L. Alecu and H. Frezza-buet, Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations, Proceedings of the 16th International Conference on Neural Information Processing (ICONIP), 2009.
DOI : 10.1007/978-3-642-10677-4_15
URL : https://hal.archives-ouvertes.fr/hal-00439332

F. Alexandre, F. Guyot, J. Haton, and Y. Burnod, The cortical column: A new processing unit for multilayered networks, Neural Networks, vol.4, issue.1, pp.15-25, 1991.
DOI : 10.1016/0893-6080(91)90027-3

S. Amari, Dynamics of pattern formation in lateral-inhibition type neural fields, Biological Cybernetics, vol.13, issue.2, pp.77-87, 1977.
DOI : 10.1007/BF00337259

P. Bressloff, J. Cowan, M. Golubitsky, P. Thomas, and M. Wiener, What Geometric Visual Hallucinations Tell Us about the Visual Cortex, Neural Computation, vol.222, issue.8, pp.473-491, 2002.
DOI : 10.1007/BF00288786

P. Bressloff and S. Folias, Front Bifurcations in an Excitatory Neural Network, SIAM Journal on Applied Mathematics, vol.65, issue.1, pp.131-151, 2004.
DOI : 10.1137/S0036139903434481

Y. Burnod, An adaptive Neural Network: The Cerebral Cortex, Masson, 1989.

J. Daugmann, Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters, Journal of the Optical Society of America A, vol.2, issue.7, pp.1160-1169, 1985.
DOI : 10.1364/JOSAA.2.001160

K. Doya, What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?, Neural Networks, vol.12, issue.7-8, pp.961-974, 1999.
DOI : 10.1016/S0893-6080(99)00046-5

T. Elbert and B. Rockstroh, Reorganization of Human Cerebral Cortex: The Range of Changes Following Use and Injury, The Neuroscientist, vol.10, issue.2, pp.129-141, 2004.
DOI : 10.1177/1073858403262111

M. Enculescu and M. Bestehorn, Mechanisms for activity spread in a neural field model, Neurocomputing, vol.70, issue.16-18, pp.2996-3000, 2007.
DOI : 10.1016/j.neucom.2006.09.012

W. Erlhagen and E. Bicho, The dynamic neural field approach to cognitive robotics, Journal of Neural Engineering, vol.3, issue.3, pp.36-54, 2006.
DOI : 10.1088/1741-2560/3/3/R02

W. Fellenz and J. Taylor, Establishing retinotopy by lateral-inhibition type homogeneous neural fields, Neurocomputing, vol.48, issue.1-4, pp.313-322, 2002.
DOI : 10.1016/S0925-2312(01)00652-X

J. Fix, N. Rougier, and F. Alexandre, From physiological principles to computational models of the cortex, Journal of Physiology-Paris, vol.101, issue.1-3, pp.32-39, 2007.
DOI : 10.1016/j.jphysparis.2007.10.009
URL : https://hal.archives-ouvertes.fr/inria-00166536

S. E. Folias and P. C. Bressloff, Breathing Pulses in an Excitatory Neural Network, SIAM Journal on Applied Dynamical Systems, vol.3, issue.3, pp.378-407, 2004.
DOI : 10.1137/030602629

S. E. Folias and P. C. Bressloff, Breathers in Two-Dimensional Neural Media, Physical Review Letters, vol.95, issue.20, p.95, 2005.
DOI : 10.1103/PhysRevLett.95.208107

H. Frezza-buet, Bijama software library, Website, 2009.

H. Frezza-buet, Intercell project, Website, 2009.

H. Frezza-buet and F. Alexandre, From a biological to a computational model for the autonomous behavior of an animat, Information Sciences, vol.144, issue.1-4, pp.1-41, 2002.
DOI : 10.1016/S0020-0255(02)00195-0
URL : https://hal.archives-ouvertes.fr/inria-00100715

