. Amedi, W. Amedi, J. Stern, . Camprodon, . Bermpohl et al., Shape conveyed by visual-to-auditory sensory substitution activates the lateral occipital complex, Nature Neuroscience, vol.17, issue.6, pp.687-696, 2007.
DOI : 10.1093/cercor/bhm018

. Mj-aschwanden, Self-organized criticality systems, p.98, 2013.

. Aspell, T. Aspell, A. Tanskanen, and . Hurlbert, Neuromagnetic correlates of visual motion coherence, European Journal of Neuroscience, vol.106, issue.11, pp.2937-2982, 2005.
DOI : 10.1111/j.1460-9568.2005.04473.x

. Babiloni, . Marzano, . Lizio, A. Valenzano, . Triggiani et al., Resting state cortical electroencephalographic rhythms in subjects with normal and abnormal body weight, NeuroImage, vol.58, issue.2, pp.698-707, 2011.
DOI : 10.1016/j.neuroimage.2011.05.080

R. and S. Kercel, Sensory substitution and the human?machine interface, Trends Cogn Sci, vol.7, issue.12, pp.541-547, 2003.

J. Bacry, J. Delour, and . Muzy, Multifractal random walk, Physical Review E, vol.64, issue.2, pp.2-5, 2001.
DOI : 10.1103/PhysRevE.64.026103

URL : https://hal.archives-ouvertes.fr/hal-00012439

J. Baillet, R. Mosher, and . Leahy, Electromagnetic brain mapping, IEEE Signal Processing Magazine, vol.18, issue.6, pp.14-30, 2001.
DOI : 10.1109/79.962275

C. Bak, K. Tang, and . Wiesenfeld, noise, Physical Review Letters, vol.59, issue.4, pp.381-385, 1987.
DOI : 10.1103/PhysRevLett.59.381

C. Bak, K. Tang, and . Wiesenfeld, Self-organized criticality, Physical Review A, vol.38, issue.1, pp.364-74, 1988.
DOI : 10.1103/PhysRevA.38.364

. Baldassarre, G. Lewis, A. Committeri, and . Snyder, Individual variability in functional connectivity predicts performance of a perceptual task, Proceedings of the National Academy of Sciences, vol.109, issue.9, pp.3516-3537, 2012.
DOI : 10.1073/pnas.1113148109

. Baranauskas, . Maggiolini, . Vato, . Angotzi, . Bonfanti et al., Origins of 1/f2 scaling in the power spectrum of intracortical local field potential, Journal of Neurophysiology, vol.107, issue.3, pp.984-94, 2012.
DOI : 10.1152/jn.00470.2011

S. Barlow and . Tripathy, Correspondence noise and signal pooling in the detection of coherent visual motion, J Neurosci, vol.17, issue.20, pp.7954-66, 1997.

. Bassett, S. Meyer-lindenber, T. Achard, E. Duke, and . Bullmore, Adaptive reconfiguration of fractal small-world human brain functional networks, Proceedings of the National Academy of Sciences, vol.103, issue.51, pp.19518-19541, 2006.
DOI : 10.1073/pnas.0606005103

H. Bavelier and . Neville, Cross-modal plasticity: where and how?, Nat Rev Neurosci, vol.3, issue.16, pp.443-52, 2002.

. Beauchamp, . Bd-argall, J. Bodurka, A. Duyn, and . Martin, Unraveling multisensory integration: patchy organization within human STS multisensory cortex, Nature Neuroscience, vol.343, issue.11, pp.1190-1192, 2004.
DOI : 10.1073/pnas.0305697101

. Beauchamp, A. Lee, and . Martin, Integration of Auditory and Visual Information about Objects in Superior Temporal Sulcus, Neuron, vol.41, issue.5, pp.809-832, 2004.
DOI : 10.1016/S0896-6273(04)00070-4

M. Becker, T. Erb, and . Haarmeier, Differential dependency on motion coherence in subregions of the human MT+ complex, European Journal of Neuroscience, vol.11, issue.8, pp.1674-85, 2008.
DOI : 10.1111/j.1460-9568.2008.06457.x

A. Bédard and . Destexhe, Macroscopic Models of Local Field Potentials and the Apparent 1/f Noise in Brain Activity, Biophysical Journal, vol.96, issue.7, pp.2589-603, 2009.
DOI : 10.1016/j.bpj.2008.12.3951

. Bedny, . Konkle, R. Pelphrey, A. Saxe, and . Pascual-leone, Sensitive Period for a Multimodal Response in Human Visual Motion Area MT/MST, Current Biology, vol.20, issue.21, pp.1900-1906, 2010.
DOI : 10.1016/j.cub.2010.09.044

D. Beggs and . Plenz, Neuronal avalanches in neocortical circuits, J Neurosci, vol.23, issue.35, pp.11167-77, 2003.

T. Bell and . Sejnowski, An Information-Maximization Approach to Blind Separation and Blind Deconvolution, Neural Computation, vol.20, issue.1, pp.1129-59, 1995.
DOI : 10.1109/78.301850

. La-benevento, . Fallon, M. Davis, and . Rezak, Auditory-visual interaction in single cells in the cortex of the superior temporal sulcus and the orbital frontal cortex of the macaque monkey, Experimental Neurology, vol.57, issue.3, pp.849-72, 1977.
DOI : 10.1016/0014-4886(77)90112-1

. Kh-britten, W. Mn-shadlen, J. Newsome, and . Movshon, The analysis of visual motion : a comparison of neuronal and psychophysical performance, J Neurosci, vol.12, issue.12, pp.4745-65, 1992.

. Bruce, R. Bruce, C. Desimone, and . Gross, Visual properties of neurons in a polysensory area in superior temporal sulcus of the macaque, J Neurophysiol, vol.46, issue.2, pp.369-84, 1981.

. Buiatti, P. Papo, C. Baudonnière, and . Van-vreeswijk, Feedback modulates the temporal scale-free dynamics of brain electrical activity in a hypothesis testing task, Neuroscience, vol.146, issue.3, pp.1400-1412, 2007.
DOI : 10.1016/j.neuroscience.2007.02.048

URL : https://hal.archives-ouvertes.fr/hal-00173875

. Bullmore, . Fadili, . Maxim, . Sendur, . Whitcher et al., Wavelets and functional magnetic resonance imaging of the human brain, NeuroImage, vol.23, issue.157, pp.234-283, 2004.
DOI : 10.1016/j.neuroimage.2004.07.012

URL : https://hal.archives-ouvertes.fr/hal-01128152

O. Bullmore and . Sporns, Complex brain networks: graph theoretical analysis of structural and functional systems, Nature Reviews Neuroscience, vol.8, issue.3, pp.186-98, 2009.
DOI : 10.1371/journal.pone.0002051

O. Bullmore and . Sporns, The economy of brain network organization, Nature Reviews Neuroscience, vol.1124, issue.5, pp.336-385, 2012.
DOI : 10.1038/nrn3214

. Bullock, J. Mc-mcclune, and . Enright, Are the electroencephalograms mainly rhythmic? Assessment of periodicity in wide-band time series, Neuroscience, vol.121, issue.1, pp.233-52, 2003.
DOI : 10.1016/S0306-4522(03)00208-2

A. Buzsáki and . Draguhn, Neuronal Oscillations in Cortical Networks, Science, vol.304, issue.5679, pp.1926-1935, 2004.
DOI : 10.1126/science.1099745

C. Buzsaki, C. Anastassiou, and . Koch, The origin of extracellular fields and currents ??? EEG, ECoG, LFP and spikes, Nature Reviews Neuroscience, vol.9, issue.6, pp.407-427, 2012.
DOI : 10.1038/nrn3241

R. Chhabra and . Jensen, Direct determination of the f(??) singularity spectrum, Physical Review Letters, vol.62, issue.12, pp.1327-1357, 1989.
DOI : 10.1103/PhysRevLett.62.1327

. Ciuciu, C. Abry, H. Rabrait, and . Wendt, Log Wavelet Leaders Cumulant Based Multifractal Analysis of EVI fMRI Time Series: Evidence of Scaling in Ongoing and Evoked Brain Activity, IEEE Journal of Selected Topics in Signal Processing, vol.2, issue.6, pp.929-972, 2008.
DOI : 10.1109/JSTSP.2008.2006663

. Ciuciu, . Varoquaux, S. Abry, A. Sadaghiani, and . Kleinschmidt, Scale-free and multifractal time dynamics of fMRI signals during rest and task, Frontiers in Physiology, vol.3, issue.108, pp.186-97, 2012.
DOI : 10.3389/fphys.2012.00186

URL : https://hal.archives-ouvertes.fr/hal-00852175

. Ciuciu, P. Ciuciu, B. Abry, and . He, Interplay between functional connectivity and scale-free dynamics in intrinsic fMRI networks, NeuroImage, vol.95
DOI : 10.1016/j.neuroimage.2014.03.047

URL : https://hal.archives-ouvertes.fr/hal-01084242

C. and B. Frey, Studies of mental, Nonlinear Dynamics Psychol Life Sci, vol.1, issue.3, pp.173-80, 1997.

S. Dm-cole, C. Smith, and . Beckmann, Advances and pitfalls in the analysis and interpretation of resting-state FMRI data, Front Syst Neurosci, vol.4, issue.8, 2010.

