Brain, vol.129, issue.8, pp.2132-2147, 2006.

G. Jobard, F. Crivello, and N. Tzourio-mazoyer, Evaluation of the dual route theory of reading: A metanalysis of 35 neuroimaging studies, NeuroImage, vol.20, issue.2, pp.693-712, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01382896

J. Kim, Y. Grabowecky, M. Paller, K. A. Muthu, K. Suzuki et al., Attention induces synchronization-based response gain in steady-state visual evoked potentials, Nature Neuroscience, vol.10, issue.1, pp.117-125, 2007.

S. Joubert, M. Beauregard, N. Walter, P. Bourgouin, G. Beaudoin et al.,

A. R. Lecours, Neural correlates of lexical and sublexical processes in reading, Brain and Language, vol.89, issue.1, pp.9-20, 2004.

Y. Kashiwase, K. Matsumiya, I. Kuriki, and S. Shioiri, Time courses of attentional modulation in neural amplification and synchronization measured with steady-state visual-evoked potentials, Journal of Cognitive Neuroscience, vol.24, issue.8, pp.1779-1793, 2012.

K. Kaspar, U. Hassler, U. Martens, N. Trujillo-barreto, and T. Gruber, Steady-state visually evoked potential correlates of object recognition, BrainResearch, vol.1343, pp.112-121, 2010.

C. Keitel, C. Quigley, and P. Ruhnau, Stimulus-driven brain oscillations in the alpha range: Entrainment of intrinsic rhythms or frequency-following response, Journal of Neuroscience, vol.34, issue.31, pp.10137-10140, 2014.

W. Klimesch, P. Sauseng, S. Hanslmayr, W. Gruber, and R. Freunberger, Eventrelated phase reorganization may explain evoked neural dynamics, Neuroscience & Biobehavioral Reviews, issue.7, pp.1003-1016, 2007.

L. Koban, M. Ninck, J. Li, T. Gisler, J. Kissler et al.,

F. Versace, Processing of emotional words measured simultaneously with steady-state visually evoked potentials and near-infrared diffusing-wave spectroscopy, BMC Neuroscience, vol.11, issue.1, p.85, 2010.

M. Kronbichler, J. Bergmann, F. Hutzler, W. Staffen, A. Mair et al., Taxi vs. Taksi: On orthographic word recognition in the left ventral occipitotemporal cortex, Journal of Cognitive Neuroscience, vol.19, issue.10, pp.1584-1594, 2007.

M. Kronbichler, F. Hutzler, H. Wimmer, A. Mair, W. Staffen et al., The visual word form area and the frequency with which words are encountered: Evidence from a parametric fMRI study, Neuroimage, vol.21, p.3, 2004.

R. Ku?, A. Duszyk, P. Milanowski, M. ?ab?cki, M. Bierzy?ska et al.,

P. J. Durka, On the quantification of SSVEP frequency responses in human EEG in realistic BCI conditions, PloS One, vol.8, issue.10, p.77536, 2013.

M. Kutas and K. D. Federmeier, Electrophysiology reveals semantic memory use in language comprehension, Trends in Cognitive Sciences, vol.4, issue.12, pp.463-470, 2000.

D. Laberge and S. J. Samuels, Toward a theory of automatic information processing in reading, Cognitive Psychology, vol.6, issue.2, pp.293-323, 1974.

S. K. Laycock, I. D. Wilkinson, L. I. Wallis, G. Darwent, S. H. Wonders et al., Cerebellar volume and cerebellar metabolic characteristics in adults with dyslexia, Annals of the New York Academy of Sciences, vol.1145, issue.1, pp.222-236, 2008.

E. Lesage, B. E. Morgan, A. C. Olson, A. S. Meyer, and R. C. Miall, Cerebellar rTMS disrupts predictive language processing, Current Biology, vol.22, issue.18, pp.794-795, 2012.

J. Linkersdörfer, J. Lonnemann, S. Lindberg, M. Hasselhorn, C. J. Fiebach et al., Grey matter alterations co-localize with functional abnormalities in developmental dyslexia: An ALE meta-analysis, PLoS ONE, vol.7, issue.8, p.43122, 2012.

