A. Arsenio, P. Fitzpatrick, C. C. Kemp, and &. G. Metta, The Whole World in Your Hand : Active and Interactive Segmentation, Epigenetic Robotics, Modeling Cognitive Development in Robotic Systems, 2003.

]. H. Barlow, Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology?, Perception, vol.1, issue.2, pp.371-394, 1972.
DOI : 10.1068/p010371

A. J. Bell and &. J. Sejnowski, The ???independent components??? of natural scenes are edge filters, Vision Research, vol.37, issue.23, pp.3327-3338, 1997.
DOI : 10.1016/S0042-6989(97)00121-1

M. H. Bickhard and &. L. Terveen, Foundational issues in artificial intelligence and cognitive science : Impasse and solution, 1995.

S. Bouchired, M. Ibnkahla, and &. W. Paquier, A combined LMS-SOM receiver for rapidly fading nonlinear channels, In EUSIPCO, 1998.

B. Breidegard and &. C. Balkenius, Speech Development by Imitation, Epigenetic Robotics, Modeling Cognitive Development in Robotic Systems, 2003.

R. A. Brooks, A robust layered control system for a mobile robot, IEEE Journal on Robotics and Automation, vol.2, issue.1, pp.14-23, 1986.
DOI : 10.1109/JRA.1986.1087032

]. R. Brooks-91a and . Brooks, Challenges for Complete Creature Architectures, From animals to animats, pp.434-443, 1991.

]. R. Brooks-91b and . Brooks, How to build complete creatures rather than isolated cognitive simulators Références bibliographiques [Brooks 91c] R. Brooks. Intelligence Without Reason, Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI-91), pp.569-595, 1991.

R. A. Brooks, Coherent behavior from many adaptive processes, From Animals to Animats 3 : Proceedings of The Third International Conference on Simulation of Adaptive Behavior, pp.22-29, 1994.

R. A. Brooks, C. Breazeal, R. Irie, C. C. Kemp, M. Marjanovic et al., Alternative Essences of Intelligence, Proceedings of the 15th AAAI, pp.961-968, 1998.

A. Delorme, R. Van-rullen, J. Gautrais, and &. S. Thorpe, SpikeNET: A simulator for modeling large networks of integrate and fire neurons, Neurocomputing, vol.26, issue.27, pp.26-27, 1999.
DOI : 10.1016/S0925-2312(99)00095-8

A. Delorme and &. Thorpe, SpikeNET: an event-driven simulation package for modelling large networks of spiking neurons, Network: Computation in Neural Systems, vol.14, issue.4, pp.613-627, 2003.
DOI : 10.1088/0954-898X_14_4_301

H. L. Dreyfus, What computers can't do : The limits of artificial intelligence, 1979.

]. A. Engel-91a, P. Engel, A. K. König, &. W. Kreiter, and . Singer, Interhemispheric synchronization of oscillatory neuronal responses in cat visual cortex, Science, vol.252, issue.5009, pp.1177-1179, 1991.
DOI : 10.1126/science.252.5009.1177

E. A. Feigenbaum and &. J. Feldman, Computers and thought, 1963.

D. Floreano and &. F. Mondada, Automatic Creation of an Autonomous Agent : Genetic Evolution of a Neural-Network Driven Robot, Proceedings of the Conference on Simulation of Adaptive Behavior, 1994.

C. Gaskett, D. Wettergreen, and &. A. Zelinsky, Q-Learning in Continuous State and Action Spaces, 12th Australian Joint Conference on Artificial Intelligence, 1999.
DOI : 10.1007/3-540-46695-9_35

C. Gaskett, L. Fletcher, and &. A. Zelinsky, Reinforcement learning for a vision based mobile robot, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113), 2000.
DOI : 10.1109/IROS.2000.894638

C. Gaskett, P. Brown, G. Cheng, and &. A. Zelinsky, Learning implicit models during target pursuit, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2003.
DOI : 10.1109/ROBOT.2003.1242231

J. Gautrais and &. S. Thorpe, Rate coding versus temporal order coding: a theoretical approach, Biosystems, vol.48, issue.1-3, pp.57-65, 1998.
DOI : 10.1016/S0303-2647(98)00050-1

W. Gerstner, R. Kempter, J. Van-hemmen, and &. H. Wagner, Hebbian learning of pulse timing in the barn owl auditory system, 1999.

