G. Aguirre, E. Zarahn, D. Esposito, and M. , An Area within Human Ventral Cortex Sensitive to ???Building??? Stimuli, Neuron, vol.21, issue.2, pp.373-383, 1998.
DOI : 10.1016/S0896-6273(00)80546-2

URL : http://doi.org/10.1016/s0896-6273(00)80546-2

T. Allison, A. Puce, D. Spencer, and G. Mccarthy, Electrophysiological studies of human face perception, 1999.

C. Büchel and K. Friston, Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI, Cerebral Cortex, vol.7, issue.8, pp.768-778, 1997.
DOI : 10.1093/cercor/7.8.768

A. Brovelli, M. Ding, A. Ledberg, Y. Chen, R. Nakamura et al., Beta oscillations in a large-scale sensorimotor cortical network: Directional influences revealed by Granger causality, Proceedings of the National Academy of Sciences, vol.101, issue.26, pp.9849-54, 2004.
DOI : 10.1073/pnas.0308538101

F. Crick and C. Koch, Constraints on cortical and thalamic projections: the no-strong-loops hypothesis, Nature, vol.391, issue.6664, pp.245-250, 1998.
DOI : 10.1038/34584

T. Dau, The importance of cochlear processing for the formation of auditory brainstem and frequency following responses, The Journal of the Acoustical Society of America, vol.113, issue.2, pp.936-50, 2003.
DOI : 10.1121/1.1534833

O. David, L. Garnero, D. Cosmelli, and F. Varela, Estimation of neural dynamics from MEG/EEG cortical current density maps: application to the reconstruction of large-scale cortical synchrony, IEEE Transactions on Biomedical Engineering, vol.49, issue.9, pp.975-987, 2002.
DOI : 10.1109/TBME.2002.802013

O. David and K. Friston, A neural mass model for MEG/EEG:, NeuroImage, vol.20, issue.3, 2003.
DOI : 10.1016/j.neuroimage.2003.07.015

O. David, L. Harrison, and K. Friston, Modelling event-related responses in the brain, NeuroImage, vol.25, issue.3, pp.756-770, 2005.
DOI : 10.1016/j.neuroimage.2004.12.030

URL : https://hal.archives-ouvertes.fr/inserm-00391142

S. Debener, C. Kranczioch, C. Herrmann, and A. Engel, Auditory novelty oddball allows reliable distinction of top???down and bottom???up processes of attention, International Journal of Psychophysiology, vol.46, issue.1, pp.77-84, 2002.
DOI : 10.1016/S0167-8760(02)00072-7

A. Engel, P. Fries, and W. Singer, Dynamic predictions: Oscillations and synchrony in top???down processing, Nature Reviews Neuroscience, vol.51, issue.10, pp.704-716, 2001.
DOI : 10.1038/35094565

R. Epstein and N. Kanwisher, A cortical representation of the local visual environment, Nature, vol.392, issue.6676, pp.598-601, 1998.
DOI : 10.1038/33402

D. Felleman and D. Van-essen, Distributed Hierarchical Processing in the Primate Cerebral Cortex, Cerebral Cortex, vol.1, issue.1, 1991.
DOI : 10.1093/cercor/1.1.1

K. Friston, Bayesian Estimation of Dynamical Systems: An Application to fMRI, NeuroImage, vol.16, issue.2, pp.513-530, 2002.
DOI : 10.1006/nimg.2001.1044

K. Friston, L. Harrison, and W. Penny, Dynamic causal modelling, NeuroImage, vol.19, issue.4, pp.1273-1302, 2003.
DOI : 10.1016/S1053-8119(03)00202-7

URL : https://hal.archives-ouvertes.fr/inserm-00388972

K. Friston, Learning and inference in the brain, Neural Networks, vol.16, issue.9, pp.1325-1352, 2003.
DOI : 10.1016/j.neunet.2003.06.005

R. Grave-de-peralta-menendez and S. Gonzalez-andino, A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problem, IEEE Transactions on Biomedical Engineering, vol.45, issue.4, pp.440-448, 1998.
DOI : 10.1109/10.664200

A. Roebroeck, E. Formisano, and R. Goebel, Mapping directed influence over the brain using Granger causality and fMRI, NeuroImage, vol.25, issue.1, pp.230-242, 2005.
DOI : 10.1016/j.neuroimage.2004.11.017

L. Harrison, W. Penny, and K. Friston, Multivariate autoregressive modeling of fMRI time series, NeuroImage, vol.19, issue.4, 2003.
DOI : 10.1016/S1053-8119(03)00160-5

J. Haxby, M. Gobbini, M. Furey, A. Ishai, J. Schouten et al., Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex, Science, vol.293, issue.5539, pp.2425-2430, 2001.
DOI : 10.1126/science.1063736

J. Haxby, E. Hoffman, and M. Gobbini, Human neural systems for face recognition and social communication, Biological Psychiatry, vol.51, issue.1, pp.59-67, 2002.
DOI : 10.1016/S0006-3223(01)01330-0

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.563.4470

A. Ishai, L. Ungerleider, A. Martin, J. Schouten, and J. Haxby, Distributed representation of objects in the human ventral visual pathway, Proceedings of the National Academy of Sciences, vol.96, issue.16, pp.9379-9384, 1999.
DOI : 10.1073/pnas.96.16.9379

B. Jansen and V. Rit, Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns, Biological Cybernetics, vol.580, issue.4, pp.357-366, 1995.
DOI : 10.1007/BF00199471

J. Kaas and T. Hackett, Subdivisions of auditory cortex and processing streams in primates, Proceedings of the National Academy of Sciences, vol.97, issue.22, pp.11793-11799, 2000.
DOI : 10.1073/pnas.97.22.11793