M. A. Lobier, C. Peyrin, C. Pichat, J. F. Le-bas, and S. Valdois, Visual processing of multiple elements in the dyslexic brain: Evidence for a superior parietal dysfunction, Frontiers in Human Neuroscience, vol.8, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01077515

A. Lochy, G. Van-belle, and B. Rossion, A robust index of lexical representation in the left occipito-temporal cortex as evidenced by EEG responses to fast periodic visual stimulation, Neuropsychologia, vol.66, pp.18-31, 2015.

A. Lochy, M. Van-reybroeck, and B. Rossion, Left cortical specialization for visual letter strings predicts rudimentary knowledge of letter-sound association in preschoolers, Proceedings of the National Academy of Sciences, vol.113, issue.30, pp.8544-8549, 2016.

J. Lopez-calderon and S. J. Luck, ERPLAB: An open-source toolbox for the analysis of event-related potentials, Frontiers in Human Neuroscience, vol.8, p.213, 2014.

S. J. Luck, An introduction to the event-related potential technique, 2014.

W. Lutzenberger, F. Pulvermüller, and N. Birbaumer, Words and pseudowords elicit distinct patterns of 30-Hz EEG responses in humans, Neuroscience Letters, vol.176, issue.1, pp.115-118, 1994.

G. Mahé, P. Zesiger, and M. Laganaro, Beyond the initial 140ms, lexical decision and reading aloud are different tasks: An ERP study with topographic analysis, NeuroImage, vol.122, pp.65-72, 2015.

N. Mainy, J. Jung, M. Baciu, P. Kahane, B. Schoendorff et al.,

J. P. Lachaux, Cortical dynamics of word recognition, Human Brain Mapping, vol.29, issue.11, pp.1215-1230, 2008.
URL : https://hal.archives-ouvertes.fr/inserm-00203037

K. Marinkovic, R. P. Dhond, A. M. Dale, M. Glessner, V. Carr et al., Spatiotemporal dynamics of modality-specific and supramodal word processing, Neuron, vol.38, issue.3, pp.487-497, 2003.

E. Maris and R. Oostenveld, Nonparametric statistical testing of EEG-and MEGdata, Journal of Neuroscience Methods, vol.164, issue.1, pp.177-190, 2007.

S. Mathôt, D. Schreij, and J. Theeuwes, OpenSesame: An open-source, graphical experiment builder for the social sciences, Behavior Research Methods, vol.44, issue.2, pp.314-324, 2012.

K. Mayall, G. W. Humphreys, A. Mechelli, A. Olson, and C. J. Price, The effects of case mixing on word recognition: Evidence from a PET study, Journal of Cognitive Neuroscience, vol.13, issue.6, pp.844-853, 2001.

C. M. Michel and M. M. Murray, Towards the utilization of EEG as a brain imaging tool, Neuroimage, issue.2, pp.371-385, 2012.

C. M. Michel, M. M. Murray, G. Lantz, S. Gonzalez, L. Spinelli et al., EEG source imaging, Clinical neurophysiology, vol.115, issue.10, pp.2195-2222, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00617795

T. Moberget, E. H. Gullesen, S. Andersson, R. B. Ivry, and T. Endestad, Generalized role for the cerebellum in encoding internal models: Evidence from semantic processing, Journal of Neuroscience, issue.8, p.34, 2014.

V. Montani, A. Facoetti, and M. Zorzi, Spatial attention in written word perception, Frontiers in Human Neuroscience, vol.8, p.42, 2014.

V. Montani, A. Facoetti, and M. Zorzi, The effect of decreased interletter spacing on orthographic processing, Psychonomic Bulletin & Review, vol.22, issue.3, pp.824-832, 2015.

S. Moratti, B. A. Clementz, Y. Gao, T. Ortiz, and A. Keil, Neural mechanisms of evoked oscillations: Stability and interaction with transient events, Human Brain Mapping, vol.28, issue.12, pp.1318-1333, 2007.

R. D. Morey, Confidence intervals from normalized data: A correction to Cousineau, vol.4, pp.61-64, 2005.

P. J. Nestor, T. D. Fryer, and J. R. Hodges, Declarative memory impairments in Alzheimer's disease and semantic dementia, Neuroimage, vol.30, issue.3, pp.1010-1020, 2006.