. Comon, Independent component analysis, A new concept? Signal processing, pp.287-314, 1994.

]. Am, M. Dale, and . Sereno, Cortical surface-based analysis. I. Segmentation and surface reconstruction, Neuroimage, vol.9, issue.2, pp.179-94, 1999.

. Dale, R. Liu, and . Buckner, Dynamic Statistical Parametric Mapping, Neuron, vol.26, issue.1, pp.55-67, 2000.
DOI : 10.1016/S0896-6273(00)81138-1

URL : http://doi.org/10.1016/s0896-6273(00)81138-1

. Darvas, E. Pantazis, R. Kucukaltun-yildirim, and . Leahy, Mapping human brain function with MEG and EEG: methods and validation, NeuroImage, vol.23, pp.289-99, 2004.
DOI : 10.1016/j.neuroimage.2004.07.014

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.6148

C. Arcangelis, H. Perrone-capano, and . Herrmann, Self-Organized Criticality Model for Brain Plasticity, Physical Review Letters, vol.96, issue.2, p.28107, 2006.
DOI : 10.1103/PhysRevLett.96.028107

L. De, A. , and H. Herrmann, Learning as a phenomenon occurring in a critical state, Proc Natl Acad Sci, vol.107, issue.9, pp.3977-81, 2010.

. Figliola, G. Serrano, M. Paccosi, and . Rosenblatt, ABOUT THE EFFECTIVENESS OF DIFFERENT METHODS FOR THE ESTIMATION OF THE MULTIFRACTAL SPECTRUM OF NATURAL SERIES, International Journal of Bifurcation and Chaos, vol.20, issue.02, pp.331-340, 2010.
DOI : 10.1142/S0218127410025788

M. Fischl, A. Sereno, and . Dale, Cortical Surface-Based Analysis, NeuroImage, vol.9, issue.2, pp.195-207, 1999.
DOI : 10.1006/nimg.1998.0396

M. Fischl, R. Sereno, A. Tootell, and . Dale, High-resolution intersubject averaging and a coordinate system for the cortical surface, Human Brain Mapping, vol.179, issue.4, pp.272-84, 1999.
DOI : 10.1002/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4

A. Fischl and . Dale, Measuring the thickness of the human cerebral cortex from magnetic resonance images, Proceedings of the National Academy of Sciences, vol.97, issue.20, pp.11050-11055, 2000.
DOI : 10.1073/pnas.200033797

. Fox, . Corbetta, J. Snyder, M. Vincent, and . Raichle, Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems, Proceedings of the National Academy of Sciences, vol.103, issue.26, pp.10046-51, 2006.
DOI : 10.1073/pnas.0604187103

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480402

M. Fox and . Raichle, Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging, Nature Reviews Neuroscience, vol.17, issue.9, pp.700-711, 2007.
DOI : 10.1016/j.neuroimage.2006.02.010

E. Dj-freedman and . Miller, Neural mechanisms of visual categorization: Insights from neurophysiology, Neuroscience & Biobehavioral Reviews, vol.32, issue.2, pp.311-340, 2008.
DOI : 10.1016/j.neubiorev.2007.07.011

J. Freeman and . Driver, Direction of Visual Apparent Motion Driven Solely by Timing of a Static Sound, Current Biology, vol.18, issue.16, pp.1262-1268, 2008.
DOI : 10.1016/j.cub.2008.07.066

S. Wj-freeman, V. Ahlfors, and . Menon, Combining fMRI with EEG and MEG in order to relate patterns of brain activity to cognition, International Journal of Psychophysiology, vol.73, issue.1, pp.43-52, 2009.
DOI : 10.1016/j.ijpsycho.2008.12.019

C. Ghazanfar and . Schroeder, Is neocortex essentially multisensory?, Trends in Cognitive Sciences, vol.10, issue.6, pp.278-85, 2006.
DOI : 10.1016/j.tics.2006.04.008

. Ej-gibson, Perceptual Learning, Annual Review of Psychology, vol.14, issue.1, pp.29-56, 1963.
DOI : 10.1146/annurev.ps.14.020163.000333

M. Gilbert, R. Sigman, and . Crist, The Neural Basis of Perceptual Learning, Neuron, vol.31, issue.5, pp.681-97, 2001.
DOI : 10.1016/S0896-6273(01)00424-X

T. Dl-gilden, M. Thornton, and . Mallon, 1/f noise in human cognition, Science, vol.267, issue.5205, pp.1837-1846, 1995.
DOI : 10.1126/science.7892611

. Giraud, . Kleinschmidt, . Poeppel, R. Te-lund, H. Frackowiak et al., Endogenous Cortical Rhythms Determine Cerebral Specialization for Speech Perception and Production, Neuron, vol.56, issue.6, pp.1127-1161, 2007.
DOI : 10.1016/j.neuron.2007.09.038

D. Gireesh and . Plenz, Neuronal avalanches organize as nested theta- and beta/gamma-oscillations during development of cortical layer 2/3, Proceedings of the National Academy of Sciences, vol.105, issue.21, pp.7576-81, 2008.
DOI : 10.1073/pnas.0800537105

. Gold, . Law, S. Connolly, and . Bennur, Relationships Between the Threshold and Slope of Psychometric and Neurometric Functions During Perceptual Learning: Implications for Neuronal Pooling, Journal of Neurophysiology, vol.103, issue.1, pp.140-54, 2010.
DOI : 10.1152/jn.00744.2009

L. Gold and . Ding, How mechanisms of perceptual decision-making affect the psychometric function, Progress in Neurobiology, vol.103, pp.98-114, 2013.
DOI : 10.1016/j.pneurobio.2012.05.008

A. Goldberger, L. Amaral, . Hausdorff, C. Ivanov, H. Peng et al., Fractal dynamics in physiology: Alterations with disease and aging, Proceedings of the National Academy of Sciences, vol.99, issue.Supplement 1, pp.2466-72, 2002.
DOI : 10.1073/pnas.012579499

. Gomez, . Hornero, A. Abasolo, J. Fernandez, and . Poza, Study of the MEG background activity in Alzheimer's disease patients with scaling analysis methods, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3485-3493, 2009.
DOI : 10.1109/IEMBS.2009.5334569

M. Ja-grahn, J. Henry, and . Mcauley, FMRI investigation of cross-modal interactions in beat perception: Audition primes vision, but not vice versa, NeuroImage, vol.54, issue.2, pp.1231-1274, 2011.
DOI : 10.1016/j.neuroimage.2010.09.033

. Gramfort, Mapping, timing and tracking cortical activations with MEG and EEG: Methods and application to human vision, pp.37-41, 2009.
URL : https://hal.archives-ouvertes.fr/tel-00426852

M. Gramfort and . Kowalski, Improving M/EEG source localization with an inter-condition sparse prior, Proc IEEE ISBI, pp.141-145, 2009.
DOI : 10.1109/isbi.2009.5193003

URL : https://hal.archives-ouvertes.fr/hal-00424029

. Gramfort, . Strohmeier, M. Haueisen, M. Hamalainen, and . Kowalski, Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries, Inf Process Med Imaging, vol.22, pp.600-611, 2011.
DOI : 10.1007/978-3-642-22092-0_49

