A. Babajani-feremi and H. Soltanian-zadeh, Multi-area neural mass modeling of EEG and MEG signals, NeuroImage, vol.52, issue.3, pp.793-811, 2010.
DOI : 10.1016/j.neuroimage.2010.01.034

T. Bal and D. A. Mccormick, What Stops Synchronized Thalamocortical Oscillations?, Neuron, vol.17, issue.2, pp.297-308, 1996.
DOI : 10.1016/S0896-6273(00)80161-0

D. S. Bassett and E. T. Bullmore, Human brain networks in health and disease, Current Opinion in Neurology, vol.22, issue.4, pp.340-347, 2009.
DOI : 10.1097/WCO.0b013e32832d93dd

M. Bazhenov, I. Timofeev, M. Steriade, and T. J. Sejnowski, Model of thalamocortical slow-wave sleep oscillations and transitions to activated states, J Neurosci, vol.22, pp.8691-8704, 2002.

M. Breakspear and C. J. Stam, Dynamics of a neural system with a multiscale architecture, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.16, issue.4, pp.1051-1074, 2005.
DOI : 10.1093/cercor/9.4.366

D. Contreras, A. Destexhe, T. J. Sejnowski, and M. Steriade, Control of Spatiotemporal Coherence of a Thalamic Oscillation by Corticothalamic Feedback, Science, vol.274, issue.5288, pp.771-774, 1996.
DOI : 10.1126/science.274.5288.771

D. Cosandier-rimélé, I. Merlet, F. Bartolomei, J. M. Badier, and F. Wendling, Computational Modeling of Epileptic Activity: From Cortical Sources to EEG Signals, Journal of Clinical Neurophysiology, vol.27, issue.6, pp.465-470, 2010.
DOI : 10.1097/WNP.0b013e3182005dcd

O. David, L. Harrison, and K. J. 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

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

A. Delorme and S. Makeig, EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis, Journal of Neuroscience Methods, vol.134, issue.1, pp.9-21, 2004.
DOI : 10.1016/j.jneumeth.2003.10.009

J. D. Drover, N. D. Schiff, and J. D. Victor, Dynamics of coupled thalamocortical modules, Journal of Computational Neuroscience, vol.279, issue.3, pp.605-616, 2010.
DOI : 10.1007/s10827-010-0244-5

B. Efron, Bootstrap Methods: Another Look at the Jackknife, The Annals of Statistics, vol.7, issue.1, pp.1-26, 1979.
DOI : 10.1214/aos/1176344552

A. A. Fingelkurts and A. A. Fingelkurts, Short-Term EEG Spectral Pattern as a Single Event in EEG Phenomenology, The Open Neuroimaging Journal, vol.4, pp.130-156, 2010.
DOI : 10.2174/1874440001004010130

W. J. Freeman, Mass Action in the Nervous System, 1975.

W. J. Freeman, A field-theoretic approach to understanding scale-free neocortical dynamics, Biological Cybernetics, vol.393, issue.35, pp.350-359, 2005.
DOI : 10.1007/s00422-005-0563-1

L. L. Gollo, C. Mirasso, and A. E. Villa, Dynamic control for synchronization of separated cortical areas through thalamic relay, NeuroImage, vol.52, issue.3, pp.947-955, 2010.
DOI : 10.1016/j.neuroimage.2009.11.058
URL : https://hal.archives-ouvertes.fr/inserm-00589330

M. Goodfellow, K. Schindler, and G. Baier, Intermittent spike???wave dynamics in a heterogeneous, spatially extended neural mass model, NeuroImage, vol.55, issue.3, pp.920-932, 2011.
DOI : 10.1016/j.neuroimage.2010.12.074

P. Beim-graben and J. Kurths, Simulating global properties of electroencephalograms with minimal random neural networks, Neurocomputing, vol.71, issue.4-6, pp.999-1007, 2008.
DOI : 10.1016/j.neucom.2007.02.007

R. T. Gray and P. A. Robinson, Stability and structural constraints of random brain networks with excitatory and inhibitory neural populations, Journal of Computational Neuroscience, vol.97, issue.54, pp.81-101, 2009.
DOI : 10.1007/s10827-008-0128-0

