W. C. Abraham and M. F. Bear, Metaplasticity: the plasticity of synaptic plasticity, Trends in Neurosciences, vol.19, issue.4, pp.126-130, 1996.
DOI : 10.1016/S0166-2236(96)80018-X

S. Achard, R. Salvador, B. Whitcher, J. Suckling, and E. Bullmore, A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs, Journal of Neuroscience, vol.26, issue.1, pp.63-72, 2006.
DOI : 10.1523/JNEUROSCI.3874-05.2006

F. Atay, T. Biyikouglu, and J. Jost, Network synchronization: Spectral versus statistical properties, Physica D: Nonlinear Phenomena, vol.224, issue.1-2, pp.35-41, 2006.
DOI : 10.1016/j.physd.2006.09.018

M. Barahona and L. Pecora, Synchronization in Small-World Systems, Physical Review Letters, vol.89, issue.5, p.54101, 2002.
DOI : 10.1103/PhysRevLett.89.054101

D. Bassett and E. Bullmore, Small-World Brain Networks, The Neuroscientist, vol.92, issue.1, pp.512-523, 2006.
DOI : 10.1177/1073858406293182

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.794

H. Berry and M. Quoy, Structure and Dynamics of Random Recurrent Neural Networks, Adaptive Behavior, vol.3, issue.9, pp.129-137, 2006.
DOI : 10.1177/105971230601400204

URL : https://hal.archives-ouvertes.fr/inria-00001065

N. Bertschinger and T. Natschlager, Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks, Neural Computation, vol.7, issue.7, pp.1413-1436, 2004.
DOI : 10.1126/science.274.5293.1724

S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, and D. U. Hwang, Complex networks: Structure and dynamics, Physics Reports, vol.424, issue.4-5, pp.175-308, 2006.
DOI : 10.1016/j.physrep.2005.10.009

D. Brager, X. Cai, and S. Thompson, Activity-dependent activation of presynaptic protein kinase C mediates post-tetanic potentiation, Nature Neuroscience, vol.6, issue.6, pp.551-552, 2003.
DOI : 10.1038/nn1067

B. Cessac and M. Samuelides, From neuron to neural networks dynamics, Dynamical Neural Networks, pp.7-88, 2007.
DOI : 10.1140/epjst/e2007-00058-2

URL : https://hal.archives-ouvertes.fr/hal-00095871

G. Daoudal and D. Debanne, Long-Term Plasticity of Intrinsic Excitability: Learning Rules and Mechanisms, Learning & Memory, vol.10, issue.6, pp.456-465, 2003.
DOI : 10.1101/lm.64103

E. Dauce, M. Quoy, B. Cessac, B. Doyon, and M. Samuelides, Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning, Neural Networks, vol.11, issue.3, pp.521-533, 1998.
DOI : 10.1016/S0893-6080(97)00131-7

E. Daucé, M. Quoy, and B. Doyon, Resonant spatio-temporal learning in large random neural networks, Biol. Cybern, vol.87, pp.185-198, 2002.

V. Doyere, M. Errington, S. Laroche, and T. Bliss, Low???frequency trains of paired stimuli induce long???term depression in area CA1 but not in dentate gyrus of the intact rat, Hippocampus, vol.6, issue.1, pp.52-57, 1996.
DOI : 10.1002/(SICI)1098-1063(1996)6:1<52::AID-HIPO9>3.3.CO;2-Q

B. Doyon, B. Cessac, M. Quoy, and M. Samuelides, CONTROL OF THE TRANSITION TO CHAOS IN NEURAL NETWORKS WITH RANDOM CONNECTIVITY, International Journal of Bifurcation and Chaos, vol.03, issue.02, pp.279-291, 1993.
DOI : 10.1142/S0218127493000222

V. Eguiluz, D. Chialvo, G. Cecchi, and A. Apkarian, Scale-Free Brain Functional Networks, Physical Review Letters, vol.94, issue.1, p.18102, 2005.
DOI : 10.1103/PhysRevLett.94.018102

W. Freeman, Simulation of chaotic EEG patterns with a dynamic model of the olfactory system, Biological Cybernetics, vol.52, issue.2-3, pp.139-150, 1987.
DOI : 10.1007/BF00317988

W. Freeman, Y. Yao, and B. Burke, Central pattern generating and recognizing in olfactory bulb: A correlation learning rule, Neural Networks, vol.1, issue.4, pp.277-288, 1988.
DOI : 10.1016/0893-6080(88)90001-9

J. Gouzé, Positive and Negative Circuits in Dynamical Systems, Journal of Biological Systems, vol.06, issue.01, pp.11-15, 1998.
DOI : 10.1142/S0218339098000054

G. Grinstein and R. Linsker, Synchronous neural activity in scale-free network models versus random network models, Proceedings of the National Academy of Sciences, vol.71, issue.1, pp.9948-9953, 2005.
DOI : 10.1103/PhysRevLett.91.014101

H. Hasegawa, Synchronizations in small-world networks of spiking neurons: Diffusive versus sigmoid couplings, Physical Review E, vol.72, issue.5, p.56139, 2005.
DOI : 10.1103/PhysRevE.72.056139

Y. He, Z. Chen, and A. Evans, Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI, Advance access published online, 2007.
DOI : 10.1093/cercor/bhl149