URL : https://hal.archives-ouvertes.fr/inria-00605502

M. Gramfort, M. Kowalski, and . Hämäläinen, Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods, Physics in Medicine and Biology, vol.57, issue.7, pp.1937-61, 2012.
DOI : 10.1088/0031-9155/57/7/1937

URL : https://hal.archives-ouvertes.fr/hal-00690774

. Gramfort, . Luessi, . Larson, . Engemann, C. Strohmeier et al., MNE software for processing MEG and EEG data, NeuroImage, vol.86, pp.44-47, 2013.
DOI : 10.1016/j.neuroimage.2013.10.027

P. Grant and . Seitz, The use of visible speech cues for improving auditory detection of spoken sentences, The Journal of the Acoustical Society of America, vol.108, issue.3, pp.1197-208, 2000.
DOI : 10.1121/1.1288668

S. Gu, C. Liu, . Fetsch, . Yang, . Fok et al., Perceptual Learning Reduces Interneuronal Correlations in Macaque Visual Cortex, Neuron, vol.71, issue.4, pp.750-61, 2011.
DOI : 10.1016/j.neuron.2011.06.015

M. Da-gusnard and . Raichle, Searching for a baseline: Functional imaging and the resting human brain, Nature Reviews Neuroscience, vol.98, issue.10, pp.685-94, 2001.
DOI : 10.1038/35094500

L. Guzman-martinez-2012-]-e-guzman-martinez, . Ortega, J. Grabowecky, S. Mossbridge, and . Suzuki, Interactive Coding of Visual Spatial Frequency and Auditory Amplitude-Modulation Rate, Current Biology, vol.22, issue.5, pp.383-391
DOI : 10.1016/j.cub.2012.01.004

J. Ms-hämäläinen and . Sarvas, Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data, IEEE Transactions on Biomedical Engineering, vol.36, issue.2, pp.165-71, 1989.
DOI : 10.1109/10.16463

R. Hämäläinen, R. Hari, and . Ilmoniemi, Magnetoencephalography???theory, instrumentation, and applications to noninvasive studies of the working human brain, Reviews of Modern Physics, vol.65, issue.2, pp.413-97, 1993.
DOI : 10.1103/RevModPhys.65.413

R. Ms-hämäläinen and . Ilmoniemi, Interpreting magnetic fields of the brain: minimum norm estimates, Medical & Biological Engineering & Computing, vol.22, issue.1, pp.35-42, 1994.
DOI : 10.1007/BF02512476

. Hamamé, R. Cosmelli, F. Henriquez, and . Aboitiz, Neural Mechanisms of Human Perceptual Learning: Electrophysiological Evidence for a Two-Stage Process, PLoS ONE, vol.6, issue.3, pp.19221-2011, 2011.
DOI : 10.1371/journal.pone.0019221.s006

. Hamker, The Reentry Hypothesis: The Putative Interaction of the Frontal Eye Field, Ventrolateral Prefrontal Cortex, and Areas V4, IT for Attention and Eye Movement, Cerebral Cortex, vol.15, issue.4, pp.431-478, 2005.
DOI : 10.1093/cercor/bhh146

. Händel, P. Lutzenberger, T. Thier, and . Haarmeier, Opposite Dependencies on Visual Motion Coherence in Human Area MT+ and Early Visual Cortex, Cerebral Cortex, vol.17, issue.7, pp.1542-1551, 2007.
DOI : 10.1093/cercor/bhl063

M. Pc-hansen, R. Kringelbach, and . Salmelin, MEG: An introduction to methods, pp.45-49, 2010.
DOI : 10.1093/acprof:oso/9780195307238.001.0001

. Hardstone, . Ss-poil, . Schiavone, . Jansen, H. Vv-nikulin et al., Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations, Frontiers in Physiology, vol.3, issue.102, pp.450-2012, 2012.
DOI : 10.3389/fphys.2012.00450

. Haueisen, . Tuch, . Ramon, . Schimpf, J. Vj-wedeen et al., The Influence of Brain Tissue Anisotropy on Human EEG and MEG, NeuroImage, vol.15, issue.1, pp.159-66, 2002.
DOI : 10.1006/nimg.2001.0962

D. Hauk, R. Wakeman, and . Henson, Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics, NeuroImage, vol.54, issue.3, pp.1966-74, 2011.
DOI : 10.1016/j.neuroimage.2010.09.053

. Bj-he, . Snyder, M. Zempel, M. Smyth, and . Raichle, Electrophysiological correlates of the brain's intrinsic large-scale functional architecture, Proc Natl Acad Sci, vol.105, issue.41, pp.16039-16083, 2008.

. Bj-he, A. Zempel, M. Snyder, and . Raichle, The temporal structures and functional significance of scale-free brain activity, Neuron, vol.66, issue.3 2 3, pp.353-69, 2010.

. Bj-he, Scale-free properties of the functional magnetic resonance imaging signal during rest and task, J Neurosci, vol.31, issue.102, pp.13786-95, 2011.

S. Hr-heekeren, L. Marrett, and . Ungerleider, The neural systems that mediate human perceptual decision making, Nature Reviews Neuroscience, vol.48, issue.6, pp.467-79, 2008.
DOI : 10.1038/nrn2374

V. Helgason, P. Pipiras, and . Abry, Synthesis of multivariate stationary series with prescribed marginal distributions and covariance using circulant matrix embedding, Signal Processing, vol.91, issue.8, pp.1741-58, 2011.
DOI : 10.1016/j.sigpro.2011.01.020

C. Herault and . Jutten, Space or time adaptive signal processing by neural network models, AIP Conference Proceedings, pp.206-217, 1986.
DOI : 10.1063/1.36258

C. Hesselmann, A. Kell, and . Kleinschmidt, Ongoing Activity Fluctuations in hMT+ Bias the Perception of Coherent Visual Motion, Journal of Neuroscience, vol.28, issue.53, pp.14481-14486, 2008.
DOI : 10.1523/JNEUROSCI.4398-08.2008

. Hidaka, Y. Teramoto, Y. Sugita, S. Manaka, Y. Sakamoto et al., Auditory Motion Information Drives Visual Motion Perception, PLoS ONE, vol.178, issue.3, pp.17499-2011, 2011.
DOI : 10.1371/journal.pone.0017499.s002

URL : http://doi.org/10.1371/journal.pone.0017499

. Hillebrand, . Singh, P. Holliday, G. Furlong, and . Barnes, A new approach to neuroimaging with magnetoencephalography, Human Brain Mapping, vol.12, issue.2, pp.199-211, 2005.
DOI : 10.1002/hbm.20102

A. Hipp, M. Engel, and . Siegel, Oscillatory Synchronization in Large-Scale Cortical Networks Predicts Perception, Neuron, vol.69, issue.2, pp.387-96, 2011.
DOI : 10.1016/j.neuron.2010.12.027

. Howard, . Brammer, . Wright, E. Woodruff, S. Bullmore et al., A direct demonstration of functional specialization within motion-related visual and auditory cortex of the human brain, Current Biology, vol.6, issue.8, pp.1015-1024, 1996.
DOI : 10.1016/S0960-9822(02)00646-2

. Hughes, EEG in Clinical Practice. Butterworth-Heinemann Medical , 2nd édition, 1994.

