R. D. Airan, E. S. Hu, R. Vijaykumar, M. Roy, L. A. Meltzer et al., Integration of light-controlled neuronal firing and fast circuit imaging, Current Opinion in Neurobiology, vol.17, issue.5, pp.587-92, 2007.
DOI : 10.1016/j.conb.2007.11.003

S. Amari, Dynamics of pattern formation in lateral-inhibition type neural fields, Biological Cybernetics, vol.13, issue.2, 1977.
DOI : 10.1007/BF00337259

M. Beal, Variational algorithms for approximate Bayesian inference, 2003.

M. Breakspear, J. A. Roberts, J. R. Terry, S. Rodrigues, N. Mahant et al., A Unifying Explanation of Primary Generalized Seizures Through Nonlinear Brain Modeling and Bifurcation Analysis, Cerebral Cortex, vol.16, issue.9, pp.1296-1313, 2006.
DOI : 10.1093/cercor/bhj072

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

R. B. Buxton, E. C. Wong, and L. R. Franck, Dynamics of blood flow and oxygenation changes during brain activation: The balloon model, Magnetic Resonance in Medicine, vol.77, issue.6, pp.855-864, 1998.
DOI : 10.1002/mrm.1910390602

C. C. Chen, S. J. Kiebel, and K. J. Friston, Dynamic causal modelling of induced responses, NeuroImage, vol.41, issue.4, pp.1293-1312, 2008.
DOI : 10.1016/j.neuroimage.2008.03.026

J. Chumbley and K. J. Friston, A Metropolis???Hastings algorithm for dynamic causal models, NeuroImage, vol.38, issue.3, pp.478-487, 2007.
DOI : 10.1016/j.neuroimage.2007.07.028

G. C. Daunizeau, G. Marrelec, J. Mattout, S. Jbabdi, M. Pélégrini-issac et al., Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework, NeuroImage, vol.36, issue.1, pp.69-87, 2007.
DOI : 10.1016/j.neuroimage.2007.01.044

URL : https://hal.archives-ouvertes.fr/inserm-00164407

J. Daunizeau, S. J. Kiebel, and K. J. Friston, Dynamic causal modelling of distributed electromagnetic responses, NeuroImage, vol.47, issue.2, pp.590-601, 2009.
DOI : 10.1016/j.neuroimage.2009.04.062

J. Daunizeau, K. J. Friston, and S. J. Kiebel, Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models, Physica D: Nonlinear Phenomena, vol.238, issue.21, pp.2089-2118, 2009.
DOI : 10.1016/j.physd.2009.08.002

URL : http://doi.org/10.1016/j.physd.2009.08.002

O. David and K. J. Friston, A neural mass model for MEG/EEG:, NeuroImage, vol.20, issue.3, pp.1743-1755, 2003.
DOI : 10.1016/j.neuroimage.2003.07.015

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

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

O. David, S. J. Kiebel, L. Harrison, J. Mattout, J. Kilner et al., Dynamic causal modeling of evoked responses in EEG and MEG, NeuroImage, vol.30, issue.4, pp.1255-1272, 2006.
DOI : 10.1016/j.neuroimage.2005.10.045

URL : https://hal.archives-ouvertes.fr/inserm-00388967

O. David, Dynamic Causal Models and Autopoietic Systems, Biological Research, vol.40, issue.4, pp.487-502, 2007.
DOI : 10.4067/S0716-97602007000500010

URL : https://hal.archives-ouvertes.fr/inserm-00381532

O. David, A. Wozniak, L. Minotti, and P. Kahane, Preictal short-term plasticity induced by intracerebral 1??Hz stimulation, NeuroImage, vol.39, issue.4, pp.1633-1646, 2008.
DOI : 10.1016/j.neuroimage.2007.11.005

URL : https://hal.archives-ouvertes.fr/inserm-00381199

D. Ouden, H. E. Daunizeau, J. Roiser, J. Friston, K. J. Stefphan et al., Striatal Prediction Error Modulates Cortical Coupling, Journal of Neuroscience, vol.30, issue.9
DOI : 10.1523/JNEUROSCI.4458-09.2010

