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Author Title [ Type(Asc)] Year
Journal Article
Wessnitzer J and Webb, B., Multimodal sensory integration in insects--towards insect brain control architectures., Bioinspir Biomim. , vol. 1, no. 3, 2006.
Grillner S, The motor infrastructure: from ion channels to neuronal networks., Nat Rev Neurosci., vol. 4, no. 7, 2003.
R. S. Prabhakara, Wright, C. H. G., and Barrett, S. F., Motion Detection: A Biomimetic Vision Sensor Versus a CCD Camera Sensor , Sensors Journal, IEEE , vol. 12, no. 2, pp. 298 - 307 , 2012.
J. Bongard, Morphological change in machines accelerates the evolution of robust behavior, PNAS, vol. 108, no. 4, 2011.
F. Tanaka and et, al., Molecular Robots with Sensors and Intelligence, Accounts of Cehmical Research, vol. 47, no. 6, pp. 1681–1690, 2014.
G. Indiveri, Modeling Selective Attention Using a Neuromorphic Analog VLSI Device, Neural Computation , vol. 12, no. 12, 2000.
B. Baddeley, Graham, P., Husbands, P., and Philippides, A., A Model of Ant Route Navigation Driven by Scene Familiarity, PLoS Comput Biol, 2012.
Paolo Dario, Maria Chiara Carrozza,, Antonella Benvenuto,, and Arianna Menciassi, Micro-systems in biomedical applications , Journal of Micromechanics and Microengineering Volume 10 Number 2 , vol. 10, no. 2 , 2000.
César Rennó-Costa, John E. Lisman,, and Verschure, P. M. J. F., The Mechanism of Rate Remapping in the Dentate Gyrus, Neuron, vol. Volume 68, no. Issue 6, 2010. The Mechanism of Rate Remapping in the Dentate Gyrus.pdf (445.55 KB)
Q. Guo, Wang, S. G., Li, X. B., and Cao, Z. L., The Mechanical Structure Design of Behavior Training System, Applied Mechanics and Materials, vol. 151, 2012.
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.
S. N. Patek, Materials science. Biomimetics and evolution., Science, vol. 345, no. 6203, pp. 1448-9., 2014.
P. Ball, Material witness: Soft-hearted robots, Nature Materials, vol. 13, p. 327, 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.
M. A. Sanchez-Montanes, König, P., and Verschure, P. M. J. F., Learning sensory maps with real-world stimuli in real time using a biophysically realistic learning rule, Neural Networks, IEEE Transactions on Neural Networks, vol. 13, no. 3 , 2002.
GM., Edelman, Learning in and from brain-based devices., Science, vol. 318, no. 5853, pp. 1103-5, 2007.
T. J. Prescott, Peter Redgrave,, and Kevin Gurney, Layered Control Architectures in Robots and Vertebrates, Adaptive Behavior , vol. 7 , no. 1, 1999.
F. Li, Liu, W., Fu, X., Bonsignori, G., Scarfogliero, U., Stefanini, C., and Paolo Dario, Jumping like an insect: Design and dynamic optimization of a jumping mini robot based on bio-mimetic inspiration, Mechatronics, vol. 22, no. 2, 2012.
A. E. Rawlings, Bramble, J. P., and Staniland, S. S., Innovation through imitation: biomimetic, bioinspired and biokleptic research, Soft Matter, vol. 9, no. 7, 2013.
M. Bashiri, Vatankhah, H., and Ghidary, S. S., Hybrid adaptive differential evolution for mobile robot localization , Intelligent Service Robotics, vol. 5, no. 2, pp. 99-107, 2012.
M. Alimardani, Nishio, S., and Ishiguro, H., Humanlike robot hands controlled by brain activity arouse illusion of ownership in operators, Scientific Report, vol. 3, no. doi: 10.1038/srep02396., 2013.
P. Abreu, Moreira, J., Costa, I., Castelão, D., Reis, L., and Garganta, J., Human versus virtual robotics soccer: A technical analysis, European Journal of Sport Science , vol. 12, no. 1, pp. 26-35, 2012.
S. Lallée and Verschure, P. F., How? Why? What? Where? When? Who? Grounding Ontology in the Actions of a Situated Social Agent., Robotics, vol. 4, no. 2, 2015.
F. L. Moro, Spröwitz, A., Tuleu, A., Vespignani, M., and Tsagarakis, N. G., Horse-like walking, trotting, and galloping derived from kinematic Motion Primitives (kMPs) and their application to walk/trot transitions in a compliant quadruped robot, 107, vol. 3, 2013.
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.

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