L. Pc-ivanov, A. Amaral, . Goldberger, . Havlin, Z. Mg-rosenblum et al., Multifractality in human heartbeat dynamics, Nature, vol.399, issue.6735, pp.461-466, 1999.
DOI : 10.1038/20924

. Jaffard, P. Lashermes, and . Abry, Wavelet Leaders in Multifractal Analysis, Wavelet Analysis and Applications, pp.219-64, 2006.
DOI : 10.1007/978-3-7643-7778-6_17

URL : https://hal.archives-ouvertes.fr/ensl-00195088

K. Jausovec and . Jausovec, Resting brain activity: Differences between genders, Neuropsychologia, vol.48, issue.13, pp.3918-3943, 2010.
DOI : 10.1016/j.neuropsychologia.2010.09.020

. Kannathal, C. Acharya, P. Lim, and . Sadasivan, Characterization of EEG???A comparative study, Computer Methods and Programs in Biomedicine, vol.80, issue.1, pp.17-23, 2005.
DOI : 10.1016/j.cmpb.2005.06.005

. Jw-kantelhardt, E. Sa-zschiegnera, S. Koscielny-bunde, A. Havlin, H. Bunde et al., Multifractal detrended fluctuation analysis of nonstationary time series, Physica A: Statistical Mechanics and its Applications, vol.316, issue.1-4, pp.87-114, 2002.
DOI : 10.1016/S0378-4371(02)01383-3

. Ct-kello, . Gda-brown, J. Ferrer-i-cancho, K. Holden, T. Linkenkaer-hansen et al., Scaling laws in cognitive sciences, Trends in Cognitive Sciences, vol.14, issue.5, pp.223-255, 2010.
DOI : 10.1016/j.tics.2010.02.005

A. Kendall and . Stuart, The Advanced Theory of Statistics: Distribution theory. Macmillan, 1 édition, 1977.

A. Kim, L. Seitz, and . Shams, Benefits of Stimulus Congruency for Multisensory Facilitation of Visual Learning, PLoS ONE, vol.50, issue.2, pp.1532-1547, 2008.
DOI : 10.1371/journal.pone.0001532.g003

M. Kim, L. Peters, and . Shams, 0 + 1 > 1, Psychological Science, vol.65, issue.1, pp.6-12, 2012.
DOI : 10.1016/j.neuroimage.2006.01.016

URL : https://hal.archives-ouvertes.fr/in2p3-00018511

. King, Visual influences on auditory spatial learning, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.24, issue.17, pp.331-340, 2009.
DOI : 10.1523/JNEUROSCI.0199-04.2004

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674475

. Klaus, D. Yu, and . Plenz, Statistical Analyses Support Power Law Distributions Found in Neuronal Avalanches, PLoS ONE, vol.14, issue.5, pp.19779-2011, 2011.
DOI : 10.1371/journal.pone.0019779.s007

C. Klemen and . Chambers, Current perspectives and methods in studying neural mechanisms of multisensory interactions, Neuroscience & Biobehavioral Reviews, vol.36, issue.1, pp.111-144, 2012.
DOI : 10.1016/j.neubiorev.2011.04.015

V. Kösem and . Van-wassenhove, Temporal Structure in Audiovisual Sensory Selection, PLoS ONE, vol.31, issue.7, pp.40936-2012, 2012.
DOI : 10.1371/journal.pone.0040936.s006

. Lakatos, K. Shah, . Knuth, G. Ulbert, C. Karmos et al., An Oscillatory Hierarchy Controlling Neuronal Excitability and Stimulus Processing in the Auditory Cortex, Journal of Neurophysiology, vol.94, issue.3, pp.1904-1915, 2005.
DOI : 10.1152/jn.00263.2005

. Lakatos, . Karmos, I. Mehta, C. Ulbert, and . Schroeder, Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection, Science, vol.320, issue.5872, pp.110-123, 2008.
DOI : 10.1126/science.1154735

Y. Lam, . Kaneoke, . Gunji, . Yamasaki, T. Matsumoto et al., Magnetic response of human extrastriate cortex in the detection of coherent and incoherent motion, Neuroscience, vol.97, issue.1, pp.1-10, 2000.
DOI : 10.1016/S0306-4522(00)00037-3

H. Laufs, . Krakow, . Sterzer, . Eger, . Beyerle et al., Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest, Proceedings of the National Academy of Sciences, vol.100, issue.19, pp.11053-11061, 2003.
DOI : 10.1073/pnas.1831638100

R. Sb-laughlin, J. De-ruyter-van-steveninck, and . Anderson, The metabolic cost of neural information, Nature Neuroscience, vol.1, issue.1, pp.36-41, 1998.
DOI : 10.1038/236

. Bb-lee, A. Martin, and . Valberg, The physiological basis of heterochromatic flicker photometry demonstrated in the ganglion cells of the macaque retina, J Physiol, vol.404, pp.323-370, 1988.

. Leistedt, . Dumont, . Coumans, F. Lanquart, P. Jurysta et al., The modifications of the long-range temporal correlations of the sleep EEG due to major depressive episode disappear with the status of remission, Neuroscience, vol.148, issue.3, pp.782-93, 2007.
DOI : 10.1016/j.neuroscience.2007.06.032

J. Levina, T. Herrmann, and . Geisel, Dynamical synapses causing self-organized criticality in neural networks, Nature Physics, vol.96, issue.12, pp.857-60, 2007.
DOI : 10.1038/nphys758

. Lewis, . Baldassarre, G. Committeri, M. Romani, and . Corbetta, Learning sculpts the spontaneous activity of the resting human brain, Proceedings of the National Academy of Sciences, vol.106, issue.41, pp.17558-63, 2009.
DOI : 10.1073/pnas.0902455106

L. and U. Noppeney, Audiovisual synchrony improves motion discrimination via enhanced connectivity between early visual and auditory areas, J Neurosci, vol.30, issue.37, pp.12329-12368, 2010.

V. Li, C. Piëch, and . Gilbert, Perceptual learning and top-down influences in primary visual cortex, Nature Neuroscience, vol.19, issue.6, pp.651-658, 2004.
DOI : 10.1088/0954-898X/7/1/006

. Fh-lin, . Belliveau, M. Dale, and . Hämäläinen, Distributed current estimates using cortical orientation constraints, Human Brain Mapping, vol.10, issue.1, pp.1-13, 2006.
DOI : 10.1002/hbm.20155

V. Hansen, J. Nikouline, R. Palva, and . Ilmoniemi, Long-range temporal correlations and scaling behavior in human brain oscillations, J Neurosci, vol.21, issue.3, pp.1370-1377, 2001.

. Liu, J. Fukunaga, J. De-zwart, and . Duyn, Large-scale spontaneous fluctuations and correlations in brain electrical activity observed with magnetoencephalography, NeuroImage, vol.51, issue.1, pp.102-113, 2010.
DOI : 10.1016/j.neuroimage.2010.01.092

T. Liu and . Watanabe, Accounting for speed???accuracy tradeoff in perceptual learning, Vision Research, vol.61, pp.107-121, 2012.
DOI : 10.1016/j.visres.2011.09.007

N. Lopes and . Betrouni, Fractal and multifractal analysis: A review, Medical Image Analysis, vol.13, issue.4, pp.634-683, 2009.
DOI : 10.1016/j.media.2009.05.003

N. Lu, Z. Qian, and . Liu, Learning motion discrimination with suppressed MT, Vision Research, vol.44, issue.15, pp.1817-1842, 2004.
DOI : 10.1016/j.visres.2004.03.002

URL : http://doi.org/10.1016/j.visres.2004.03.002

. Ma, . Narayana, . Da-robin, J. Fox, and . Xiong, Changes occur in resting state network of motor system during 4weeks of motor skill learning, NeuroImage, vol.58, issue.1, pp.226-259, 2011.
DOI : 10.1016/j.neuroimage.2011.06.014

R. Maeda, S. Kanai, and . Shimojo, Changing pitch induced visual motion illusion, Current Biology, vol.14, issue.23, pp.990-991, 2004.
DOI : 10.1016/j.cub.2004.11.018

URL : http://doi.org/10.1016/j.cub.2004.11.018

. Mantini, . Perrucci, G. Del-gratta, M. Romani, and . Corbetta, Electrophysiological signatures of resting state networks in the human brain, Proceedings of the National Academy of Sciences, vol.104, issue.32, pp.13170-13175, 2007.
DOI : 10.1073/pnas.0700668104

M. and R. Oostenveld, Nonparametric statistical testing of EEGand MEG-data, J Neurosci Methods, vol.164, issue.1, pp.177-90, 2007.

K. Martin, W. Barnes, and . Stevens, Spontaneous neural activity predicts individual differences in performance, Proceedings of the National Academy of Sciences, vol.109, issue.9, pp.3201-3203, 2012.
DOI : 10.1073/pnas.1200329109

Y. Maruyama, K. Kaneoke, R. Watanabe, and . Kakigi, Human cortical responses to coherent and incoherent motion as measured by magnetoencephalography, Neuroscience Research, vol.44, issue.2, pp.195-205, 2002.
DOI : 10.1016/S0168-0102(02)00129-3

. Maxim, . Sendur, . Fadili, . Suckling, R. Gould et al., Fractional Gaussian noise, functional MRI and Alzheimer's disease, NeuroImage, vol.25, issue.1, pp.141-58, 2005.
DOI : 10.1016/j.neuroimage.2004.10.044

URL : https://hal.archives-ouvertes.fr/hal-00260264/file/NIMG2005.pdf

J. Mcgurk and . Macdonald, Hearing lips and seeing voices, Nature, vol.65, issue.5588, pp.746-754, 1976.
DOI : 10.1038/264746a0

. Mercier, C. Schwartz, O. Michel, and . Blanke, Motion direction tuning in human visual cortex, European Journal of Neuroscience, vol.58, issue.Pt 5, pp.424-458, 2009.
DOI : 10.1111/j.1460-9568.2008.06583.x

M. Ma and B. Stein, Spatial determinants of multisensory integration in cat superior colliculus neurons, J Neurophysiol, vol.75, issue.5, pp.1843-57, 1996.

