M. Abeles, H. Bergman, E. Margalit, and E. Vaadia, Spatiotemporal firing patterns in the frontal cortex of behaving monkeys, 1993.

A. M. Aertsen, G. L. Gerstein, M. K. Habib, and G. Palm, Dynamics of neuronal firing correlation: modulation of " effective connectivity, J. Neurophysiol, vol.61, pp.900-917, 1989.

D. J. Amit and N. Brunel, Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex, Cerebral Cortex, vol.7, issue.3, 1997.
DOI : 10.1093/cercor/7.3.237

S. Ardid, X. Wang, D. Gomez-cabrero, and A. Compte, Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention:gamma-range synchronization between sensoryand executive cortical areas, 2010.

A. Baddeley, P. M. Bays, and M. Husain, Working memory: looking back and looking forward, Nature Reviews Neuroscience, vol.4, issue.10, pp.829-839, 1201.
DOI : 10.1038/nrn1201

R. Brette, Generation of Correlated Spike Trains, Neural Computation, vol.20, issue.14, pp.188-21512, 2009.
DOI : 10.1038/78829

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.8052

N. Brunel, W. , and X. , Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition, Journal of Computational Neuroscience, vol.37, issue.3, pp.63-85, 2001.
DOI : 10.1007/s10827-014-0506-8

M. A. Buice, J. D. Cowan, and C. C. Chow, Systematic Fluctuation Expansion for Neural Network Activity Equations, Neural Computation, vol.13, issue.1, pp.377-426, 2009.
DOI : 10.1093/acprof:oso/9780198509233.001.0001

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2805768

M. V. Chafee and P. S. Goldman-rakic, Matching patterns of activity in primate prefrontal area 8a and parietal area 7ip neurons during a spatial working memory task, 1998.

S. Cocco, S. Leibler, and R. Monasson, Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods, Proc. Natl, 2009.
DOI : 10.1007/s10827-006-7200-4

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2729019

A. Compte, N. Brunel, P. S. Goldman-rakic, W. , and X. , Synaptic Mechanisms and Network Dynamics Underlying Spatial Working Memory in a Cortical Network Model, Cerebral Cortex, vol.10, issue.9, pp.910-923, 2000.
DOI : 10.1093/cercor/10.9.910

N. Cowan, The magical number 4 in short-term memory: A reconsideration of mental storage capacity, Behavioral and Brain Sciences, vol.24, issue.1, 2001.
DOI : 10.1017/S0140525X01003922

M. Dipoppa and B. S. Gutkin, Flexible frequency control of cortical oscillations enables computations required for working memory, Proc. Natl. Acad. Sci, pp.87-114, 2013.
DOI : 10.1016/j.neuron.2010.05.013

M. Frank, B. Loughry, O. Reilly, and R. , Interactions between frontal cortex and basal ganglia in working memory: A computational model, Cognitive, Affective, & Behavioral Neuroscience, vol.1, issue.2, 2001.
DOI : 10.3758/CABN.1.2.137

S. Funahashi, C. J. Bruce, and P. S. Goldman-rakic, Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex, J. Neurophysiol, vol.61, pp.331-349, 1989.

S. Funahashi and M. Inoue, Neuronal Interactions Related to Working Memory Processes in the Primate Prefrontal Cortex Revealed by Cross-correlation Analysis, Cerebral Cortex, vol.10, issue.6, 2000.
DOI : 10.1093/cercor/10.6.535

J. M. Fuster, A. , and G. E. , Neuron Activity Related to Short-Term Memory, Science, vol.173, issue.3997, 1971.
DOI : 10.1126/science.173.3997.652

J. M. Fuster and J. P. Jervey, Inferotemporal neurons distinguish and retain behaviorally relevant features of visual stimuli, Science, vol.212, issue.4497, pp.952-955, 1981.
DOI : 10.1126/science.7233192

R. F. Galán, N. Fourcaud-trocmé, G. B. Ermentrout, and N. N. Urban, Correlation-Induced Synchronization of Oscillations in Olfactory Bulb Neurons, Journal of Neuroscience, vol.26, issue.14, 2006.
DOI : 10.1523/JNEUROSCI.4605-05.2006

B. S. Gutkin, C. R. Laing, C. L. Colby, C. C. Chow, and B. G. Ermentrout, Turning on and off with excitation: the role of spiketiming asynchrony and synchrony in sustained neural activity, J, 2001.
URL : https://hal.archives-ouvertes.fr/hal-00326261

T. Kreuz, D. Chicharro, C. Houghton, R. G. Andrzejak, and F. Mormann, Monitoring spike train synchrony, Journal of Neurophysiology, vol.109, issue.5, pp.1457-1472, 2013.
DOI : 10.1152/jn.00873.2012

URL : http://arxiv.org/abs/1209.6604

C. R. Laing and C. C. Chow, Stationary Bumps in Networks of Spiking Neurons, Neural Computation, vol.16, issue.2, pp.1473-1494, 2001.
DOI : 10.1007/BF00288786

I. Lampl, I. Reichova, and D. Ferster, Synchronous Membrane Potential Fluctuations in Neurons of the Cat Visual Cortex, Neuron, vol.22, issue.2, pp.361-374, 1999.
DOI : 10.1016/S0896-6273(00)81096-X

H. Lange, G. Thorner, and A. Hopf, Morphometric-statistical structure analysis of human striatum , pallidum, and nucleus subthalamicus: III. nucleus subthalamicus, 1976.