L. M. Harrison, O. David, and K. J. Friston, Stochastic models of neuronal dynamics, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.28, issue.1-3, pp.1075-1091, 2005.
DOI : 10.1016/S0303-2647(01)00148-4

S. Hill and A. E. Villa, Dynamic transitions in global network activity influenced by the balance of excitation and inhibition, Network: Computation in Neural Systems, vol.8, issue.2, pp.165-184, 1997.
DOI : 10.1088/0954-898X_8_2_004

D. C. Hoaglin, F. Mosteller, and J. W. Tukey, Understanding robust and exploratory data analysis, 2000.

J. B. Hutchins and S. W. Barger, Why neurons die: Cell death in the nervous system, The Anatomical Record, vol.40, issue.3, pp.79-90, 1998.
DOI : 10.1002/(SICI)1097-0185(199806)253:3<79::AID-AR4>3.0.CO;2-9

J. Iglesias, J. Eriksson, F. Grize, M. Tomassini, and A. E. Villa, Dynamics of pruning in simulated large-scale spiking neural networks, Biosystems, vol.79, issue.1-3, pp.11-20, 2005.
DOI : 10.1016/j.biosystems.2004.09.016
URL : https://hal.archives-ouvertes.fr/inserm-00391011

J. Iglesias and A. E. Villa, Effect of stimulus-driven pruning on the detection of spatiotemporal patterns of activity in large neural networks, Biosystems, vol.89, issue.1-3, pp.287-293, 2007.
DOI : 10.1016/j.biosystems.2006.05.020
URL : https://hal.archives-ouvertes.fr/inserm-00382738

J. Iglesias and A. E. Villa, EMERGENCE OF PREFERRED FIRING SEQUENCES IN LARGE SPIKING NEURAL NETWORKS DURING SIMULATED NEURONAL DEVELOPMENT, International Journal of Neural Systems, vol.18, issue.04, pp.267-277, 2008.
DOI : 10.1142/S0129065708001580
URL : https://hal.archives-ouvertes.fr/inserm-00410488

J. Iglesias and A. E. Villa, Recurrent spatiotemporal firing patterns in large spiking neural networks with ontogenetic and epigenetic processes, Journal of Physiology-Paris, vol.104, issue.3-4, pp.137-146, 2010.
DOI : 10.1016/j.jphysparis.2009.11.016
URL : https://hal.archives-ouvertes.fr/inserm-00527574

G. M. Innocenti, Exuberant development of connections, and its possible permissive role in cortical evolution, Trends in Neurosciences, vol.18, issue.9, pp.397-402, 1995.
DOI : 10.1016/0166-2236(95)93936-R

B. W. Knight, Dynamics of Encoding in Neuron Populations: Some General Mathematical Features, Neural Computation, vol.6, issue.3, pp.473-518, 2000.
DOI : 10.1007/BF00335237

W. Langdon, A. Auger, J. L. Shapiro, L. D. Whitley, and C. Witt, 2-bit flip mutation elementary fitness landscapes, Theory of Evolutionary Algorithms, Schloss Dagstuhl -Leibniz-Zentrum fuer Informatik, pp.1-19, 2010.

C. Ly and G. B. Ermentrout, Synchronization dynamics of two coupled neural oscillators receiving shared and unshared noisy stimuli, Journal of Computational Neuroscience, vol.1, issue.3, pp.425-443, 2009.
DOI : 10.1007/s10827-008-0120-8

P. L. Nunez and R. Srinivasan, Electric Fields of the Brain, 2006.
DOI : 10.1093/acprof:oso/9780195050387.001.0001

S. T. Okuhata, S. Okazaki, and H. Maekawa, EEG coherence pattern during simultaneous and successive processing tasks, International Journal of Psychophysiology, vol.72, issue.2, pp.89-96, 2009.
DOI : 10.1016/j.ijpsycho.2008.10.008

S. Perrig, J. Iglesias, V. Shaposhnyk, O. Chibirova, P. Dutoit et al., Functional Interactions in Hierarchically Organized Neural Networks Studied with Spatiotemporal Firing Patterns and Phase-Coupling Frequencies, The Chinese Journal of Physiology, vol.53, issue.6, pp.382-395, 2010.
DOI : 10.4077/CJP.2010.AMM039