C. M. Gray, P. König, A. K. Engel, and &. W. Singer, Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties, Nature, vol.338, issue.6213, pp.334-337, 1989.
DOI : 10.1038/338334a0

]. S. Grossberg-91a, &. D. Grossberg, and . Somers, Synchronized oscillations during cooperative feature linking in a cortical model of visual perception, Neural Networks, vol.4, issue.4, pp.453-466, 1991.
DOI : 10.1016/0893-6080(91)90041-3

]. S. Grossberg-91b, &. L. Grossberg, and . Wyse, A neural network architecture for figure-ground separation of connected scenic figures, Neural Networks, vol.4, issue.6, pp.723-742, 1991.
DOI : 10.1016/0893-6080(91)90053-8

R. A. Grupen, A developmental Organization for Robot Behavior

E. Prince and . Robotics, Modeling Cognitive Development in Robotic Systems Références bibliographiques [Guillot 02] A. Guillot. Introduction : Histoire des systèmes cognitifs artificiels., approche dynamique de la cognition artificielle, Hermès, 2002.

D. O. Hebb, The organization of behavior : A neuropsychological theory, 1949.

M. L. Hines, A program for simulation of nerve equations with branching geometries, International Journal of Bio-Medical Computing, vol.24, issue.1, pp.55-68, 1989.
DOI : 10.1016/0020-7101(89)90007-X

&. Hines and . Carnevale, Neuron: A Tool for Neuroscientists, The Neuroscientist, vol.91, issue.2, pp.123-135, 2001.
DOI : 10.1177/107385840100700207

A. L. Hodgkin and &. F. Huxley, Propagation of Electrical Signals Along Giant Nerve Fibres, Proceedings of the Royal Society of London. Series B, Biological Sciences, pp.177-183, 1952.
DOI : 10.1098/rspb.1952.0054

]. J. Holland-75 and . Holland, Adaptation in natural artificial systems, 1975.

J. J. Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proceedings of the National Academy of Sciences, pp.2554-2558, 1982.

L. Pack-kaelbling, M. L. Littman, and &. A. Moore, Reinforcement Learning : A Survey, Journal of Artificial Intelligence Research, vol.4, pp.237-285, 1996.

]. F. Kaplan and &. Y. Oudeyer, Motivational Principles for Visual Know-how Development, Epigenetic Robotics, Modeling Cognitive Development in Robotic Systems, 2003.

&. W. Karda and . Freeman, How brains make chaos in order to make sense of the world, Behavioral and Brain Sciences, vol.10, pp.161-195, 1987.

]. S. Koenig and &. R. Simmons, Unsupervised learning of probabilistic models for robot navigation, Proceedings of IEEE International Conference on Robotics and Automation, 1996.
DOI : 10.1109/ROBOT.1996.506507

P. König and &. T. Schillen, Stimulus-Dependent Assembly Formation of Oscillatory Responses: I. Synchronization, Neural Computation, vol.54, issue.2, pp.155-166, 1991.
DOI : 10.1007/BF00288786

P. König, A. K. Engel, P. R. Roelfsema, and &. W. Singer, How precise is neuronal synchronization ? Neural Computation, Neural Computation, issue.7, pp.469-485, 1995.

]. D. Levine, J. Warach, and &. M. Farah, Two visual systems in mental imagery : Dissociation of 'what' and 'where' in imagery disorders due to bilateral posterior cerebral lesions, Neurology, issue.35, pp.1010-1018, 1985.

R. Llinás and &. U. Ribary, Coherent 40-Hz oscillation characterizes dream state in humans., Proceedings of the National Academy of Sciences USA, pp.2078-2082, 1993.
DOI : 10.1073/pnas.90.5.2078

S. Löwel and &. W. Singer, Selection of intrinsic horizontal connections in the visual cortex by correlated neuronal activity, Science, vol.255, issue.5041, pp.209-212, 1992.
DOI : 10.1126/science.1372754

M. Lungarella and &. G. Metta, Beyond Gazing, Pointing, and Reaching, Epigenetic Robotics, Modeling Cognitive Development in Robotic Systems, 2003.