B. New, C. Pallier, M. Brysbaert, and L. Ferrand, Lexique 2: A new French lexical database, Behavior Research Methods, Instruments, & Computers, vol.36, issue.3, pp.516-524, 2004.

R. I. Nicolson, A. J. Fawcett, and P. Dean, Developmental dyslexia: The cerebellar deficit hypothesis, Trends in Neurosciences, vol.24, issue.9, pp.508-511, 2001.

V. V. Nikulin, K. Linkenkaer-hansen, G. Nolte, S. Lemm, K. R. Müller et al., A novel mechanism for evoked responses in the human brain, European Journal of Neuroscience, vol.25, issue.10, pp.3146-3154, 2007.

A. M. Norcia, L. G. Appelbaum, J. M. Ales, B. R. Cottereau, and B. Rossion, The steady-state visual evoked potential in vision research: A review, Journal of Vision, vol.15, issue.6, pp.4-4, 2015.

A. M. Norcia, C. W. Tyler, R. D. Hamer, and W. Wesemann, Measurement of spatial contrast sensitivity with the swept contrast VEP, Vision Research, vol.29, issue.5, pp.627-637, 1989.

R. Oostenveld, P. Fries, E. Maris, J. Schoffelen, R. Oostenveld et al.,

J. Schoffelen, FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data, Computational Intelligence and Neuroscience, pp.1-9, 2011.

R. D. Pascual-marqui, Discrete, 3d distributed, linear imaging methods of electric neuronal activity, 2007.

C. Pattamadilok, V. Chanoine, C. Pallier, J. L. Anton, B. Nazarian et al., Automaticity of phonological and semantic processing during visual word recognition, Neuroimage, vol.149, pp.244-255, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01481043

K. Patterson and J. R. Hodges, Deterioration of word meaning: Implications for reading, Neuropsychologia, vol.30, issue.12, pp.1025-1040, 1992.

K. Patterson, P. J. Nestor, and T. T. Rogers, Where do you know what you know? The representation of semantic knowledge in the human brain, Nature Reviews Neuroscience, vol.8, issue.12, pp.976-987, 2007.

M. V. Peelen and A. Caramazza, Conceptual object representations in human anterior temporal cortex, Journal of Neuroscience, vol.32, issue.45, pp.15728-15736, 2012.

J. W. Peirce, PsychoPy-psychophysics software in Python, Journal of Neuroscience Methods, vol.162, issue.1, pp.8-13, 2007.

W. M. Perlstein, M. A. Cole, M. Larson, K. Kelly, P. Seignourel et al., Steady-state visual evoked potentials reveal frontally-mediated working memory activity in humans, Neuroscience Letters, vol.342, issue.3, pp.191-195, 2003.

C. Perry, J. C. Ziegler, and M. Zorzi, Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud, Psychological Review, vol.114, issue.2, pp.273-315, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00201288

C. Perry, J. C. Ziegler, and M. Zorzi, Beyond single syllables: Large-scale modeling of reading aloud with the Connectionist Dual Process (CDP++) model, Cognitive Psychology, issue.2, pp.106-151, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01440452

D. J. Peterson, G. Gurariy, G. G. Dimotsantos, H. Arciniega, M. E. Berryhill et al., The steady-state visual evoked potential reveals neural correlates of the items encoded into visual working memory, Neuropsychologia, vol.63, pp.145-153, 2014.

D. C. Plaut, J. L. Mcclelland, M. S. Seidenberg, and K. Patterson, Understanding normal and impaired word reading: Computational principles in quasi-regular domains, Psychological Review, vol.103, issue.1, p.56, 1996.

R. Prabhakaran, S. E. Blumstein, E. B. Myers, E. Hutchison, and B. Britton, An event-related fMRI investigation of phonological-lexical competition, Neuropsychologia, vol.44, issue.12, pp.2209-2221, 2006.

C. J. Price, A review and synthesis of the first 20years of PET and fMRI studies of heard speech, spoken language and reading, NeuroImage, vol.62, issue.2, pp.816-847, 2012.

