P. Oudeyer, Developmental robotics, Encyclopedia of the Sciences of Learning, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00652123

S. Kirstein, E. Wersing, and . Körner, Towards autonomous bootstrapping for lifelong learning categorization tasks, In IJCNN, pp.1-8, 2010.

B. Ridge, A. Skocaj, and . Leonardis, A system for learning basic object affordances using a self-organizing map, Proceedings of the 1st Int. Conf. on Cognitive Systems, 2008.

B. Ridge, A. Sko?aj, and . Leonardis, Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems, 2010 IEEE International Conference on Robotics and Automation, 2010.
DOI : 10.1109/ROBOT.2010.5509544

E. Valenza, . Simion, C. Vm-cassia, and . Umilt, Face preference at birth. J Exp Psych: Human Perception and Performance, 1996.

M. Shibasaki and N. Kawai, Rapid detection of snakes by Japanese monkeys (Macaca fuscata): An evolutionarily predisposed visual system., Journal of Comparative Psychology, vol.123, issue.2, 2009.
DOI : 10.1037/a0015095

R. Soussignan, . Schaal, T. Marlier, and . Jiang, Facial and Autonomic Responses to Biological and Artificial Olfactory Stimuli in Human Neonates, Physiology & Behavior, vol.62, issue.4, pp.745-758, 1997.
DOI : 10.1016/S0031-9384(97)00187-X

I. Jebari, . Bazeille, . Battesti, . Tekaya, . Klein et al., Multi-sensor semantic mapping and exploration of indoor environments, 2011 IEEE Conference on Technologies for Practical Robot Applications, 2011.
DOI : 10.1109/TEPRA.2011.5753498

URL : https://hal.archives-ouvertes.fr/hal-00652471

A. Gepperth, . Rebhan, J. Hasler, and . Fritsch, Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues, Cognitive Computation, vol.10, issue.2, pp.146-166, 2011.
DOI : 10.1007/s12559-010-9092-x

URL : https://hal.archives-ouvertes.fr/hal-00647809

C. Faubel and G. Schöner, Learning to recognize objects on the fly: A neurally based dynamic field approach, Neural Networks, vol.21, issue.4, pp.562-576, 2008.
DOI : 10.1016/j.neunet.2008.03.007

P. König and N. Krüger, Symbols as Self-emergent Entities in an Optimization Process of Feature Extraction and Predictions, Biological Cybernetics, vol.4, issue.2, 2006.
DOI : 10.1007/s00422-006-0050-3

R. Rao and D. Ballard, Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects, Nature Neuroscience, vol.2, issue.1, p.79, 1999.
DOI : 10.1038/4580

K. Friston, Learning and inference in the brain, Neural Networks, vol.16, issue.9, pp.1325-1352, 2003.
DOI : 10.1016/j.neunet.2003.06.005

M. Spratling, Predictive coding as a model of biased competition in visual attention, Vision Research, vol.48, issue.12, pp.1391-1408, 2008.
DOI : 10.1016/j.visres.2008.03.009

C. Bishop, Pattern recognition and machine learning, 2006.

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

R. French, Catastrophic forgetting in connectionist networks, Trends in Cognitive Sciences, vol.3, issue.4, pp.128-135, 1999.
DOI : 10.1016/S1364-6613(99)01294-2

R. Reed, R. Marks, and I. , Neural smithing: Supervised Learning in Feedforward Artificial Neural Networks, 1999.

A. Hyvarinen, Independent component analysis, 2001.

B. Olshausen and D. Field, Sparse coding with an overcomplete basis set: A strategy employed by V1?, Vision Research, vol.37, issue.23, pp.3311-3325, 1997.
DOI : 10.1016/S0042-6989(97)00169-7

S. Haykin, Neural networks: a comprehensive foundation, 1999.

T. Heskes, Energy functions for self-organizing maps, Kohonen Maps, pp.303-315, 1999.
DOI : 10.1016/B978-044450270-4/50024-3