E. Bonabeau, G. Theraulaz, and J. L. Deneubourg, Fixed Response Thresholds and the Regulation of Division of Labor in Insect Societies, Bulletin of Mathematical Biology, vol.60, issue.4, pp.753-807, 1998.
DOI : 10.1006/bulm.1998.0041

E. Bonabeau, G. Theraulaz, and J. L. Deneubourg, The synchronization of recruitment-based activities in ants, Biosystems, vol.45, issue.3, pp.195-211, 1998.
DOI : 10.1016/S0303-2647(98)00004-5

N. Brunel and X. J. Wang, What Determines the Frequency of Fast Network Oscillations With Irregular Neural Discharges? I. Synaptic Dynamics and Excitation-Inhibition Balance, Journal of Neurophysiology, vol.90, issue.1, pp.415-430, 2003.
DOI : 10.1152/jn.01095.2002

B. J. Cole, Short-Term Activity Cycles in Ants: Generation of Periodicity by Worker Interaction, The American Naturalist, vol.137, issue.2, 1991.
DOI : 10.1086/285156

N. R. Franks and S. Bryant, Rhythmical patterns of activity within the nest of ants, Chemistry and Biology of Social Insects, pp.122-123, 1987.

W. Gerstner and W. Kistler, Spiking Neuron Models: Single Neurons, Population, Plasticity, 2002.
DOI : 10.1017/CBO9780511815706

S. Goss and J. L. Deneubourg, L'autocatalyse comme source d'activit?? rythmique synchronis??e chez les insectes sociaux, Insectes Sociaux, vol.3, issue.1???2, pp.310-315, 1988.
DOI : 10.1007/BF02224063

D. Hansel and G. Mato, Existence and Stability of Persistent States in Large Neuronal Networks, Physical Review Letters, vol.86, issue.18, pp.4175-4178, 2001.
DOI : 10.1103/PhysRevLett.86.4175

D. O. Hebb, The Organization of Behaviour, 1949.

J. J. Hopfield and C. D. Brody, What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration, Proc. Natl. Acad. Sci, pp.1282-1287, 2001.
DOI : 10.1073/pnas.98.3.1282

E. M. Izhikevich, Polychronization: Computation with Spikes, Neural Computation, vol.71, issue.2, pp.245-282, 2006.
DOI : 10.1016/S0167-8760(00)00173-2

E. M. Izhikevich, Dynamical systems in neuroscience: the geometry of excitability and bursting, chapter One-Dimensional Systems, 2007.

H. Jaeger, W. Maass, and J. Principe, Special issue on echo state networks and liquid state machines, Neural Networks, vol.20, issue.3, pp.287-289, 2007.
DOI : 10.1016/j.neunet.2007.04.001

B. W. Knight, Dynamics of Encoding in a Population of Neurons, The Journal of General Physiology, vol.59, issue.6, pp.734-766, 1972.
DOI : 10.1085/jgp.59.6.734

P. E. Latham, B. J. Richmond, P. G. Nelson, and S. Nirenberg, Intrinsic dynamics in neuronal networks. i. theory, Journal of Neurophysiology, vol.83, issue.2, pp.808-827, 2000.

W. Liu, A. F. Winfield, J. Sa, J. Chen, and L. Dou, Towards Energy Optimization: Emergent Task Allocation in a Swarm of Foraging Robots, Adaptive Behavior, vol.15, issue.3, pp.289-305, 2007.
DOI : 10.1177/1059712307082088

R. E. Mirollo and S. H. Strogatz, Synchronization of Pulse-Coupled Biological Oscillators, SIAM Journal on Applied Mathematics, vol.50, issue.6, pp.1645-1662, 1990.
DOI : 10.1137/0150098

H. Paugam-moisy and S. M. Bohte, Handbook of Natural Computing, chapter 10 Computing with Spiking Neuron Networks, 2010.

D. Phan, M. B. Gordon, and J. P. , Cognitive Economics, chapter Social interactions in economic theory: An insight from statistical mechanics, pp.335-358, 2004.

B. Schrauwen, L. Büsing, and R. Legenstein, On computational power and the order-chaos phase transition in reservoir computing, Advances in Neural Information Processing Systems, pp.1425-1432, 2008.

J. Triesch, Synergies Between Intrinsic and Synaptic Plasticity Mechanisms, Neural Computation, vol.69, issue.4, pp.885-909, 2007.
DOI : 10.1038/nrn1248

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.8285

A. Wolf, J. Swift, H. Swinney, and J. Vastano, Determining Lyapunov exponents from a time series, Physica D: Nonlinear Phenomena, vol.16, issue.3, pp.285-317, 1985.
DOI : 10.1016/0167-2789(85)90011-9