P. Kloeden and E. Platen, Numerical solution of stochastic differential equations, 1999.

D. Liley, P. Cadusch, and M. Dafilis, A spatially continuous mean field theory of electrocortical activity, Network: Computation in Neural Systems, vol.12, issue.1, pp.67-113, 2002.
DOI : 10.1088/0954-898X/5/2/005

D. Linden, D. Prvulovic, E. Formisano, M. Vollinger, F. Zanella et al., The Functional Neuroanatomy of Target Detection: An fMRI Study of Visual and Auditory Oddball Tasks, Cerebral Cortex, vol.9, issue.8, pp.815-823, 1999.
DOI : 10.1093/cercor/9.8.815

F. Lopes-da-silva, A. Hoeks, H. Smits, and L. Zetterberg, Model of brain rhythmic activity, Kybernetik, vol.1, issue.1, pp.27-37, 1974.
DOI : 10.1007/BF00270757

J. Mangin, V. Frouin, I. Bloch, J. Régis, and J. López-krahe, From 3D magnetic resonance images to structural representations of the cortex topography using topology preserving deformations, Journal of Mathematical Imaging and Vision, vol.44, issue.6, pp.297-318, 1995.
DOI : 10.1007/BF01250286

A. Mcintosh and F. Gonzalez-lima, Network interactions among limbic cortices, basal forebrain, and cerebellum differentiate a tone conditioned as a Pavlovian excitor or inhibitor: fluorodeoxyglucose mapping and covariance structural modeling, J Neurophysiol, vol.72, pp.1717-1733, 1994.

J. Melcher and N. Kiang, Generators of the brainstem auditory evoked potential in cat III: identified cell populations, Hearing Research, vol.93, issue.1-2, pp.52-71, 1996.
DOI : 10.1016/0378-5955(95)00200-6

J. Mosher, R. Leahy, and P. Lewis, EEG and MEG: forward solutions for inverse methods, IEEE Transactions on Biomedical Engineering, vol.46, issue.3, pp.245-259, 1999.
DOI : 10.1109/10.748978

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.475.2799

W. Penny, K. Stephan, A. Mechelli, and K. Friston, Comparing dynamic causal models, NeuroImage, 2004.

W. Press, S. Teukolsky, W. Vetterling, and B. Flannery, Numerical recipes in C, 1992.

C. Rennie, P. Robinson, and J. Wright, Unified neurophysical model of EEG spectra and evoked potentials, Biological Cybernetics, vol.86, issue.6, pp.457-471, 2002.
DOI : 10.1007/s00422-002-0310-9

J. Riera, J. Watanabe, I. Kazuki, M. Naoki, E. Aubert et al., A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals, NeuroImage, vol.21, issue.2, pp.547-567, 2004.
DOI : 10.1016/j.neuroimage.2003.09.052

P. Robinson, C. Rennie, J. Wright, H. Bahramali, E. Gordon et al., Prediction of electroencephalographic spectra from neurophysiology, Physical Review E, vol.63, issue.2, p.21903, 2001.
DOI : 10.1103/PhysRevE.63.021903

P. Robinson, C. Rennie, D. Rowe, O. Connor, and S. , Estimation of multiscale neurophysiologic parameters by electroencephalographic means, Human Brain Mapping, vol.31, issue.1, pp.53-72, 2004.
DOI : 10.1002/hbm.20032

L. Romanski, B. Tian, J. Fritz, M. Mishkin, P. Goldman-rakic et al., Dual streams of auditory afferents target multiple domains in the primate prefrontal cortex, Nature Neuroscience, vol.2, issue.12, pp.1131-1136, 1999.
DOI : 10.1038/16056

M. Rosenblum, A. Pikovsky, J. Kurths, G. Osipov, I. Kiss et al., Locking-Based Frequency Measurement and Synchronization of Chaotic Oscillators with Complex Dynamics, Physical Review Letters, vol.89, issue.26, p.264102, 2002.
DOI : 10.1103/PhysRevLett.89.264102

A. Schnitzler and J. Gross, Normal and pathological oscillatory communication in the brain, Nature Reviews Neuroscience, vol.19, issue.4, 2005.
DOI : 10.1016/0166-2236(90)90110-V

P. Smith and L. Populin, Fundamental differences between the thalamocortical recipient layers of the cat auditory and visual cortices, The Journal of Comparative Neurology, vol.13, issue.4, pp.508-519, 2001.
DOI : 10.1002/cne.1084

C. Stam, J. Pijn, P. Suffczynski, L. Silva, and F. , Dynamics of the human alpha rhythm: evidence for non-linearity?, Clinical Neurophysiology, vol.110, issue.10, pp.1801-1813, 1999.
DOI : 10.1016/S1388-2457(99)00099-1

P. Tass, Transmission of stimulus-locked responses in two oscillators with bistable coupling, Biological Cybernetics, vol.91, issue.4, 2004.
DOI : 10.1007/s00422-004-0512-4

N. Ulanovsky, L. Las, and I. Nelken, Processing of low-probability sounds by cortical neurons, Nature Neuroscience, vol.6, issue.4, pp.391-399, 2003.
DOI : 10.1038/nn1032

P. Vuilleumier, J. Armony, J. Driver, and R. Dolan, Effects of Attention and Emotion on Face Processing in the Human Brain, Neuron, vol.30, issue.3, pp.829-841, 2001.
DOI : 10.1016/S0896-6273(01)00328-2

F. Wendling, F. Bartolomei, J. Bellanger, and P. Chauvel, Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition, European Journal of Neuroscience, vol.38, issue.9, pp.1499-1508, 2002.
DOI : 10.1007/s004220050191