. Kj-miller, C. Hermes, . Honey, . Sharma, . Rao et al., Dynamic Modulation of Local Population Activity by Rhythm Phase in Human Occipital Cortex During a Visual Search Task, Frontiers in Human Neuroscience, vol.4, issue.10, p.197, 2010.
DOI : 10.3389/fnhum.2010.00197

D. Mitchel and . Weiss, Learning across senses: Cross-modal effects in multisensory statistical learning., Journal of Experimental Psychology: Learning, Memory, and Cognition, vol.37, issue.5, pp.1081-91, 2011.
DOI : 10.1037/a0023700

. Montez, . Ss-poil, . Jones, . Manshanden, . Verbunt et al., Altered temporal correlations in parietal alpha and prefrontal theta oscillations in early-stage Alzheimer disease, Proceedings of the National Academy of Sciences, vol.106, issue.5, pp.1614-1623, 2009.
DOI : 10.1073/pnas.0811699106

. Monto, J. Palva, J. Voipio, and . Palva, Very Slow EEG Fluctuations Predict the Dynamics of Stimulus Detection and Oscillation Amplitudes in Humans, Journal of Neuroscience, vol.28, issue.33, pp.8268-72, 2008.
DOI : 10.1523/JNEUROSCI.1910-08.2008

. Morrone and . Mc-morrone, Brain Development: Critical Periods for Cross-Sensory Plasticity, Current Biology, vol.20, issue.21, pp.934-940, 2010.
DOI : 10.1016/j.cub.2010.09.052

R. Mosher, P. Leahy, and . Lewis, EEG and MEG: forward solutions for inverse methods, IEEE Transactions on Biomedical Engineering, vol.46, issue.3, pp.245-59, 1999.
DOI : 10.1109/10.748978

S. Moutoussis and . Zeki, A direct demonstration of perceptual asynchrony in vision, Proceedings of the Royal Society B: Biological Sciences, vol.264, issue.1380, pp.393-402, 1997.
DOI : 10.1098/rspb.1997.0056

W. Ja-movshon and . Newsome, Visual response properties of striate cortical neurons projecting to area MT in macaque monkeys, J Neurosci, vol.16, issue.23, pp.7733-7774, 1996.

L. Murray and . Spierer, Auditory spatio-temporal brain dynamics and their consequences for multisensory interactions in humans, Hearing Research, vol.258, issue.1-2, pp.121-154, 2009.
DOI : 10.1016/j.heares.2009.04.022

. Nakamura, Human V5 demonstrated by magnetoencephalography using random dot kinematograms of different coherence levels, Neuroscience Research, vol.46, issue.4, pp.423-456, 2003.
DOI : 10.1016/S0168-0102(03)00119-6

. Noesselt, M. Jw-rieger, . Schoenfeld, . Kanowski, . Hinrichs et al., Audiovisual Temporal Correspondence Modulates Human Multisensory Superior Temporal Sulcus Plus Primary Sensory Cortices, Journal of Neuroscience, vol.27, issue.42, pp.11431-11472, 2007.
DOI : 10.1523/JNEUROSCI.2252-07.2007

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2957075

Y. Noguchi, . Kaneoke, H. Kakigi, N. Tanabe, and . Sadato, Role of the Superior Temporal Region in Human Visual Motion Perception, Cerebral Cortex, vol.15, issue.10, pp.1592-601, 2005.
DOI : 10.1093/cercor/bhi037

. Novikov, D. Novikov, B. Shannahoff-khalsa, J. Schwartz, and . Wright, Scale-similar activity in the brain, Physical Review E, vol.56, issue.3, pp.2387-2396, 1997.
DOI : 10.1103/PhysRevE.56.R2387

. Overath, . Kumar, . Stewart, . Von-kriegstein, . Cusack et al., Cortical Mechanisms for the Segregation and Representation of Acoustic Textures, Journal of Neuroscience, vol.30, issue.6, pp.2070-2076, 2010.
DOI : 10.1523/JNEUROSCI.5378-09.2010

. Palva, . Zhigalov, . Hirvonen, K. Korhonen, S. Linkenkaer-hansen et al., Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws, Proceedings of the National Academy of Sciences, vol.110, issue.9, pp.3585-90, 2013.
DOI : 10.1073/pnas.1216855110

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3587255

. Papo, Why should cognitive neuroscientists study the brain's resting state?, Frontiers in Human Neuroscience, vol.7, issue.2, pp.45-2013, 2013.
DOI : 10.3389/fnhum.2013.00045

R. Leone and . Hamilton, Chapter 27 The metamodal organization of the brain, Prog Brain Res, vol.134, pp.427-472, 2001.
DOI : 10.1016/S0079-6123(01)34028-1

. Pascual-marqui, RD Pascual-Marqui Standardized low resolution brain electromagnetic tomography (sLORETA): technical details, Methods Find Exp Clin Pharmacol, vol.24, pp.5-12, 2002.

. Pelli, The VideoToolbox software for visual psychophysics: transforming numbers into movies, Spatial Vision, vol.10, issue.4, pp.437-479, 1997.
DOI : 10.1163/156856897X00366

. Peng, . Sv-buldyrev, . Havlin, H. Simons, A. Stanley et al., Mosaic organization of DNA nucleotides, Physical Review E, vol.49, issue.2, pp.1685-1694, 1994.
DOI : 10.1103/PhysRevE.49.1685

. Petermann, M. Tc-thiagarajan, . Lebedev, D. Ma-nicolelis, D. Chialvo et al., Spontaneous cortical activity in awake monkeys composed of neuronal avalanches, Proceedings of the National Academy of Sciences, vol.106, issue.37, pp.15921-15947, 2009.
DOI : 10.1073/pnas.0904089106

C. Pitzalis, . Bozzacchi, . Bultrini, C. Fattori, F. Galletti et al., Parallel motion signals to the medial and lateral motion areas V6 and MT+, NeuroImage, vol.67, pp.89-100, 2013.
DOI : 10.1016/j.neuroimage.2012.11.022

T. Plenz and . Thiagarajan, The organizing principles of neuronal avalanches: cell assemblies in the cortex?, Trends in Neurosciences, vol.30, issue.3, pp.101-111, 2007.
DOI : 10.1016/j.tins.2007.01.005

. Ss-poil, H. Hardstone, K. Mansvelder, and . Linkenkaer-hansen, Critical-State Dynamics of Avalanches and Oscillations Jointly Emerge from Balanced Excitation/Inhibition in Neuronal Networks, Journal of Neuroscience, vol.32, issue.29, pp.9817-9840, 2012.
DOI : 10.1523/JNEUROSCI.5990-11.2012

. Poirier, A. Collignon, . Devolder, . Renier, D. Vanlierde et al., Specific activation of the V5 brain area by auditory motion processing: An fMRI study, Cognitive Brain Research, vol.25, issue.3, pp.650-658, 2005.
DOI : 10.1016/j.cogbrainres.2005.08.015

. Poirier, C. Collignon, . Scheiber, . Renier, . Vanlierde et al., Auditory motion perception activates visual motion areas in early blind subjects, NeuroImage, vol.31, issue.1, pp.279-85, 2006.
DOI : 10.1016/j.neuroimage.2005.11.036

. Popivanov, V. Jivkova, G. Stomonyakov, and . Nicolova, Effect of independent component analysis on multifractality of EEG during visual-motor task, Signal Processing, vol.85, issue.11, pp.2112-2135, 2005.
DOI : 10.1016/j.sigpro.2005.07.005

