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

J. W. Mink, THE BASAL GANGLIA: FOCUSED SELECTION AND INHIBITION OF COMPETING MOTOR PROGRAMS, Progress in Neurobiology, vol.50, issue.4, pp.381-425, 1996.
DOI : 10.1016/S0301-0082(96)00042-1

Y. Burnod, An adaptive neural network : the cerebral cortex, 1989.

D. H. Ballard, Cortical connections and parallel processing: Structure and function, Behavioral and Brain Sciences, vol.3, issue.01, pp.67-129, 1986.
DOI : 10.1016/0306-4522(81)90235-9

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.7804

S. Grossberg, E. Mingolla, and J. Williamson, Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation, Neural Networks, vol.8, issue.7-8, pp.1005-1028, 1995.
DOI : 10.1016/0893-6080(95)00079-8

J. M. Fuster, The Prefrontal Cortex : Anatomy, Physiology, and Neuropsychology of the Frontal Lobe, 1997.

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.1-43, 2002.
DOI : 10.1016/S0020-0255(02)00195-0

URL : https://hal.archives-ouvertes.fr/inria-00100715

D. H. Hubel and T. N. , Functional architecture of macaque monkey visual cortex, Ferrier Lecture Proc. Roy. Soc. London, pp.1-59, 1977.

D. Willshaw, C. Von, and . Malsburg, How Patterned Neural Connections Can Be Set Up by Self-Organization, Proceedings of the Royal Society B: Biological Sciences, vol.194, issue.1117, pp.431-445, 1976.
DOI : 10.1098/rspb.1976.0087

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

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

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

R. Miikkulainen, J. A. Bednar, T. Choe, and J. Sirosh, Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex, Psychology of Learning and Motivation, 1996.
DOI : 10.1016/S0079-7421(08)60286-8

H. Ritter, T. Martinetz, and K. Schulten, Neural Computation and Self-Organizing Maps; An Introduction, 1992.

O. Ménard, S. Vialle, and H. Frezza-buet, Making cortically-inspired sensorimotor control realistic for robotics: Design of an extended parallel cellular program, IEEE Advances in Intelligent Systems -Theory and Applications, 2004.

O. Ménard and H. Frezza-buet, Multi-map self-organization for sensorimotor learning: a cortical approach, IEEE International Joint Conference on Neural Networks, 2003.

O. Ménard, H. Frezza-buet, and F. Alexandre, Multi-criteria selforganization: Example of motor-dependant phonetic representation for a multi-modal robot, AI workshop on Neurobotics, 27th Conference on Artificial Intelligence, 2004.

R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction, IEEE Transactions on Neural Networks, vol.9, issue.5, 1998.
DOI : 10.1109/TNN.1998.712192

P. Baraduc and E. Guigon, Population Computation of Vectorial Transformations, Neural Computation, vol.79, issue.2, pp.845-871, 2002.
DOI : 10.1038/370140a0