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Journal Article

N. Yu, Li, T., and Fang, L. &, “The Hippocampal Spatial Cognitive Mechanism and Its Application in the Biomimetic Robot Navigation.”, Biotechnology Frontier, vol. 4, no. 1, 2015.

R. Leonardo, Arianna, M., and Keisuke, M., “Guest editorial introduction to the Special Issue on bio-hybrid systems and living machines”, Biomedical Microdevices, vol. 14 , no. 6, 2012.

G. Deco and Kringelbach, M. L., “Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders.”, Neuron, vol. 84, no. 5, 2014.

N. Ouannes, Djedi, N. E., Duthen, Y., and Luga, H., “Gait Evolution for Humanoid Robot in a Physically Simulated Environment ”, Studies in Computational Intelligence, vol. 374, 2012.

Sanz R, Hernández C,, Gómez J,, and Hernando A, “A functional approach to emotion in autonomous systems.”, Adv Exp Med Biol. , vol. 657, 2010.

Fernandez-Leon JA, Acosta GG,, and Mayosky MA, “From network-to-antibody robustness in a bio-inspired immune system.”, Biosystems. , vol. [Epub ahead of print], 2011.

A. Bicanski, Ryczko, D., Cabelguen, J. M., and Ijspeert, A. J., “From lamprey to salamander: an exploratory modeling study on the architecture of the spinal locomotor networks in the salamander”, Biological Cybernetics, vol. 107, no. 5, 2013.

S. Bermudez i Badia, Pyk, P., and Verschure, P. M. J. F., “A fly-locust based neuronal control system applied to an unmanned aerial vehicle: the invertebrate neuronal principles for course stabilization, altitude control and collision avoidance”, The International Journal of Robotics Research, vol. 26, 2007.

S. Marras and Porfiri, M., “Fish and robots swimming together: attraction towards the robot demands biomimetic locomotion”, Journal of The Royal Society, 2012.

“Evolving Self-Organizing Behaviors for a Swarm-Bot”, Autonomous Robots, vol. 17, no. 2-3, 2004.

F. Pasemann, Rempis, C., and von Twickel, A., “Evolving Humanoid Behaviors for Language Games ”, Language Grounding in Robots, pp. 67-86, 2012.

D. Floreano and J. Urzelai, “Evolutionary robots with on-line self-organization and behavioral fitness ”, Neural Networks , vol. 13, no. 4-5, 2000.

G. Morlino, Trianni, V., and Tuci, E., “Evolution of Collective Perception in a Group of Autonomous Robots ”, Studies in Computational Intelligence, vol. 399, pp. 67-80, 2012.

G. Morlino, Trianni, V., and Tuci, E., “Evolution of Collective Perception in a Group of Autonomous Robots ”, Computational Intelligence, vol. 399, pp. 67-80, 2012.

R. A. Grant, Haidarliu, S., Kennerley, N. J., and Prescott, T. J., “The evolution of active vibrissal sensing in mammals: Evidence from vibrissal musculature and function in the marsupial possum Monodelphis domestica.”, Journal of Experimental Biology, vol. 216, no. 18, 2013.

H. Mostafa, Muller, L. K., and Indiveri, G. &, “An event-based architecture for solving constraint satisfaction problems. ”, Nature communications, vol. 6, 2015.

M. Xu, Shuxiang, G., Nan, X., and Shunichi, Y., “Evaluating performance of a novel developed robotic catheter manipulating system”, Journal of Micro-Bio Robotics , vol. ISSN: 2194-6418, 2013.

N. Bredeche, Montanier, J. - M., Liu, W., and Winfield, A. F. T., “Environment-driven distributed evolutionary adaptation in a population of autonomous robotic agents”, Mathematical and Computer Modelling of Dynamical Systems, vol. 18, no. 1, pp. 101-129, 2012.

P. M. J. F. Verschure, Voegtlin, T., and Douglas, R. J., “Environmentally mediated synergy between perception and behaviour in mobile robots”, Nature, vol. 425, no. 6958, 2003.

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.

J. B. Mouret and Doncieux, S., “Encouraging behavioral diversity in evolutionary robotics: An empirical study”, Evolutionary Computation, vol. 20, no. 1, 2012.

R. Berdan, Vasilaki, E., Khiat, A., Indiveri, G., Serb, A., and Prodromakis, T. &, “ Emulating short-term synaptic dynamics with memristive devices.”, Scientific reports, vol. 6, 2016.

G. Maffei, Santos-Pata, D., Marcos, E., Sanchez-Fibla, M., and Verschure, P. F. &, “An embodied biologically constrained model of foraging: from classical and operant conditioning to adaptive real-world behavior in DAC-X.”, Neural Networks, vol. 72, pp. 88-108, 2015.

M. Sim and Kim, D. E., “Electrolocation of multiple objects based on temporal sweep motions”, Adaptive Behavior, 2012.

K. A. Daltorio, Boxerbaum, A. S., Horchler, A. D., Shaw, K. M., Chiel, H. J., and Quinn, R. D., “Efficient worm-like locomotion: slip and control of soft-bodied peristaltic robots”, Bioinspiration & biomimetics , vol. 8, no. 3, 2013.

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