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2016

T. J. Prescott and Dürr, V. &, “Introduction: The World of Touch.”, in Scholarpedia of Touch , Atlantis Press, 2016, pp. pp. 1-28.

2015

X. Arsiwalla, Dalmazzo, D., Zucca, R., Betella, A., Brandi, S., Martinez, E., P., O., and Verschure, P. &, “Connectomics to Semantomics: Addressing the Brain's Big Data Challenge”, Procedia Computer Science, vol. 53, pp. 48-55, 2015.

M. F. Silva, Malheiro, B., Guedes, P., Ferreira, P., Ribeiro, C., Ferreira, F., and Duarte, A. J. &, “Development of biomimetic robots in the EPS engineering programme capstone project.”, In Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality. ACM. (2015, October). , pp. pp. 227-234, 2015.

Y. Du, Liu, B., Xu, M., Dong, E., Zhang, S., and Yang, J. &, “Dynamic characteristics of planar bending actuator embedded with shape memory alloy.”, Mechatronics, 25, 18-26. (2015), vol. 25, pp. 18-26, 2015.

Y. Du, Liu, B., Xu, M., Dong, E., Zhang, S., and Yang, J. &, “Dynamic characteristics of planar bending actuator embedded with shape memory alloy.”, Mechatronics, 25, 18-26. (2015), vol. 25, pp. 18-26, 2015.

X. D. Arsiwalla, Zucca, R., Betella, A., Martinez, E., Dalmazzo, D., Omedas, P., and Verschure, P. F. &, “ Network dynamics with BrainX3: a large-scale simulation of the human brain network with real-time interaction.”, Frontiers in neuroinformatics., vol. 9, 2015.

S. C. Liu, Delbruck, T., Indiveri, G., Whatley, A., and Douglas, R. &, “ On‐Chip AER Communication Circuits. ”, Event-Based Neuromorphic Systems, pp. 285-303, 2015.

S. C. Liu, Delbruck, T., Indiveri, G., Whatley, A., and Douglas, R. &, “ On‐Chip AER Communication Circuits. ”, Event-Based Neuromorphic Systems, pp. 285-303, 2015.

2014

S. De Faveri and et, al., “Bio-inspired hybrid microelectrodes: a hybrid solution to improve long-term performance of chronic intracortical implants.”, Front Neuroeng., vol. 7, no. 7, 2014.

A. Duff, Lepora, N. F., Mura, A., Prescott, J. P., and Verschure, P. F. M. J., “Biomimetic and Biohybrid Systems”, Third International Conference, Living Machines 2014, Milan, Italy, July 30 – August 1, 2014. , vol. 8608 . 2014.

P. DeLellis and et, al., “Collective behaviour across animal species.”, Scientific Reports, vol. 4, no. 3723, 2014.

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

G. Marcus, Marblestone, A., and Dean, T., “Neuroscience. The atoms of neural computation.”, Science, vol. 346, no. 6209, pp. 551-2, 2014.

H. Duan and Sun, C., “Swarm intelligence inspired shills and the evolution of cooperation”, Scientific Reports, vol. 4, no. 5210, 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.

2013

T. Petrič, Gams, A., Debevec, T., lajpah, L. Ž., and Babič, J., “Control approaches for robotic knee exoskeleton and their effects on human motion”, Advanced Robotics, vol. 27, no. 13, pp. 993-1002, 2013.

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.

G. A. Tabot, Dammann, J. F., Berg, J. A., Tenore, F. V., Boback, J. L., Vogelstein, R. J., and Bensmaia, S. J., “Restoring the sense of touch with a prosthetic hand through a brain interface”, Proc Natl Acad Sci USA, vol. 110 , no. 45, 2013.

S. Sareh, Rossiter, J., Conn, A., Drescher, K., and Goldstein, R. E., “Swimming like algae: biomimetic soft artificial cilia”, J. R. Soc. Interface, vol. 10, no. 78, 2013.

2012

O. Yarkoni, Donlon, L., and Frankel, D., “Creating a bio-hybrid signal transduction pathway: opening a new channel of communication between cells and machines ”, Bioinspir. Biomim., vol. 4, 2012.

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

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.

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.

S. Wischmann, Dario Floreano,, and Keller, L., “Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots ”, PNAS, pp. 864-868, 2012.

N. F. Lepora, Fox, C. W., Evans, M. H., Diamond, M. E., Kevin Gurney,, and Prescott, T. J., “Optimal decision-making in mammals: insights from a robot study of rodent texture discrimination”, Journal of The Royal Society, 2012.

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