G. Deco, V. K. Jirsa, P. Robinson, M. Breakspear, and K. J. Friston, The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields, PLoS Computational Biology, vol.355, issue.2, p.1000092, 2008.
DOI : 10.1371/journal.pcbi.1000092.t001

F. Egan and R. J. Matthews, Doing cognitive neuroscience: a third way, Synthese, vol.153, issue.3, pp.377-391, 2006.
DOI : 10.1007/s11229-006-9098-9

M. Fastenrath, K. J. Friston, and S. J. Kiebel, Dynamical causal modelling for M/EEG: Spatial and temporal symmetry constraints, NeuroImage, vol.44, issue.1, pp.154-163, 2008.
DOI : 10.1016/j.neuroimage.2008.07.041

M. A. Gray, L. Minati, N. A. Harrison, P. J. Gianaros, V. Napadow et al., Physiological recordings: Basic concepts and implementation during functional magnetic resonance imaging, NeuroImage, vol.47, issue.3, pp.1105-1115, 2009.
DOI : 10.1016/j.neuroimage.2009.05.033

URL : http://doi.org/10.1016/j.neuroimage.2009.05.033

M. D. Greicus, B. Krasnow, A. L. Reiss, and V. Menon, Functional connectivity in the resting brain: a network analysis of the default mode hypothesis, Proc. Nat. Acad. Sci, pp.253-528, 2002.

L. Harrison, W. D. Penny, and K. Friston, Multivariate autoregressive modeling of fMRI time series, NeuroImage, vol.19, issue.4, pp.1477-1491, 2003.
DOI : 10.1016/S1053-8119(03)00160-5

B. Horwitz, M. A. Tagamets, and A. R. Mcintosh, Neural modeling, functional brain imaging, and cognition, Trends in Cognitive Sciences, vol.3, issue.3, pp.91-98, 1999.
DOI : 10.1016/S1364-6613(99)01282-6

C. Iadecola and M. Nedergaard, Glial regulation of the cerebral microvasculature, Nature Neuroscience, vol.281, issue.11, 2007.
DOI : 10.1038/nn2003

B. H. Jansen and V. G. 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. C. Magee and D. Johnston, A Synaptically Controlled, Associative Signal for Hebbian Plasticity in Hippocampal Neurons, Science, vol.275, issue.5297, pp.209-213, 1997.
DOI : 10.1126/science.275.5297.209

S. J. Kiebel, O. David, and K. J. Friston, Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization, NeuroImage, vol.30, issue.4, pp.1273-1284, 2006.
DOI : 10.1016/j.neuroimage.2005.12.055

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

S. J. Kiebel, S. Kloppel, N. Weiskopf, and K. J. Friston, Dynamic causal modeling: A generative model of slice timing in fMRI, NeuroImage, vol.34, issue.4, pp.1487-1496, 2007.
DOI : 10.1016/j.neuroimage.2006.10.026

S. J. Kiebel, M. Garrido, and K. J. Friston, Dynamic causal modelling of evoked responses: The role of intrinsic connections, NeuroImage, vol.36, issue.2, pp.332-345, 2007.
DOI : 10.1016/j.neuroimage.2007.02.046

M. E. Larkum, W. Senn, and H. R. Lüscher, Top-down Dendritic Input Increases the Gain of Layer 5 Pyramidal Neurons, Cerebral Cortex, vol.14, issue.10, pp.1059-70, 2005.
DOI : 10.1093/cercor/bhh065

M. London and M. Häusser, DENDRITIC COMPUTATION, Annual Review of Neuroscience, vol.28, issue.1, pp.503-535, 2005.
DOI : 10.1146/annurev.neuro.28.061604.135703

A. C. Marreiros, S. J. Kiebel, and K. J. Friston, Dynamic causal modelling for fMRI: A two-state model, NeuroImage, vol.39, issue.1, pp.269-278, 2008.
DOI : 10.1016/j.neuroimage.2007.08.019