P. Rakic, J. Bourgeois, M. F. Eckenhoff, N. Zecevic, and P. S. Goldman-rakic, Concurrent overproduction of synapses in diverse regions of the primate cerebral cortex, Science, vol.232, issue.4747, pp.232-235, 1986.
DOI : 10.1126/science.3952506

C. J. Rennie, P. A. Robinson, and J. 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

P. R. Roelfsema, A. K. Engel, P. König, and W. Singer, Visuomotor integration is associated with zero time-lag synchronization among cortical areas, Nature, vol.385, issue.6612, pp.157-161, 1997.
DOI : 10.1038/385157a0

V. Shaposhnyk, P. Dutoit, V. Contreras-lámus, S. Perrig, and A. Villa, A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks, Lect Notes Comput Sci, vol.17, issue.2-3, pp.277-286, 2009.
DOI : 10.1023/B:AURO.0000033973.24945.f3

J. H. Sheeba, A. Stefanovska, and P. V. Mcclintock, Neuronal Synchrony during Anesthesia: A Thalamocortical Model, Biophysical Journal, vol.95, issue.6, pp.2722-2727, 2008.
DOI : 10.1529/biophysj.108.134635

W. Singer, Synchronization of Cortical Activity and its Putative Role in Information Processing and Learning, Annual Review of Physiology, vol.55, issue.1, pp.349-374, 1993.
DOI : 10.1146/annurev.ph.55.030193.002025

R. C. Sotero, N. J. Trujillo-barreto, Y. Iturria-medina, F. Carbonell, and J. C. Jimenez, Realistically Coupled Neural Mass Models Can Generate EEG Rhythms, Neural Computation, vol.10, issue.2, pp.478-512, 2007.
DOI : 10.1007/BF00337367

T. C. Thiagarajan, M. A. Lebedev, M. A. Nicolelis, and D. Plenz, Coherence potentials: loss-less, all-or-none network events in the cortex, PLoS Biol, vol.8, 2010.

I. Timofeev and B. M. , Mechanisms and biological role of thalamocortical oscillations Trends in chronobiology research, pp.1-47, 2005.

M. Ursino, F. Cona, and M. Zavaglia, The generation of rhythms within a cortical region: Analysis of a neural mass model, NeuroImage, vol.52, issue.3, pp.1080-1094, 2010.
DOI : 10.1016/j.neuroimage.2009.12.084

A. E. Villa and I. V. Tetko, Spatio-temporal patterns of activity controlled by system parameters in a simulated thalamo-cortical neural network, Supercomputing in Brain Research: from tomography to neural networks, pp.379-388, 1995.

A. E. Villa and I. V. Tetko, Efficient partition of learning data sets for neural network training, Neural Netw, vol.10, pp.1361-1374, 1997.

A. E. Villa, I. V. Tetko, P. Dutoit, Y. De-ribaupierre, and F. De-ribaupierre, Corticofugal modulation of functional connectivity within the auditory thalamus of rat, guinea pig and cat revealed by cooling deactivation, Journal of Neuroscience Methods, vol.86, issue.2, pp.161-178, 1999.
DOI : 10.1016/S0165-0270(98)00164-2

G. Wolters and A. Raffone, Coherence and recurrency: maintenance, control and integration in working memory, Cognitive Processing, vol.4, issue.1, pp.1-17, 2008.
DOI : 10.1007/s10339-007-0185-8

T. Womelsdorf, J. M. Schoffelen, R. Oostenveld, W. Singer, R. Desimone et al., Modulation of Neuronal Interactions Through Neuronal Synchronization, Science, vol.316, issue.5831, pp.1609-1612, 2007.
DOI : 10.1126/science.1139597

J. J. Wright, Simulation of EEG: dynamic changes in synaptic efficacy, cerebral rhythms, and dissipative and generative activity in cortex, Biological Cybernetics, vol.81, issue.2, pp.131-147, 1999.
DOI : 10.1007/s004220050550