H. Lee, G. V. Simpson, N. K. Logothetis, R. , and G. , Phase Locking of Single Neuron Activity to Theta Oscillations during Working Memory in Monkey Extrastriate Visual Cortex, Neuron, vol.45, issue.1, pp.147-156, 2005.
DOI : 10.1016/j.neuron.2004.12.025

S. Lim, M. S. Goldman, and E. K. Vogel, Noise Tolerance of Attractor and Feedforward Memory Models, Neural Computation, vol.16, issue.4, pp.332-390, 1038.
DOI : 10.1038/370140a0

C. Ly and G. 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 : 10.1007/978-3-642-69689-3

C. K. Machens, R. Romo, and C. D. Brody, Flexible Control of Mutual Inhibition: A Neural Model of Two-Interval Discrimination, Science, vol.307, issue.5712, pp.1121-1124, 2005.
DOI : 10.1126/science.1104171

E. K. Miller, C. A. Erickson, and R. Desimone, Neural mechanisms of visual working memory in prefrontal cortex of the macaque, J. Neurosci, vol.16, pp.5154-5167, 1996.

G. A. Miller, The magical number seven, plus or minus two: some limits on our capacity for processing information., Proc. Natl, pp.81-97, 1956.
DOI : 10.1037/h0043158

R. Moreno-bote, A. Renart, N. Parga, and N. , Theory of input spike auto-and crosscorrelations and their effect on the response of spiking neurons, Neural Comput, vol.7, pp.1651-1705, 2008.

B. Pesaran, J. S. Pezaris, M. Sahani, P. P. Mitra, R. A. Andersen et al., Temporal structure in neuronal activity during working memory in macaque parietal cortex, Nature Neuroscience, vol.5, issue.8, pp.805-811, 2002.
DOI : 10.1038/nn890

URL : http://arxiv.org/abs/q-bio/0309034

G. Pipa, E. S. Städtler, E. F. Rodriguez, J. A. Waltz, L. Muckli et al., Performanceand stimulus-dependent oscillations in monkey prefrontal cortex during short-term memory, Front. Integr. Neurosci, 2009.
DOI : 10.3389/neuro.07.025.2009

URL : http://doi.org/10.3389/neuro.07.025.2009

A. Riehle, S. Grün, M. Diesmann, and A. Aertsen, Spike Synchronization and Rate Modulation Differentially Involved in Motor Cortical Function, Science, vol.278, issue.5345, 1950.
DOI : 10.1126/science.278.5345.1950

R. Romo, C. D. Brody, A. Hernández, and L. Lemus, Neuronal correlates of parametric working memory in the prefrontal cor- tex, Nature, vol.399, issue.6735, pp.470-473, 1038.
DOI : 10.1038/20939

R. Rosenbaum, J. Trousdale, and K. Josic, The effects of pooling on correlated neural variability, Front. Neurosci, 2011.

Y. Sakurai and S. Takahashi, Dynamic synchrony of firing in the monkey prefrontal cortex during Frontiers in Computational Neuroscience www.frontiersin.org, p.13, 2006.

E. Salinas and T. J. Sejnowski, Correlated neuronal activity and the flow of neural information, Nature Reviews Neuroscience, vol.98, issue.8, pp.539-550, 2001.
DOI : 10.1073/pnas.98.3.1282

M. N. Shadlen and W. T. Newsome, Noise, neural codes and cortical organization, Current Opinion in Neurobiology, vol.4, issue.4, pp.569-579, 1994.
DOI : 10.1016/0959-4388(94)90059-0

C. Tallon-baudry, O. Bertrand, F. Peronnet, and J. Pernier, Induced ? -band activity during the delay of a visual short-term memory task in humans, J. Neurosci, vol.18, pp.4244-4254, 1998.

M. Tsodyks, T. Kenet, A. Grinvald, A. Arieli, R. Berg et al., Linking spontaneous activity of single cortical neurons and the underlying functional architecture Variability in encoding precision accounts for visual short-term memory limitations, Science, vol.286, 1943.

E. K. Vogel, G. F. Woodman, and S. J. Luck, Storage of features, conjunctions, and objects in visual working memory., Journal of Experimental Psychology: Human Perception and Performance, vol.27, issue.1, 2001.
DOI : 10.1037/0096-1523.27.1.92

P. Wilken, M. , and W. J. , A detection theory account of change detection, Journal of Vision, vol.4, issue.12, pp.1120-1135, 2004.
DOI : 10.1167/4.12.11