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.1281

A. C. Marreiros, J. Daunizeau, S. Kiebel, and K. J. Friston, Population dynamics: Variance and the sigmoid activation function, NeuroImage, vol.42, issue.1, pp.147-157, 2008.
DOI : 10.1016/j.neuroimage.2008.04.239

A. C. Marreiros, S. J. Kiebel, J. Daunizeau, L. M. Harrison, and K. J. Friston, Population dynamics under the Laplace assumption, NeuroImage, vol.44, issue.3, pp.701-714, 2009.
DOI : 10.1016/j.neuroimage.2008.10.008

D. J. Mckay, A Practical Bayesian Framework for Backpropagation Networks, Neural Computation, vol.4, issue.3, 1992.
DOI : 10.1038/323533a0

A. R. Mcintosh and F. Gonzalez-lima, Structural equation modeling and its application to network analysis in functional brain imaging, Human Brain Mapping, vol.263, issue.1-2, pp.2-22, 1994.
DOI : 10.1002/hbm.460020104

A. R. Mcintosh, Towards a network theory of cognition, Neural Networks, vol.13, issue.8-9, pp.861-870, 2000.
DOI : 10.1016/S0893-6080(00)00059-9

R. J. Moran, S. J. Kiebel, K. E. Stephan, R. B. Reilly, J. Daunizeau et al., A neural mass model of spectral responses in electrophysiology, NeuroImage, vol.37, issue.3, pp.706-720, 2007.
DOI : 10.1016/j.neuroimage.2007.05.032

R. J. Moran, K. E. Stephan, S. J. Kiebel, M. Rombach, W. T. O-'connor et al., Bayesian estimation of synaptic physiology from the spectral responses of neural masses, NeuroImage, vol.42, issue.1, pp.272-284, 2008.
DOI : 10.1016/j.neuroimage.2008.01.025

R. J. Moran, K. E. Stephan, T. Seidenbecher, H. C. Pape, R. J. Dolan et al., Dynamic causal models of steady-state responses, NeuroImage, vol.44, issue.3, pp.796-811, 2009.
DOI : 10.1016/j.neuroimage.2008.09.048

C. Moris and H. Lecar, Voltage oscillations in the barnacle giant muscle fiber, Biophysical Journal, vol.35, issue.1, pp.193-213, 1981.
DOI : 10.1016/S0006-3495(81)84782-0

J. C. Mosher, R. M. Leahy, and P. S. 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

R. Passingham, K. Stephan, and R. Kötter, The anatomical basis of functional localization in the cortex, Nature Reviews Neuroscience, vol.29, issue.8, pp.606-616, 2002.
DOI : 10.1038/nrn893

W. D. Penny, K. E. Stephan, A. Mechelli, and K. J. Friston, Modelling functional integration: a comparison of structural equation and dynamic causal models, NeuroImage, vol.23, pp.264-274, 2004.
DOI : 10.1016/j.neuroimage.2004.07.041

W. D. Penny, K. E. Stephan, A. Mechelli, and K. J. Friston, Comparing dynamic causal models, NeuroImage, vol.22, issue.3, pp.1157-1172, 2004.
DOI : 10.1016/j.neuroimage.2004.03.026

W. Penny, V. Litvak, L. Fuentemilla, E. Duzel, and K. J. Friston, Dynamic Causal Models for phase coupling, Journal of Neuroscience Methods, vol.183, issue.1, pp.19-30, 2009.
DOI : 10.1016/j.jneumeth.2009.06.029

URL : http://doi.org/10.1016/j.jneumeth.2009.06.029

W. Penny, M. Joao, G. Flandin, J. Daunizeau, K. E. Stephan et al., Comparing model families, PLoS Comp Biol

S. Reyt, C. Picq, V. Sinniger, D. Clarençon, B. Bonaz et al., Dynamic Causal Modelling and physiological confounds: A functional MRI study of vagus nerve stimulation, NeuroImage, vol.52, issue.4
DOI : 10.1016/j.neuroimage.2010.05.021

URL : https://hal.archives-ouvertes.fr/inserm-00498678

J. J. Riera, X. Wan, J. C. Jimenez, and R. Kawashima, Nonlinear local electrovascular coupling. I: A theoretical model, Human Brain Mapping, vol.16, issue.11, pp.896-914, 2006.
DOI : 10.1002/hbm.20230

J. J. Riera, A. Schousboe, H. S. Waagepetersen, C. Howarth, and F. Hyder, The microarchitecture of the cerebral cortex: functional neuroimaging models and metabolism, 2008.

