This work was supported by the EU Integrating Project - ITALK (214886) within the FP7 ICT programme - Cognitive Systems, Interaction and Robotics.
[1] K. A. Thoroughman and R. Shadmehr, “Learning of action through adaptive combination of motor primitives,” Science, vol. 407, pp. 742–747, 2000.
[2] A. d’Avella, A. Portone, L. Fernandez, and F. Lacquaniti, “Control of fast-reaching movements by muscle synergy combinations,” Neuroscience, vol. 26, no. 30, pp. 7791–7810, 2006.
[3] Y. Yamashita and J. Tani, “Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment,” PLoS Computational Biology, vol. 4, no. 11, 2008.
[4] D. M. Wolpert and M. Kawato, “Multiple paired forward and inverse models for motor control,” Neural Networks, pp. 1317–1329, 1998.
[5] J. Tani and S. Nolfi, “Learning to perceive the world as articulated: an approach for hierarchical learning in sensory–motor systems,” Neural Networks, p. 1131–1141, 1999.
[6] R. Huys, A. Daffertshofer, and P. J. Beek, “Multiple time scales and multiform dynamics in learning to juggle,” Motor Control, vol. 8, pp. 188–212, 2004.
[7] F.Varela,J.P.Lachaux,E.Rodriguez,andJ.Martinerie,“Thebrainweb:phasesynchronizationandlarge-scaleintegration,”NatureReviewsNeuroscience, vol. 2, pp. 229–239, 2001.
[8] G.Metta,L.Natale,F.Nori,G.Sandini,D.Vernon,L.Fadiga,C.vonHofsten,K.Rosander,M.Lopes,J.Santos-Victor,A.Bernardino,andL.Montesano, The icub humanoid robot: An open-systems platform for research in cognitive development,” Neural Networks, vol. 23, no. 8-9, pp. 1125–1134, 2010.
[9] M. Peniak, A. Morse, C. Larcombe, S. Ramirez-Contla, and A. Cangelosi, “Aquila: An open-source gpu-accelerated toolkit for cognitive robotics research,” in International Joint Conference on Neural Networks (IJCNN) 2011, San Jose, California, in press.
[10] M. Tomasello, Constructing a language. Cambridge, Massachusetts: Harvard University Press, 2003.