H. Frezza-buet and O. Ménard, Making Competition in Neural Fields Suitable for Computational Architectures, International Conference on Artificial Neural Networks (ICANN), Lecture Notes in Computer Science (LNCS) 3696, part I, pp.217-222, 2005.
DOI : 10.1007/11550822_35
URL : https://hal.archives-ouvertes.fr/inria-00000633

J. Hertz, A. Krogh, and R. Palmer, Introduction to the Theory of, Neural Computation, 1991.

C. Horta and W. Erlhagen, Robust persistent activity in neural fields with asymmetric connectivity, Neurocomputing, vol.69, issue.10-12, pp.1141-1145, 2006.
DOI : 10.1016/j.neucom.2005.12.062

D. Hubel and T. Wiesel, Receptive fields, binocular interaction, and functional architecture of cat striate cortex, Journal of Physiology, 1962.

A. Hutt, M. Bestehorn, and T. Wennekers, Pattern formation in intracortical neuronal fields, Network: Computation in Neural Systems, vol.14, issue.2, pp.351-368, 2003.
DOI : 10.1088/0954-898X_14_2_310

I. Iossifidis and A. Steinhage, Controlling an 8 dof manipulator by means of neural fields, Int. Conf. on Field and Service Robotics, 2001.

J. Johnson, J. Spencer, and G. Schöner, Moving to higher ground: The dynamic field theory and the dynamics of visual cognition, New Ideas in Psychology, vol.26, issue.2, pp.227-251, 2008.
DOI : 10.1016/j.newideapsych.2007.07.007

E. Jones, Microcolumns in the cerebral cortex, Proceedings of the National Academy of Sciences, vol.97, issue.10, pp.975019-5021, 2000.
DOI : 10.1073/pnas.97.10.5019

T. Kohonen, Self-organized formation of topologically correct feature maps, Biological Cybernetics, vol.13, issue.1, pp.59-69, 1982.
DOI : 10.1007/BF00337288

T. Kohonen, Self-Organization and Associative Memory, of Springer Series in Information Sciences, 1989.
DOI : 10.1007/978-3-642-88163-3

J. B. Macqueen, Some methods for classification and analysis of multivariate observations, Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297, 1967.

O. Ménard and H. Frezza-buet, Model of multi-modal cortical processing: Coherent learning in self-organizing modules, Neural Networks, vol.18, issue.5-6, pp.5-6646, 2005.
DOI : 10.1016/j.neunet.2005.06.036

R. Miikkulainen, J. A. Bednar, Y. Choe, and J. Sirosh, Computational Maps in the Visual Cortex, 2005.

I. Mikhailova and C. Goerick, Conditions of activity bubble uniqueness in dynamic neural fields, Biological Cybernetics, vol.92, issue.2, pp.82-91, 2005.
DOI : 10.1007/s00422-004-0537-8

K. D. Miller, D. J. Simons, and D. J. Pinto, Processing in layer 4 of the neocortical circuit: new insights from visual and somatosensory cortex, Current Opinion in Neurobiology, vol.11, issue.4, pp.488-497, 2001.
DOI : 10.1016/S0959-4388(00)00239-7

V. Mountcastle, The columnar organization of the neocortex, Brain, vol.120, issue.4, pp.701-722, 1997.
DOI : 10.1093/brain/120.4.701

D. Pinto and G. Ermentrout, Spatially Structured Activity in Synaptically Coupled Neuronal Networks: I. Traveling Fronts and Pulses, SIAM Journal on Applied Mathematics, vol.62, issue.1, pp.206-225, 2001.
DOI : 10.1137/S0036139900346453

D. Pinto and G. Ermentrout, Spatially Structured Activity in Synaptically Coupled Neuronal Networks: II. Lateral Inhibition and Standing Pulses, SIAM Journal on Applied Mathematics, vol.62, issue.1, pp.226-243, 2001.
DOI : 10.1137/S0036139900346465
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.6344