]. P. Maes-90a and . Maes, Situated agents can have goals, Patti Maes, editeur, Designing Autonomous Agents, pp.49-70, 1990.
DOI : 10.1016/S0921-8890(05)80028-4

]. P. Maes-90b, &. R. Maes, and . Brooks, Learning to Coordinate Behaviors, National Conference on Artificial Intelligence, pp.796-802, 1990.

W. S. Mcculloch and &. W. Pitts, A logical calculus of the ideas immanent in nervous activity, The Bulletin of Mathematical Biophysics, vol.5, issue.4, pp.115-133, 1943.
DOI : 10.1007/BF02478259

&. A. Meyer and . Guillot, An Architecture for Autonomy, From animals to animats. Proceedings of the First International Conference on the Simulation of Adaptive Behavior, pp.2-14, 1991.

J. Meyer, A. Berthoz, D. Floreano, H. Roitblat, and &. S. Wilson, From animals to animats 6. proceedings of the 6th intl. conf. on simulation of adaptive behavior, Références bibliographiques [Minsky 68] M.L. Minsky. Semantic information processing, 1968.

M. Mishkin, L. G. Ungerleider, and &. K. Macko, Object vision and spatial vision: two cortical pathways, Trends in Neurosciences, vol.6, pp.414-417, 1982.
DOI : 10.1016/0166-2236(83)90190-X

F. Mondada, F. Mondada, and D. Floreano, Evolution of neural control structures: some experiments on mobile robots, Robotics and Autonomous Systems, vol.16, issue.2-4, pp.183-195, 1995.
DOI : 10.1016/0921-8890(96)81008-6

B. Morisset and &. M. Ghallab, Learning How to Combine Sensory-Motor Modalities for a Robust Behavior, Lecture Notes in Plan-Based Control of Robotic Agents, 2002.
DOI : 10.1007/3-540-37724-7_10

]. S. Nolfi and &. D. Floreano, Evolutionary robotics. the biology, intelligence, and technology of self-organizing machines, Evolutionary Robotics, AAI Books, 2001.

P. Olshausen, &. S. Sallee, and . Lewicki, Learning Sparse Image Codes using a Wavelet Pyramid Architecture, NIPS, pp.887-893, 2000.

]. J. O-'regan-96, J. A. O-'regan, &. J. Rensink, and . Clark, Mud splashes " render picture changes invisible, Investigative Ophthalmology & Visual Science, vol.37, pp.213-157, 1996.

]. J. O-'regan-97, J. A. O-'regan, &. J. Rensink, and . Clark, To see or not to see : the need for attention to perceive changes in scenes, Psychological Science, vol.8, issue.5, pp.368-373, 1997.

W. Paquier and &. M. Ibnkahla, Self-organizing maps for rapidly fading nonlinear channel equalization, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227), 1998.
DOI : 10.1109/IJCNN.1998.685881

]. W. Paquier-00a, A. Paquier, &. S. Delormes, and . Thorpe, Motion Processing Using One Spike per Neuron, Computational Neuroscience Meeting, p.115, 2000.

]. W. Paquier-00b, A. Paquier, R. Delormes, &. S. Vanrullen, and . Thorpe, Détection de mouvements apparents par codage asynchrone, Xemes Journées Neurosciences et Sciences de l'ingénieur, 2000.

W. Paquier and &. R. Chatila, An Architecture for Robot Learning, IAS, pp.575-578, 2002.

]. W. Paquier-03a, &. R. Paquier, and . Chatila, Learning new representations and goals for autonomous robots, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2003.
DOI : 10.1109/ROBOT.2003.1241692

]. W. Paquier-03b, N. Paquier, &. R. Do-huu, and . Chatila, A Unified Model for Developemental Robotics, Epigenetic Robotic, 2003.

K. Pearson, The grammar of science, p.1892

K. Pribram, N. Marc, &. J. Baron, and . Robert, The holographic hypothesis of memory structure in brain function and perception, Contemporary Developments in Mathematical Psychology, vol.II, pp.416-457, 1974.

