Learning new motion primitives in the mirror neuron system: A self-organising computational model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6226 LNAI, Issue , 2010, Pages 413-423

  Thill, Serge ^a   Ziemke, Tom ^a  

^a UNIVERSITY OF SKÖVDE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL MODEL; IN-BUILDINGS; IN-LINE; MIRROR NEURONS; MIRROR-NEURON SYSTEM; MOTION PRIMITIVES; NEUROSCIENTIFIC EVIDENCE; SELF-ORGANISING; SELF-ORGANISING MAPS;

ANIMALS; COGNITIVE SYSTEMS; NEUROPHYSIOLOGY;

MIRRORS;

EID: 78249269820     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15193-4_39     Document Type: Conference Paper

References (16)

1. Bonaiuto, J., Rosta, E., Arbib, M.A.: Extending the mirror neuron system model, I. Biological Cybernetics 96, 9-38 (2007)
2. Chersi, F., Mukovskiy, A., Fogassi, L., Ferrari, P.F., Erlhagen, W.: A model of intention understanding based on learned chains of motor acts in the parietal lobe. In: Proceedings of the 15th Annual Computational Neuroscience Meeting, Edinburgh, UK (2006)
3. Der, R., Martins, G.: From motor babbling to purposive actions: Emerging self-exploration in a dynamical systems approach to early robot development. In: From Animals to Animats, vol. 9, pp. 406-421 (2006)
4. Erlhagen, W., Mukovskiy, A., Chersi, F., Bicho, E.: On the development of intention understanding for joint action tasks. In: Proceedings of the 6th IEEE International Conference on Development and Learning. Imperial College, London (2007)
5. Fogassi, L., Ferrari, P.F., Gesierich, B., Rozzi, S., Chersi, F., Rizzolatti, G.: Parietal lobe: from action organization to intention understanding. Science 308, 662-667 (2005) (Pubitemid 40594381)
6. Hickok, G.: Eight problems for the mirror neuron theory of action understanding in monkeys and humans. Journal of Cognitive Neuroscience 21(7), 1229-1243 (2008)
7. Koenig, N., Matarić, M.J.: Behavior-based segmentation of demonstrated tasks. In: Proc. of Int. Conf. on Development and Learning (2006)
8. Kohonen, T.: Self-organizing maps. Springer, Heidelberg (1997)
9. Kulić, D., Nakamura, Y.: Scaffolding on-line segmentation of fully body human motion patterns. In: IEEE Int. Conf. on Intelligent Robots and Systems, pp. 2860-2866 (2008)
10. Lieberman, J., Breazeal, C.: Improvements on action parsing and action interpolatin for learning through demonstration. In: IEEE/RAS Int. Conf. on Humanoid Robots, pp. 342-365 (2004)
11. Meltzoff, A.N., Moore, K.M.: Explaining facial imitation: a theoretical model. Early Development and Parenting 6(2), 179-192 (1997)
12. Oztop, E., Kawato, M., Arbib, M.A.: Mirror neurons and imitation: A computationally guided review. Neural Networks 19, 254-271 (2006) (Pubitemid 43728553)
13. Pomplun, M., Matarić, M.J.: Evaluation metrics and results of human arm movement imitation. In: IEEE-RAS Int. Conf. on Humanoid Robotics (2000)
14. Rizzolatti, G., Fadiga, L., Gallese, V., Fogassi, L.: Premotor cortex and the recognition of motor actions. Cognitive Brain Research 3(2), 131-141 (1996)
15. Wermter, S., Elshaw, M., Farrand, S.: A modular approach to self-organization of robot control based on language instruction. Connection Science 15(2-3), 73-94 (2003) (Pubitemid 37403088)
16. Yamashita, Y., Tani, J.: Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment. PLoS Computational Biology 4(11), 1-18 (2008)