A. Heynen, E. Quinlan, D. Bae, and M. Bear, Bidirectional, Activity-Dependent Regulation of Glutamate Receptors in the Adult Hippocampus In Vivo, Neuron, vol.28, issue.2, pp.527-536, 2000.
DOI : 10.1016/S0896-6273(00)00130-6

M. Hirsch, Convergent activation dynamics in continuous time networks, Neur. Networks, pp.331-349, 1989.
DOI : 10.1016/0893-6080(89)90018-X

A. Holtmaat, J. Trachtenberg, L. Wilbrecht, G. Shepherd, X. Zhang et al., Transient and Persistent Dendritic Spines in the Neocortex In Vivo, Neuron, vol.45, issue.2, pp.279-291, 2005.
DOI : 10.1016/j.neuron.2005.01.003

H. Hong, B. Kim, M. Choi, and H. Park, Factors that predict better synchronizability on complex networks, Physical Review E, vol.69, issue.6, p.67105, 2002.
DOI : 10.1103/PhysRevE.69.067105

URL : http://arxiv.org/abs/cond-mat/0403745

M. Kaiser and C. Hilgetag, Nonoptimal Component Placement, but Short Processing Paths, due to Long-Distance Projections in Neural Systems, PLoS Computational Biology, vol.21, issue.7, p.95, 2006.
DOI : 10.1371/journal.pcbi.0020095.sg003

N. Kalisman, G. Silberberg, and H. Markram, The neocortical microcircuit as a tabula rasa, Proc. Natl. Acad. Sci. USA, pp.880-885, 2005.
DOI : 10.1038/nature01273

H. F. Kwok, P. Jurica, A. Raffone, and C. Van-leeuwen, Robust emergence of small-world structure in networks of spiking neurons, Cognitive Neurodynamics, vol.4, issue.1, pp.39-51, 2007.
DOI : 10.1007/s11571-006-9006-5

L. F. Lago-fernández, R. Huerta, F. Corbacho, and J. A. Sigüenza, Fast Response and Temporal Coherent Oscillations in Small-World Networks, Physical Review Letters, vol.84, issue.12
DOI : 10.1103/PhysRevLett.84.2758

H. Markram, J. Lübke, M. Frotscher, A. Roth, and B. Sakmann, Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex., The Journal of Physiology, vol.500, issue.2, pp.409-440, 1997.
DOI : 10.1113/jphysiol.1997.sp022031

S. Micheloyannis, E. Pachou, C. Stam, M. Vourkas, S. Erimaki et al., Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis, Neuroscience Letters, vol.402, issue.3, pp.273-277, 2006.
DOI : 10.1016/j.neulet.2006.04.006

T. Nishikawa, A. E. Motter, Y. C. Lai, and F. C. Hoppensteadt, Heterogeneity in Oscillator Networks: Are Smaller Worlds Easier to Synchronize?, Physical Review Letters, vol.91, issue.1, 2003.
DOI : 10.1103/PhysRevLett.91.014101

R. Racine, N. Milgram, and S. Hafner, Long-term potentiation phenomena in the rat limbic forebrain, Brain Research, vol.260, issue.2, pp.217-231, 1983.
DOI : 10.1016/0006-8993(83)90676-5

O. Shefi, I. Golding, R. Segev, E. Ben-jacob, and A. Ayali, neuronal networks, Physical Review E, vol.66, issue.2, p.21905, 2002.
DOI : 10.1103/PhysRevE.66.021905

C. W. Shin and S. Kim, Self-organized criticality and scale-free properties in emergent functional neural networks, Physical Review E, vol.74, issue.4, p.45101, 2006.
DOI : 10.1103/PhysRevE.74.045101

B. Siri, H. Berry, B. Cessac, B. Delord, and M. Quoy, Topological and dynamical structures induced by hebbian learning in random neural networks, International Conference on Complex Systems, 2006.

B. Siri, H. Berry, B. Cessac, B. Delord, and M. Quoy, A mathematical analysis of the effects of hebbian learning rules on the dynamics and structure of discretetime random recurrent neural networks, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00149181

C. Skarda and W. Freeman, How brains make chaos in order to make sense of the world, Behavioral and Brain Sciences, vol.9, issue.3, pp.161-195, 1987.
DOI : 10.1016/0006-8993(80)90149-3

H. Soula, A. Alwan, and G. Beslon, Learning at the edge of chaos: Temporal coupling of spiking neurons controller for autonomous robotics, AAAI Spring Symposium on Developmental Robotics, 2005.

O. Sporns and J. Zwi, The Small World of the Cerebral Cortex, Neuroinformatics, vol.2, issue.2, pp.145-162, 2004.
DOI : 10.1385/NI:2:2:145

C. Stam, Functional connectivity patterns of human magnetoencephalographic recordings: a ???small-world??? network?, Neuroscience Letters, vol.355, issue.1-2, pp.25-28, 2004.
DOI : 10.1016/j.neulet.2003.10.063

R. Thomas, On the relation between the logical structure of systems and their ability to generate multiple steady states or sustained oscillations, chapter Numerical methods in the study of critical phenomena, pp.180-193, 1981.

A. Volianskis and M. Jensen, Transient and sustained types of long-term potentiation in the CA1 area of the rat hippocampus, The Journal of Physiology, vol.9, issue.2, pp.459-492, 2003.
DOI : 10.1113/jphysiol.2003.044214

D. Watts and S. Strogatz, Collective dynamics of " small-world " networks, Nature, vol.393, issue.6684, pp.440-442, 1998.
DOI : 10.1038/30918