E. T. Rolls, On The brain and emotion, Behavioral and Brain Sciences, vol.23, issue.2, 2001.
DOI : 10.1017/S0140525X00512424

F. Rosenblatt, The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, pp.386-408, 1958.
DOI : 10.1037/h0042519

F. Rosenblatt, On the convergence of reinforcement procedures in simple perceptrons, 1960.

B. Ruf and &. M. Schmitt, Unsupervised learning in networks of spiking neurons using temporal coding
DOI : 10.1007/BFb0020181

T. B. Schillen and &. P. König, Stimulus-Dependent Assembly Formation of Oscillatory Responses: II. Desynchronization, Neural Computation, vol.3, issue.2, pp.155-166, 1991.
DOI : 10.1007/BF00337113

G. E. Schneider, Two Visual Systems, Science, vol.163, issue.3870, pp.895-902, 1969.
DOI : 10.1126/science.163.3870.895

W. Senn, H. Markram, and &. M. Tsodyks, An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing, Neural Computation, vol.48, issue.3, pp.35-67, 2001.
DOI : 10.1038/25665

C. Shannon, A Chess-Playing Machine, Scientific American, issue.182, pp.48-51, 1950.

]. L. Steels-97a and . Steels, Construction and Sharing Perceptual Distinctions, Proceedings of the European Conference on Machine Learning, 1997.

]. L. Steels-97b and . Steels, The Synthetic Modeling of Language Origins, Evolution of Communication An international multidisciplinary journal, vol.1, issue.1, pp.1-34, 1997.
DOI : 10.1075/eoc.1.1.02ste

L. Steels, The origins of syntax in visually grounded robotic agents, Artificial Intelligence, vol.103, issue.1-2, pp.1-24, 1998.
DOI : 10.1016/S0004-3702(98)00066-6

L. Steels, F. Kaplan, A. Mcintyre, and &. J. Van-looveren, Crucial factors in the origins of word-meaning The Transition to Language, 2002.

]. R. Sutton-98a, &. G. Sutton, and . Barto, Reinforcement Learning: An Introduction, IEEE Transactions on Neural Networks, vol.9, issue.5, 1998.
DOI : 10.1109/TNN.1998.712192

]. R. Sutton-98b, &. G. Sutton, and . Barto, Reinforcement Learning: An Introduction, IEEE Transactions on Neural Networks, vol.9, issue.5, 1998.
DOI : 10.1109/TNN.1998.712192

S. Thorpe and &. J. Gautrais, Rank Order Coding, Computational Neuroscience, pp.113-118, 1998.
DOI : 10.1007/978-1-4615-4831-7_19

URL : https://hal.archives-ouvertes.fr/hal-00111810

S. Thorpe, A. Delorme, R. Vanrullen, and &. W. Paquier, Reverse engineering of the visual system using networks of spiking neurons, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), pp.405-408, 2000.
DOI : 10.1109/ISCAS.2000.858774

S. Thrun, Learning maps for indoor mobile robot navigation, Artificial Intelligence, vol.1, pp.21-71, 1999.

]. L. Ungerleider and &. M. Mishkin, Two cortical visual systems Analysis of Visual Behavior, 1982.

L. G. Ungerleider and &. J. Haxby, 'What' and 'where' in the human brain, Current Opinion in Neurobiology, vol.4, issue.2, pp.157-165, 1994.
DOI : 10.1016/0959-4388(94)90066-3

P. Verschure and &. P. Althaus, A real-world rational agent: unifying old and new AI, Cognitive Science, vol.10, issue.3-4, pp.561-590, 2003.
DOI : 10.1207/s15516709cog2704_1

S. Wermter and &. R. Sun, Hybrid neural systems, volume 1778, 2000.

M. A. Wilson, U. S. Bhalla, J. D. Uhley, and &. J. Bower, Genesis : A system for simulating neural networks, Advances in Neural Information Processing Systems, pp.485-492, 1989.

M. Jabri, Sparse Visual Models for Biologically Inspired Sensory- Motor Control, Epigenetic Robotics, Modeling Cognitive Development in Robotic Systems, 2003.

&. J. Zhang and . Weng, Conjunctive Visual and Auditory Development via Real-Time Dialogue, Epigenetic Robotics, Modeling Cognitive Development in Robotic Systems, 2003.