N. Rougier, Implicit and explicit representations, Neural Networks, vol.22, issue.2, pp.155-160, 2009.
DOI : 10.1016/j.neunet.2009.01.008
URL : https://hal.archives-ouvertes.fr/inria-00336167

N. Rougier and J. Vitay, Emergence of attention within a neural population, Neural Networks, vol.19, issue.5, pp.573-581, 2006.
DOI : 10.1016/j.neunet.2005.04.004
URL : https://hal.archives-ouvertes.fr/inria-00000143

S. Sabatini and L. Secchi, A continuum-field model of visual cortex stimulus-driven behaviour: emergent oscillations and coherence fields, Neurocomputing, vol.57, pp.411-433, 2004.
DOI : 10.1016/j.neucom.2003.10.016

S. Sabatini and L. Secchi, Emergence of oscillations and spatio-temporal coherence states in a continuum-model of excitatory and inhibitory neurons, Biosystems, vol.79, issue.1-3, pp.101-108, 2005.
DOI : 10.1016/j.biosystems.2004.09.009

J. Salmon and T. Trappenberg, Modeling the integration of expectations in visual search with centre-surround neural fields, Neural Networks, vol.21, issue.10, pp.1476-1492, 2008.
DOI : 10.1016/j.neunet.2008.09.007

S. Schneider and W. Erlhagen, A neural field model for saccade planning in the superior colliculus: speed-accuracy tradeoff in the double-target paradigm, Neurocomputing, vol.44, issue.46, pp.44-46623, 2002.
DOI : 10.1016/S0925-2312(02)00449-6

V. Simmering, A. Schutte, and J. Spencer, Generalizing the dynamic field theory of spatial cognition across real and developmental time scales, Brain Research, vol.1202, 2007.
DOI : 10.1016/j.brainres.2007.06.081

M. Stavrinou, S. Penna, V. Pizzella, K. Torquati, F. Cianflone et al., Temporal Dynamics of Plastic Changes in Human Primary Somatosensory Cortex after Finger Webbing, Cerebral Cortex, vol.17, issue.9, pp.172134-2142, 2007.
DOI : 10.1093/cercor/bhl120

W. Taouali, F. Alexandre, A. Hutt, and N. Rougier, Asynchronous Evaluation as an Efficient and Natural Way to Compute Neural Networks, AIP Conference Proceedings, 2009.
DOI : 10.1063/1.3241522
URL : https://hal.archives-ouvertes.fr/inria-00408178

J. G. Taylor, Neural networks for consciousness, Neural Networks, vol.10, issue.7, pp.1207-1225, 1997.
DOI : 10.1016/S0893-6080(97)00064-6

M. Toussaint, Learning a world model and planning with a self-organizing, dynamic neural system, NIPS, 2003.

M. Toussaint, A Sensorimotor Map: Modulating Lateral Interactions for Anticipation and Planning, Neural Computation, vol.13, issue.5, pp.1132-1155, 2006.
DOI : 10.1126/science.7569931

N. A. Venkov, S. Coombes, and P. Matthews, Dynamic instabilities in scalar neural field equations with space-dependent delays, Physica D: Nonlinear Phenomena, vol.232, issue.1, pp.1-15, 2007.
DOI : 10.1016/j.physd.2007.04.011

C. Wilimzig and G. Schöner, The emergence of stimulus-response assoctiations from neural activation fields: dynamic neural theory, The 27th Annual Conference of the Cognitive Science Society, pp.2359-2364, 2004.

H. Wilson and J. Cowan, Excitatory and Inhibitory Interactions in Localized Populations of Model Neurons, Biophysical Journal, vol.12, issue.1, pp.1-24, 1972.
DOI : 10.1016/S0006-3495(72)86068-5

H. Wilson and J. Cowan, A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue, Kybernetik, vol.12, issue.2, pp.55-80, 1973.
DOI : 10.1007/BF00288786