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A, Abbott, “Neuroprosthetics: in search of the sixth sense.”, Nature , vol. 442, no. 7099, 2006.

F. Corradi and Indiveri, G. &, “A neuromorphic event-based neural recording system for smart brain-machine-interfaces. ”, Biomedical Circuits and Systems, IEEE Transactions on, vol. 9, no. 5, pp. 699-709, 2015.

N. S. Szczecinski, Brown, A. E., Bender, J. A., Quinn, R. D., and Ritzmann, R. E., “A Neuromechanical Simulation of Insect Walking and Transition to Turning of the Cockroach Blaberus discoidalis”, Biological Cybernetics, vol. 108, no. 1, pp. doi:10.1007/s00422-013-0573-3, 2013.

R. Hogri and et, al., “A neuro-inspired model-based closed-loop neuroprosthesis for the substitution of a cerebellar learning function in anesthetized rats”, vol. 5, no. 8451, 2015.

M. M. Waldrop, “Neuroelectronics: Smart connections”, Nature, vol. 503, no. 7474, 2013.

Bicho E, Erlhagen W,, Louro L,, and Costa E Silva E, “Neuro-cognitive mechanisms of decision making in joint action: A human-robot interaction study.”, Hum Mov Sci., vol. [Epub ahead of print], 2011.

Y. Bassil, “Neural Network Model for Path-Planning of Robotic Rover Systems”, International Journal of Science and Technology, vol. 2, no. 2, pp. 94-100, 2012.

Averbeck BB, Latham PE,, and Pouget A, “Neural correlations, population coding and computation.”, Nat Rev Neurosci. , vol. 7, no. 5, pp. 358-66., 2006.

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.

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Y. Zhang, Li, L., Zhou, Y., Su, T., Ma, J. - T., and Hu, X. - M., “Multi-sensor Augmented Reality Tracking Based on Robot Hand-Eye Calibration ”, Advances in Intelligent and Soft Computing, vol. 137, pp. 51-57, 2012.

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.

L. Lopez, Vouloutsi, V., Chimeno, A. E., Marcos, E., i Badia, S. B., Mathews, Z., Verschure, P. F. M. J., Ziyatdinov, A., and i Lluna, A. P., “Moth-Like Chemo-Source Localization and Classification on an Indoor Autonomous Robot”, in On Biomimetics, 2011.

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.

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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.

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