. Popivanov, . Stomonyakov, . Minchev, . Jivkova, . Dojnov et al., Multifractality of decomposed EEG during imaginary and real visual-motor tracking, Biological Cybernetics, vol.8, issue.4, pp.149-56, 2006.
DOI : 10.1007/s00422-005-0037-5

M. Ar-powers, M. Hevey, and . Wallace, Neural Correlates of Multisensory Perceptual Learning, Journal of Neuroscience, vol.32, issue.18, pp.6263-74, 2012.
DOI : 10.1523/JNEUROSCI.6138-11.2012

J. Proekt, A. Banavar, D. Maritan, and . Pfaff, Scale invariance in the dynamics of spontaneous behavior, Proceedings of the National Academy of Sciences, vol.109, issue.26, pp.10564-10573
DOI : 10.1073/pnas.1206894109

. Proulx, . Dj-brown, P. Pasqualotto, and . Meijer, Multisensory perceptual learning and sensory substitution, Neuroscience & Biobehavioral Reviews, vol.41, issue.87, pp.14-88, 2012.
DOI : 10.1016/j.neubiorev.2012.11.017

. Me-raichle, . Macleod, . Snyder, . Powers, G. Da-gusnard et al., A default mode of brain function, Proceedings of the National Academy of Sciences, vol.98, issue.2, pp.676-82, 2001.
DOI : 10.1073/pnas.98.2.676

B. Jp-rauschecker and . Tian, Mechanisms and streams for processing of "what" and "where" in auditory cortex, Proceedings of the National Academy of Sciences, vol.97, issue.22, pp.11800-11806, 2000.
DOI : 10.1073/pnas.97.22.11800

. Ricciardi, . Vanello, C. Sani, . Gentili, . Scilingo et al., The Effect of Visual Experience on the Development of Functional Architecture in hMT+, Cerebral Cortex, vol.17, issue.12, pp.2933-2942, 2007.
DOI : 10.1093/cercor/bhm018

P. Ricciardi and . Pietrini, New light from the dark, Current Opinion in Neurology, vol.24, issue.4, pp.357-63, 2011.
DOI : 10.1097/WCO.0b013e328348bdbf

. Ricciardi, S. Bonino, P. Pellegrini, and . Pietrini, Mind the blind brain to understand the sighted one! Is there a supramodal cortical functional architecture?, Neuroscience & Biobehavioral Reviews, vol.41, 2013.
DOI : 10.1016/j.neubiorev.2013.10.006

. Rodriguez, . George, . Lachaux, . Martinerie, F. Renault et al., Perception ' s shadow : long-distance synchronization of human brain activity, Nature, vol.397, issue.148, pp.430-433, 1999.

A. Roe, . Chelazzi, . Connor, . Conway, . Fujita et al., Toward a Unified Theory of Visual Area V4, Neuron, vol.74, issue.1, pp.12-29, 2012.
DOI : 10.1016/j.neuron.2012.03.011

. Lm-romanski, Domain specificity in the primate prefrontal cortex, Cognitive, Affective, & Behavioral Neuroscience, vol.4, issue.4, pp.421-430, 2004.
DOI : 10.3758/CABN.4.4.421

. Lm-romanski, Representation and Integration of Auditory and Visual Stimuli in the Primate Ventral Lateral Prefrontal Cortex, Cerebral Cortex, vol.17, issue.suppl 1, pp.61-70, 2007.
DOI : 10.1093/cercor/bhm099

J. Lm-romanski and . Hwang, Timing of audiovisual inputs to the prefrontal cortex and multisensory integration, Neuroscience, vol.214, pp.36-48, 2012.
DOI : 10.1016/j.neuroscience.2012.03.025

D. La-ross, . Saint-amour, D. Vm-leavitt, J. Javitt, and . Foxe, Do You See What I Am Saying? Exploring Visual Enhancement of Speech Comprehension in Noisy Environments, Cerebral Cortex, vol.17, issue.5, pp.1147-53, 2007.
DOI : 10.1093/cercor/bhl024

A. Pj-rousseeuw and . Leroy, Robust regression and outlier detection, 1987.
DOI : 10.1002/0471725382

G. Sadaghiani, A. Hesselmann, and . Kleinschmidt, Distributed and Antagonistic Contributions of Ongoing Activity Fluctuations to Auditory Stimulus Detection, Journal of Neuroscience, vol.29, issue.42, pp.13410-13417, 2009.
DOI : 10.1523/JNEUROSCI.2592-09.2009

. Sadaghiani, K. Hesselmann, A. Friston, and . Kleinschmidt, The relation of ongoing brain activity, evoked neural responses, and cognition, Frontiers in Systems Neuroscience, vol.4, issue.1, pp.94-95, 2010.
DOI : 10.3389/fnsys.2010.00020

N. Sadato, J. Pascual-leone, . Grafman, . Ibañez, G. Mp-deiber et al., Activation of the primary visual cortex by Braille reading in blind subjects, Nature, vol.380, issue.6574, pp.526-534, 1996.
DOI : 10.1038/380526a0

T. Sadato, . Okada, K. Honda, . Matsuki, K. Yoshida et al., Cross-modal integration and plastic changes revealed by lip movement, random-dot motion and sign languages in the hearing and deaf, Cerebral Cortex, vol.15, issue.8, pp.1113-1135, 2005.
DOI : 10.1093/cercor/bhh210

L. Saenz, A. Lewis, and . Huth, Visual Motion Area MT+/V5 Responds to Auditory Motion in Human Sight-Recovery Subjects, Journal of Neuroscience, vol.28, issue.20, pp.5141-5149, 2008.
DOI : 10.1523/JNEUROSCI.0803-08.2008

. Sakagami, K. Tsutsui, . Lauwereyns, S. Koizumi, O. Kobayashi et al., A code for behavioral inhibition on the basis of color, but not motion, in ventrolateral prefrontal cortex of macaque monkey, J Neurosci, vol.21, issue.13, pp.4801-4809, 2001.

. Sala-llonch-2012-]-r-sala-llonch, E. Gómez, D. Arenaza-urquijo, N. Vidal-piñeiro, C. Bargalló et al., Brain connectivity during resting state and subsequent working memory task predicts behavioural performance, Cortex, vol.48, issue.9, pp.1187-96
DOI : 10.1016/j.cortex.2011.07.006

M. Samorodnitsky and . Taqqu, Stable non-Gaussian random processes. Chapman and Hall, 1994.

G. D. Sapir, . Avossa, G. Mcavoy, M. Shulman, and . Corbetta, Brain signals for spatial attention predict performance in a motion discrimination task, Proceedings of the National Academy of Sciences, vol.102, issue.49, pp.17810-17815, 2005.
DOI : 10.1073/pnas.0504678102

J. Sasaki, T. Nanez, and . Watanabe, Advances in visual perceptual learning and plasticity, Nature Reviews Neuroscience, vol.44, issue.1, pp.53-60, 2010.
DOI : 10.1038/nrn2737

M. Savitzky and . Golay, Smoothing and Differentiation of Data by Simplified Least Squares Procedures., Analytical Chemistry, vol.36, issue.8, pp.1627-1666, 1964.
DOI : 10.1021/ac60214a047

L. Scheef, . Boecker, . Daamen, . Fehse, . Landsberg et al., Multimodal motion processing in area V5/MT: Evidence from an artificial class of audio-visual events, Brain Research, vol.1252, issue.66, pp.94-104, 2009.
DOI : 10.1016/j.brainres.2008.10.067

. Schroeder, Y. Lakatos, S. Kajikawa, A. Partan, and . Puce, Neuronal oscillations and visual amplification of speech, Trends in Cognitive Sciences, vol.12, issue.3, pp.106-119, 2008.
DOI : 10.1016/j.tics.2008.01.002

F. Schwartz, C. Berthommier, and . Savariaux, Seeing to hear better: evidence for early audio-visual interactions in speech identification, Cognition, vol.93, issue.2, pp.69-78, 2004.
DOI : 10.1016/j.cognition.2004.01.006

URL : https://hal.archives-ouvertes.fr/hal-00186797

T. Seitz and . Watanabe, A unified model for perceptual learning, Trends in Cognitive Sciences, vol.9, issue.7, pp.329-363, 2005.
DOI : 10.1016/j.tics.2005.05.010

. Seitz, . Nanez, S. Holloway, T. Koyama, and . Watanabe, Seeing what is not there shows the costs of perceptual learning, Proceedings of the National Academy of Sciences, vol.102, issue.25, pp.9080-9085, 2005.
DOI : 10.1073/pnas.0501026102

