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Author Title Type [ Year(Asc)]
W. C. Messner, Paik, J., Shepherd, R., Sangbae, K., and Trimmer, B. A., Energy for Biomimetic Robots: Challenges and Solutions, Soft Robotics. , vol. 1, no. 2, pp. 106-109, 2014.
G. Deco and Kringelbach, M. L., Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders., Neuron, vol. 84, no. 5, 2014.
V. Vouloutsi, Grechuta, K., Lallée, S., and Verschure, P. F. M. J., The Influence of Behavioral Complexity on Robot Perception., Biomimetic and Biohybrid Systems, Third International Conference, Living Machines 2014, Milan, , Springer International Publishing vol. 2014.
M. H. Evans, Fox, C. W., and Prescott, T. J., Machines Learning-Towards a New Synthetic Autobiographical Memory., In Biomimetic and Biohybrid Systems , vol. 8608, 2014.
P. Ball, Material witness: Soft-hearted robots, Nature Materials, vol. 13, p. 327, 2014.
S. N. Patek, Materials science. Biomimetics and evolution., Science, vol. 345, no. 6203, pp. 1448-9., 2014.
S. Budday, Raybaud, C., and Kuhl, E., A mechanical model predicts morphological abnormalities in the developing human brain, Scientific Reports, vol. 4, no. 5644, 2014.
F. Tanaka and et, al., Molecular Robots with Sensors and Intelligence, Accounts of Cehmical Research, vol. 47, no. 6, pp. 1681–1690, 2014.
G. Marcus, Marblestone, A., and Dean, T., Neuroscience. The atoms of neural computation., Science, vol. 346, no. 6209, pp. 551-2, 2014.
B. Mazzolai, Beccai, L., and Mattoli, V., Plants as Model in Biomimetics and Biorobotics: New Perspectives, Front Bioeng Biotechnol., vol. 2, no. 2, pp. 1-5, 2014.
G. Pezzulo, Verschure, P. F. M., Balkenius, C., and Pennartz, C. M., The principles of goal-directed decision-making: from neural mechanisms to computation and robotics., Philos Trans R Soc Lond B Biol Sci. , vol. 369, no. 1655, 2014.
M. Milford and Schulz, R., Principles of goal-directed spatial robot navigation in biomimetic models, Philosophical transaction B , vol. 369, pp. 1-13, 2014.
D. Floreano, A. Ijspeert, J., and Schaal, S., Robotics and Neuroscience, Current Biology, vol. 24, no. 18, pp. R910–R920, 2014.
C. Laschi and Cianchetti, M., Soft Robotics: New Perspectives for Robot Bodyware and Control, Front Bioeng Biotechnol., vol. 2, no. 3, 2014.
H. Duan and Sun, C., Swarm intelligence inspired shills and the evolution of cooperation, Scientific Reports, vol. 4, no. 5210, 2014.
E. Matthew R., Wright, C. Rika, and Jiang, Z., Swimming characterization of Serratia marcescens for bio-hybrid micro-robotics, Journal of Micro-Bio Robotics , vol. ISSN: 2194-6418, 2014.
C. Cvetkovic and et, al., Three-dimensionally printed biological machines powered by skeletal muscle., Proc Natl Acad Sci U S A. , vol. 111, no. 28, 2014.
M. Maniadakis, Wittmann, M., Droit-Volet, S., and Choe, Y. 4., Toward embodied artificial cognition: TIME is on my side., Frontiers in neurorobotics, vol. 8, no. 25, 2014.
B. Corominas-Murtra, Fortuny, J., and Solé, R. V., Towards a mathematical theory of meaningful communication, Scientific Report, vol. 4, no. 4587, 2014.
P. F. M. J. Verschure, Pennartz, C., and Pezzulo, G., The Why, What, Where, When and How of Goal Directed Choice: neuronal and computational principles, Philos Trans R Soc Lond B Biol Sci., vol. 369, no. 1655, 2014.