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.328.4495

A. Shmuel, M. Augath, A. Oeltermann, and N. K. Logothetis, Negative functional MRI response correlates with decreases in neuronal activity in monkey visual area V1, Nature Neuroscience, vol.33, issue.4, pp.569-77, 2006.
DOI : 10.1038/nn1675

S. G. Solomon, A. G. White, and P. R. Martin, Extraclassical receptive field properties of parvocellular, magnocellular and koniocellular cells in the primate lateral geniculate nucleus, 2002.

R. C. Sotero and N. J. Trujillo-barreto, Biophysical model for integrating neuronal activity, EEG, fMRI and metabolism, NeuroImage, vol.39, issue.1, pp.290-309, 2007.
DOI : 10.1016/j.neuroimage.2007.08.001

H. Soula and C. C. Chow, Stochastic Dynamics of a Finite-Size Spiking Neural Network, Neural Computation, vol.13, issue.1, 2007.
DOI : 10.1162/089976698300017214

URL : https://hal.archives-ouvertes.fr/hal-00759513

K. Stephan, L. Harrison, W. Penny, and K. Friston, Biophysical models of fMRI responses, Current Opinion in Neurobiology, vol.14, issue.5, pp.629-635, 2004.
DOI : 10.1016/j.conb.2004.08.006

K. E. Stephan, N. Weiskopf, P. M. Drysdale, P. A. Robinson, and K. J. Friston, Comparing hemodynamic models with DCM, Comparing hemodynamic models with DCM, pp.387-401, 2007.
DOI : 10.1016/j.neuroimage.2007.07.040

URL : http://doi.org/10.1016/j.neuroimage.2007.07.040

K. E. Stephan, J. J. Riera, G. Deco, and B. Horwitz, The Brain Connectivity Workshops: Moving the frontiers of computational systems neuroscience, NeuroImage, vol.42, issue.1, pp.1-9, 2008.
DOI : 10.1016/j.neuroimage.2008.04.167

K. E. Stephan, L. Kasper, L. Harrison, J. Daunizeau, H. Den-ouden et al., Nonlinear dynamic causal models for fMRI, NeuroImage, vol.42, issue.2, pp.649-662, 2008.
DOI : 10.1016/j.neuroimage.2008.04.262

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2636907

K. E. Stephan, W. D. Penny, J. Daunizeau, R. Moran, and K. J. Friston, Bayesian model selection for group studies, NeuroImage, vol.46, issue.4, pp.1004-1017, 2009.
DOI : 10.1016/j.neuroimage.2009.03.025

K. E. Stephan, K. J. Friston, and C. D. Frith, Dysconnection in Schizophrenia: From Abnormal Synaptic Plasticity to Failures of Self-monitoring, Schizophrenia Bulletin, vol.35, issue.3, pp.509-527, 2009.
DOI : 10.1093/schbul/sbn176

K. E. Stephan, W. D. Penny, R. J. Moran, H. E. Den-ouden, J. Daunizeau et al., Ten simple rules for dynamic causal modelling, Neuroimage
DOI : 10.1016/j.neuroimage.2009.11.015

URL : http://doi.org/10.1016/j.neuroimage.2009.11.015

Y. Gomez, J. Bosch-bayard, F. Carbonell, and T. Ozaki, Model driven EEG/fMRI fusion of brain oscillations, Hum. Brain Mapp, vol.30, issue.9, pp.2701-2721, 2009.

J. S. Yedidia, An idiosyncratic journey beyond mean-field theory, 2000.

S. Zeki and S. Shipp, The functional logic of cortical connections, Nature, vol.335, issue.6188, pp.440-442, 1988.
DOI : 10.1038/335311a0