R. Seitz, L. Kim, and . Shams, Sound Facilitates Visual Learning, Current Biology, vol.16, issue.14, pp.1422-1429, 2006.
DOI : 10.1016/j.cub.2006.05.048

URL : http://doi.org/10.1016/j.cub.2006.05.048

. Seitz, V. Kim, L. Van-wassenhove, and . Shams, Simultaneous and Independent Acquisition of Multisensory and Unisensory Associations, Perception, vol.48, issue.10, pp.1445-53, 2007.
DOI : 10.1068/p5843

T. Seitz and . Watanabe, The phenomenon of task-irrelevant perceptual learning, Vision Research, vol.49, issue.21, pp.2604-2614, 2009.
DOI : 10.1016/j.visres.2009.08.003

. Serletis, T. Bl-bardakjian, P. Valiante, and . Carlen, Complexity and multifractality of neuronal noise in mouse and human hippocampal epileptiform dynamics, Journal of Neural Engineering, vol.9, issue.5, pp.56008-97, 2012.
DOI : 10.1088/1741-2560/9/5/056008

R. Aaron and . Seitz, Benefits of multisensory learning, Trends Cogn Sci, vol.12, issue.11, pp.411-417, 2008.

R. Shams and . Kim, Crossmodal influences on visual perception, Physics of Life Reviews, vol.7, issue.3, pp.269-84, 2010.
DOI : 10.1016/j.plrev.2010.04.006

T. Shibata, Y. Watanabe, M. Sasaki, and . Kawato, Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation, Science, vol.334, issue.6061, pp.1413-1418, 2011.
DOI : 10.1126/science.1212003

. Shimizu, C. Barth, E. Windischberger, S. Moser, and . Thurner, Wavelet-based multifractal analysis of fMRI time series, NeuroImage, vol.22, issue.3, pp.1195-202, 2004.
DOI : 10.1016/j.neuroimage.2004.03.007

T. Siegel, A. Donner, and . Engel, Spectral fingerprints of largescale neuronal interactions, Nat Rev Neurosci, vol.13, issue.2, pp.20-25, 2012.

. Smit, . Ejc-de-geus, . Me-van-de-nieuwenhuijzen, . Van-beijsterveldt, . Van-baal et al., Scale-Free Modulation of Resting-State Neuronal Oscillations Reflects Prolonged Brain Maturation in Humans, Journal of Neuroscience, vol.31, issue.37, pp.13128-13164, 2011.
DOI : 10.1523/JNEUROSCI.1678-11.2011

. Song, . Kanai, . Fleming, D. Weil, G. Schwarzkopf et al., Relating inter-individual differences in metacognitive performance on different perceptual tasks, Consciousness and Cognition, vol.20, issue.4, pp.1787-92, 2011.
DOI : 10.1016/j.concog.2010.12.011

I. Pt-sowden, P. Davies, and . Roling, Perceptual learning of the detection of features in X-ray images: A functional role for improvements in adults' visual sensitivity?, Journal of Experimental Psychology: Human Perception and Performance, vol.26, issue.1, pp.379-90, 2000.
DOI : 10.1037/0096-1523.26.1.379

E. Stam and . De-bruin, Scale-free dynamics of global functional connectivity in the human brain, Human Brain Mapping, vol.2, issue.2, pp.97-109, 2004.
DOI : 10.1002/hbm.20016

. Cj-stam, . Jones, . Manshanden, . Van-cappellen-van-walsum, . Montez et al., Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease, NeuroImage, vol.32, issue.3, pp.1335-1379, 2006.
DOI : 10.1016/j.neuroimage.2006.05.033

M. Stein and . Meredith, The merging of the senses, 1993.

R. Stevens, D. Buckner, and . Schacter, Correlated Low-Frequency BOLD Fluctuations in the Resting Human Brain Are Modulated by Recent Experience in Category-Preferential Visual Regions, Cerebral Cortex, vol.20, issue.8, pp.1997-2006, 2010.
DOI : 10.1093/cercor/bhp270

L. Stickgold, J. James, and . Hobson, Visual discrimination learning requires sleep after training, Nature Neuroscience, vol.3, issue.12, pp.1237-1245, 2000.
DOI : 10.1038/81756

O. Striem-amit, L. Dakwar, A. Reich, and . Amedi, The large-Scale Organization of "Visual" Streams Emerges Without Visual Experience, Cerebral Cortex, vol.22, issue.7, pp.1698-709
DOI : 10.1093/cercor/bhr253

. Suckling, . Wink, A. Bernard, E. Barnes, and . Bullmore, Endogenous multifractal brain dynamics are modulated by age, cholinergic blockade and cognitive performance, Journal of Neuroscience Methods, vol.174, issue.2, pp.292-300, 2008.
DOI : 10.1016/j.jneumeth.2008.06.037

. Sugihara, . Diltz, L. Averbeck, and . Romanski, Integration of Auditory and Visual Communication Information in the Primate Ventrolateral Prefrontal Cortex, Journal of Neuroscience, vol.26, issue.43, pp.11138-11185, 2006.
DOI : 10.1523/JNEUROSCI.3550-06.2006

D. Sk-swaminathan and . Freedman, Preferential encoding of visual categories in parietal cortex compared with prefrontal cortex, Nature Neuroscience, vol.23, issue.2, pp.315-335, 2012.
DOI : 10.1038/nn.3016

. Tagliazucchi, . Wegner, . Morzelewski, K. Brodbeck, H. Jahnke et al., Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep, Proceedings of the National Academy of Sciences, vol.110, issue.38, pp.15419-15443, 2013.
DOI : 10.1073/pnas.1312848110

O. Baudry and . Bertrand, Oscillatory gamma activity in humans and its role in object representation, Trends in Cognitive Sciences, vol.3, issue.4, pp.151-62, 1999.
DOI : 10.1016/S1364-6613(99)01299-1

D. Talsma, M. Senkowski, and . Woldorff, Intermodal attention affects the processing of the temporal alignment of audiovisual stimuli, Experimental Brain Research, vol.82, issue.3, pp.313-341, 2009.
DOI : 10.1007/s00221-009-1858-6

. Talsma, S. Senkowski, M. Soto-faraco, and . Woldorff, The multifaceted interplay between attention and multisensory integration, Trends in Cognitive Sciences, vol.14, issue.9, pp.400-410, 2010.
DOI : 10.1016/j.tics.2010.06.008

N. Tambini, L. Ketz, and . Davachi, Enhanced Brain Correlations during Rest Are Related to Memory for Recent Experiences, Neuron, vol.65, issue.2, pp.280-90, 2010.
DOI : 10.1016/j.neuron.2010.01.001

M. Hc-tanabe, N. Honda, and . Sadato, Functionally Segregated Neural Substrates for Arbitrary Audiovisual Paired-Association Learning, Journal of Neuroscience, vol.25, issue.27, pp.6409-6427, 2005.
DOI : 10.1523/JNEUROSCI.0636-05.2005

M. Taulu, J. Kajola, and . Simola, Suppression of Interference and Artifacts by the Signal Space Separation Method, Brain Topography, vol.16, issue.4, pp.269-75, 2004.
DOI : 10.1023/B:BRAT.0000032864.93890.f9

J. Taulu and . Simola, Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements, Physics in Medicine and Biology, vol.51, issue.7, pp.1759-68, 2006.
DOI : 10.1088/0031-9155/51/7/008

R. Taulu and . Hari, Removal of magnetoencephalographic artifacts with temporal signal-space separation: Demonstration with single-trial auditory-evoked responses, Human Brain Mapping, vol.25, issue.5, pp.1524-1558, 2009.
DOI : 10.1002/hbm.20627

. Teki, . Chait, K. Kumar, T. Von-kriegstein, and . Griffiths, Brain Bases for Auditory Stimulus-Driven Figure-Ground Segregation, Journal of Neuroscience, vol.31, issue.1, pp.164-71, 2011.
DOI : 10.1523/JNEUROSCI.3788-10.2011

K. Thiele, T. Dobkins, and . Albright, Neural Correlates of Chromatic Motion Perception, Neuron, vol.32, issue.2, pp.351-359, 2001.
DOI : 10.1016/S0896-6273(01)00463-9

D. Tolkunov, L. Rubin, and . Mujica-parodi, Power spectrum scale invariance quantifies limbic dysregulation in trait anxious adults using fMRI: Adapting methods optimized for characterizing autonomic dysregulation to neural dynamic time series, NeuroImage, vol.50, issue.1, pp.72-80, 2010.
DOI : 10.1016/j.neuroimage.2009.12.021

. Tootell, . Jb-reppas, . Kwong, . Malach, . Rt-born et al., Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging, J Neurosci, vol.15, issue.4, pp.3215-3245, 1995.

