Development of the brain depends on the visual environment, Nature, vol.228, pp.477-478, 1970. ,
Resilient machines through continuous self-modeling, Science, vol.314, pp.1118-1121, 2006. ,
Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis, Annu. Rev. Neurosci, vol.35, pp.485-508, 2012. ,
Reinforcing the driving quality of soccer playing robots by anticipation, Inf. Technol, vol.47, pp.250-257, 2005. ,
Reinforcement active learning hierarchical loops, The 2011 International Joint Conference on, pp.3008-3015, 2011. ,
Movement-produced stimulation in the development of visually guided behavior, J. Comp. Physiol. Psychol, vol.56, pp.872-876, 1963. ,
Online learning of the body schema, Int. J. HR, vol.5, pp.161-181, 2008. ,
Body schema in robotics: a review, IEEE Trans. Auton. Ment. Dev, vol.2, pp.304-324, 2010. ,
Maximizing learning progress: an internal reward system for development, Embodied Artificial Intelligence, pp.259-270, 2004. ,
Empowerment: a universal agent-centric measure of control, Evolutionary Computation, 2005. The, vol.1, pp.128-135, 2005. ,
Tracking information flow through the environment: simple cases of stigmergy, Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems, pp.563-568, 2004. ,
Fast damage recovery in robotics with the t-resilience algorithm, Int. J. Rob. Res, vol.32, pp.1700-1723, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00932862
Modeling spatial knowledge, Cogn. Sci, vol.2, pp.129-153, 1978. ,
A nonlinear approach to space dimension perception by a naive agent, Intelligent Robots and Systems (IROS), pp.3253-3259, 2012. ,
Aspects of the theory of artificial intelligence, The Proceedings of the First International Symposium on Biosimulation Locarno, pp.83-104, 1960. ,
A history of spike-timingdependent plasticity, Front. Syn. Neurosci, vol.3, p.4, 2011. ,
The Foundations of Geometry and Induction, 1929. ,
A sensorimotor account of vision and visual consciousness, Behav. Brain. Sci, vol.24, pp.939-972, 2001. ,
Is there something out there? inferring space from sensorimotor dependencies, Neural Comput, vol.15, pp.2029-2049, 2003. ,
URL : https://hal.archives-ouvertes.fr/hal-00143855
Map learning with uninterpreted sensors and effectors, Artif. Intell, vol.92, pp.169-227, 1997. ,
Science and Hypothesis, 1905. ,
A neural network model for the acquisition of a spatial body scheme through sensorimotor interaction, Neural Comput, vol.23, pp.1821-1834, 2011. ,
On-line regression algorithms for learning mechanical models of robots: a survey, Rob. Auton. Syst, vol.59, pp.1115-1129, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00629133
Learning abstract perceptual notions: the example of space, Development and Learning and Epigenetic Robotics (ICDL-Epirob), pp.368-373, 2014. ,
A stroll through the worlds of animals and men: a picture book of invisible worlds, Instinctive Behavior: The Development of a Modern Concept, pp.5-80, 1957. ,
Theoretical understanding of the early visual processes by data compression and data selection, Network, vol.17, pp.301-334, 2006. ,