C. J. Price and J. T. Devlin, The interactive account of ventral occipitotemporal contributions to reading, Trends in Cognitive Sciences, vol.15, issue.6, pp.246-253, 2011.

C. J. Price and A. Mechelli, Reading and reading disturbance, Current Opinion in Neurobiology, vol.15, issue.2, pp.231-238, 2005.

F. Pulvermuller, Brain mechanisms linking language and action, Nature Review Neuroscience, vol.6, issue.7, pp.576-582, 2005.

F. Pulvermüller, H. Preißl, C. Eulitz, C. Pantev, W. Lutzenberger et al.,

N. Birbaumer, Gamma-band responses reflect word/pseudoword processing, pp.243-258, 1994.

F. Pulvermüller and L. Fadiga, Active perception: Sensorimotor circuits as a cortical basis for language, Nature Reviews Neuroscience, vol.11, issue.5, pp.351-360, 2010.

F. Pulvermüller, M. Garagnani, and T. Wennekers, Thinking in circuits: Toward neurobiological explanation in cognitive neuroscience, Biological cybernetics, vol.108, issue.5, pp.573-593, 2014.

. R-core-team, R: A language and environment for statistical computing, 2014.

M. A. Ralph, E. Jefferies, K. Patterson, and T. T. Rogers, The neural and computational bases of semantic cognition, Nature Reviews Neuroscience, 2016.

N. Ramnani, The primate cortico-cerebellar system: Anatomy and function, Nature Reviews Neuroscience, vol.7, issue.7, pp.511-522, 2006.

D. Regan, Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine, 1989.

G. E. Rice, M. A. Lambon-ralph, and P. Hoffman, The roles of left versus right anterior temporal lobes in conceptual knowledge: An ALE meta-analysis of 97 functional neuroimaging studies, Cerebral Cortex, vol.25, issue.11, pp.4374-4391, 2015.

E. F. Risko, J. A. Stolz, and D. Besner, Basic processes in reading: On the relation between spatial attention and familiarity, Language and Cognitive Processes, vol.26, issue.1, pp.47-62, 2011.

D. P. Roeltgen, S. Sevush, and K. M. Heilman, Phonological agraphia: Writing by the lexical-semantic route, Neurology, vol.33, issue.6, pp.755-765, 1983.

T. T. Rogers, K. Patterson, E. Jefferies, and M. A. Ralph, Disorders of representation and control in semantic cognition: Effects of familiarity, typicality, and specificity, Neuropsychologia, vol.76, pp.220-239, 2015.

M. Rosanova, A. Casali, V. Bellina, F. Resta, M. Mariotti et al., Natural frequencies of human corticothalamic circuits, Journal of Neuroscience, vol.29, issue.24, pp.7679-7685, 2009.

B. Rossion, Understanding individual face discrimination by means of fast periodic visual stimulation, Experimental Brain Research, vol.232, issue.6, pp.1599-1621, 2014.

M. Schurz, M. Kronbichler, J. Crone, F. Richlan, J. Klackl et al., Topdown and bottom-up influences on the left ventral occipito-temporal cortex during visual word recognition: An analysis of effective connectivity, Human Brain Mapping, vol.35, issue.4, pp.1668-1680, 2014.

M. S. Seidenberg and J. L. Mcclelland, A distributed, developmental model of word recognition and naming, Psychological Review, vol.96, issue.4, p.523, 1989.

E. Sieroff and M. I. Posner, Cueing spatial attention during processing of words and letter strings in normals, Cognitive Neuropsychology, vol.5, issue.4, pp.451-472, 1988.

R. Srinivasan, F. A. Bibi, and P. L. Nunez, Steady-state visual evoked potentials: Distributed local sources and wave-like dynamics are sensitive to flicker frequency, Brain Topography, vol.18, issue.3, pp.167-187, 2006.

C. J. Stoodley and J. D. Schmahmann, Functional topography in the human cerebellum: A meta-analysis of neuroimaging studies, NeuroImage, vol.44, pp.489-501, 2008.

C. J. Stoodley and J. D. Schmahmann, The cerebellum and language: Evidence from patients with cerebellar degeneration, Brain and Language, vol.110, issue.3, pp.149-153, 2009.