Y. Tsushima, T. Sasaki, and . Watanabe, Greater Disruption Due to Failure of Inhibitory Control on an Ambiguous Distractor, Science, vol.314, issue.5806, pp.1786-1794, 2006.
DOI : 10.1126/science.1133197

M. Ungerleider and . Mishkin, Two cortical visual systems, pp.63-66, 1982.

J. Lg-ungerleider and . Haxby, 'What' and 'where' in the human brain, Current Opinion in Neurobiology, vol.4, issue.2, pp.157-65, 1994.
DOI : 10.1016/0959-4388(94)90066-3

R. Ma-uusitalo and . Ilmoniemi, Signal-space projection method for separating MEG or EEG into components, Medical & Biological Engineering & Computing, vol.7, issue.Suppl. A, pp.135-175, 1997.
DOI : 10.1007/BF02534144

D. Van-de-ville, J. Britz, and C. Michel, EEG microstate sequences in healthy humans at rest reveal scale-free dynamics, Proceedings of the National Academy of Sciences, vol.107, issue.42, pp.18179-84, 2010.
DOI : 10.1073/pnas.1007841107

. Bdd-van-veen, M. Van-drongelen, A. Yuchtman, and . Suzuki, Localization of brain electrical activity via linearly constrained minimum variance spatial filtering, IEEE Transactions on Biomedical Engineering, vol.44, issue.9, pp.867-80, 1997.
DOI : 10.1109/10.623056

S. Van-wassenhove and . Nagarajan, Auditory Cortical Plasticity in Learning to Discriminate Modulation Rate, Journal of Neuroscience, vol.27, issue.10, pp.2663-72, 2007.
DOI : 10.1523/JNEUROSCI.4844-06.2007

V. Van-wassenhove, . Ghazanfar, C. Munhall, G. Schroeder, and . Hall, Bridging the gap between human and nonhuman studies of audiovisual integration The New Handbook of Multisensory Processing, chapitre II, pp.153-2012

. Varela, E. Lachaux, J. Rodriguez, and . Martinerie, The brainweb : Phase synchronization and large-scale integration, Nature Reviews Neuroscience, vol.2, issue.4, pp.229-268, 2001.
DOI : 10.1038/35067550

P. Veitch and . Abry, A wavelet-based joint estimator of the parameters of long-range dependence, IEEE Transactions on Information Theory, vol.45, issue.3, pp.878-97, 1999.
DOI : 10.1109/18.761330

C. Viviani and . Aymoz, Colour, form, and movement are not perceived simultaneously, Vision Research, vol.41, issue.22, pp.2909-2927, 2001.
DOI : 10.1016/S0042-6989(01)00160-2

URL : http://doi.org/10.1016/s0042-6989(01)00160-2

A. Kriegstein and . Giraud, Implicit Multisensory Associations Influence Voice Recognition, PLoS Biology, vol.2, issue.10, p.326, 2006.
DOI : 10.1371/journal.pbio.0040326.sv002

U. Saldern and . Noppeney, Sensory and Striatal Areas Integrate Auditory and Visual Signals into Behavioral Benefits during Motion Discrimination, Journal of Neuroscience, vol.33, issue.20, pp.8841-8850, 2013.
DOI : 10.1523/JNEUROSCI.3020-12.2013

R. Voss and . Zatorre, Organization and Reorganization of Sensory-Deprived Cortex, Current Biology, vol.22, issue.5, pp.168-73, 2012.
DOI : 10.1016/j.cub.2012.01.030

J. Watanabe, Y. Nanez, and . Sasaki, Perceptual learning without perception, Journal of Vision, vol.1, issue.3, pp.844-852, 2001.
DOI : 10.1167/1.3.467

URL : http://doi.org/10.1167/1.3.467

. Watanabe, . Nanez, . Koyama, J. Mukai, Y. Liederman et al., Greater plasticity in lower-level than higher-level visual motion processing in a passive perceptual learning task, Nature Neuroscience, vol.30, issue.10, pp.1003-1012, 2002.
DOI : 10.1038/nn915

. Jdg-watson, . Myers, . Frackowiak, . Hajnal, J. Woods et al., Area V5 of the Human Brain: Evidence from a Combined Study Using Positron Emission Tomography and Magnetic Resonance Imaging, Cerebral Cortex, vol.3, issue.2, pp.79-94, 1993.
DOI : 10.1093/cercor/3.2.79

. Weisberg, Outliers and Influence, Applied Linear Regression, pp.194-210, 2005.
DOI : 10.1002/0471704091.ch9

. Weiss, . Clemens, Z. Bódizs, P. Vágó, and . Halász, Spatio-temporal analysis of monofractal and multifractal properties of the human sleep EEG, Journal of Neuroscience Methods, vol.185, issue.1, 2009.
DOI : 10.1016/j.jneumeth.2009.07.027

P. Wendt, S. Abry, and . Jaffard, Bootstrap for Empirical Multifractal Analysis, IEEE Signal Processing Magazine, vol.24, issue.4, pp.38-48, 2007.
DOI : 10.1109/MSP.2007.4286563

. Wendt, S. Sg-roux, P. Jaffard, and . Abry, Wavelet leaders and bootstrap for multifractal analysis of images, Signal Processing, vol.89, issue.6, pp.1100-1114, 2009.
DOI : 10.1016/j.sigpro.2008.12.015

URL : https://hal.archives-ouvertes.fr/ensl-00365041

. Wendt, P. Scherrer, S. Abry, and . Achard, Testing fractal connectivity in multivariate long memory processes, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2913-2929, 2009.
DOI : 10.1109/ICASSP.2009.4960233

URL : https://hal.archives-ouvertes.fr/ensl-00362174

. Werner, Brain dynamics across levels of organization, Journal of Physiology-Paris, vol.101, issue.4-6, pp.273-79, 2008.
DOI : 10.1016/j.jphysparis.2007.12.001

U. Werner and . Noppeney, Distinct Functional Contributions of Primary Sensory and Association Areas to Audiovisual Integration in Object Categorization, Journal of Neuroscience, vol.30, issue.7, pp.2662-75, 2010.
DOI : 10.1523/JNEUROSCI.5091-09.2010

N. Fa-wichmann and . Hill, The psychometric function: I. Fitting, sampling, and goodness of fit, Perception & Psychophysics, vol.63, issue.8, pp.1293-313, 2001.
DOI : 10.3758/BF03194544

. Wierzcho?, . Asanowicz, A. Paulewicz, and . Cleeremans, Subjective measures of consciousness in artificial grammar learning task, Consciousness and Cognition, vol.21, issue.3, pp.1141-53, 2012.
DOI : 10.1016/j.concog.2012.05.012

. Am-wink, . Bullmore, F. Barnes, J. Bernard, and . Suckling, Monofractal and multifractal dynamics of low frequency endogenous brain oscillations in functional MRI, Human Brain Mapping, vol.5, issue.7, pp.791-801, 2008.
DOI : 10.1002/hbm.20593

J. Zeki, R. Watson, and . Frackowiak, Going beyond the Information Given: The Relation of Illusory Visual Motion to Brain Activity, Proceedings of the Royal Society B: Biological Sciences, vol.252, issue.1335, pp.215-237, 1993.
DOI : 10.1098/rspb.1993.0068

K. Zeki and . Moutoussis, Temporal hierarchy of the visual perceptive systems in the Mondrian world, Proceedings of the Royal Society B: Biological Sciences, vol.264, issue.1387, pp.1415-1424, 1997.
DOI : 10.1098/rspb.1997.0197

J. Zeki and . Stutters, Functional specialization and generalization for grouping of stimuli based on colour and motion, NeuroImage, vol.73, pp.156-66, 2013.
DOI : 10.1016/j.neuroimage.2013.02.001