N. Stuellein, R. R. Radach, A. M. Jacobs, and M. J. Hofmann, No one way ticket from orthography to semantics in recognition memory: N400 and P200 effects of associations, Brain Research, vol.1639, pp.88-98, 2016.

L. H. Tan, H. Liu, C. A. Perfetti, J. A. Spinks, P. T. Fox et al., The neural system underlying Chinese logograph reading, vol.13, pp.836-846, 2001.

J. S. Taylor, K. Rastle, M. H. Davis, and R. Holloway, Can cognitive models explain brain activation during word and pseudoword reading? A meta-analysis of 36 neuroimaging studies, Psychological Bulletin, vol.139, issue.4, p.766, 2013.

A. Testolin, I. Stoianov, A. Sperduti, and M. Zorzi, Learning Orthographic Structure With Sequential Generative Neural Networks, Cognitive Science, vol.40, issue.3, pp.579-606, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01432263

A. Testolin, I. Stoianov, and M. Zorzi, Letter perception emerges from unsupervised deep learning and recycling of natural image features, Nature Human Behaviour, vol.1, pp.657-664, 2017.

M. Thiebaut-de-schotten, F. Dell'acqua, S. J. Forkel, A. Simmons, F. Vergani et al., A lateralized brain network for visuospatial attention, Nature Neuroscience, vol.14, issue.10, pp.1245-1246, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00680170

S. M. Trauer, S. A. Kotz, M. M. Müller, P. Vuilleumier, L. Carretié et al.,

M. Pozo, Emotional words facilitate lexical but not early visual processing, BMC Neuroscience, vol.16, issue.1, p.89, 2015.

F. Varela, J. Lachaux, E. Rodriguez, and J. Martinerie, The brainweb: Phase synchronization and large-scale integration, Nature Reviews Neuroscience, vol.2, issue.4, pp.229-239, 2001.

F. Vialatte, M. Maurice, J. Dauwels, and A. Cichocki, Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives, Progress in Neurobiology, vol.90, issue.4, pp.418-438, 2010.

J. D. Victor and J. Mast, A new statistic for steady-state evoked potentials, Electroencephalography and Clinical Neurophysiology, vol.78, issue.5, pp.378-388, 1991.

T. R. Vidyasagar and K. Pammer, Dyslexia: A deficit in visuo-spatial attention, not in phonological processing, Trends in Cognitive Sciences, vol.14, issue.2, pp.57-63, 2010.

M. Vigneau, V. Beaucousin, P. Y. Herve, H. Duffau, F. Crivello et al., Meta-analyzing left hemisphere language areas: Phonology, semantics, and sentence processing, Neuroimage, vol.30, issue.4, pp.1414-1432, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01382893

B. A. Wandell, The neurobiological basis of seeing words, Annals of the New York Academy of Sciences, vol.1224, issue.1, pp.63-80, 2011.

J. Wang, J. Zhang, M. Rong, X. Wei, D. Zheng et al.,

T. Jiang, Functional topography of the right inferior parietal lobule structured by anatomical connectivity profiles, Human Brain Mapping, vol.37, issue.12, pp.4316-4332, 2016.

M. L. Whaley, C. M. Kadipasaoglu, S. J. Cox, and N. Tandon, Modulation of orthographic decoding by frontal cortex, Journal of Neuroscience, vol.36, issue.4, pp.1173-1184, 2016.

S. M. Wilson, S. M. Brambati, R. G. Henry, D. A. Handwerker, F. Agosta et al.,

M. L. Gorno-tempini, The neural basis of surface dyslexia in semantic dementia, Brain, vol.132, issue.1, pp.71-86, 2008.

C. Wong and J. Gallate, The function of the anterior temporal lobe: A review of the empirical evidence, Brain Research, vol.1449, pp.94-116, 2012.

J. D. Yeatman and A. M. Norcia, Temporal tuning of word-and face-selective cortex, Journal of Cognitive Neuroscience, vol.28, issue.11, pp.1820-1827, 2016.

Y. Zhang, D. Guo, K. Cheng, D. Yao, and P. Xu, The graph theoretical analysis of the SSVEP harmonic response networks, Cognitive Neurodynamics, vol.9, issue.3, pp.305-315, 2015.