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C

Cardon A, “Artificial consciousness, artificial emotions, and autonomous robots.”, Cogn Process. , vol. 7, no. 4, 2006.

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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.

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.

J. Bongard, “Morphological change in machines accelerates the evolution of robust behavior”, PNAS, vol. 108, no. 4, 2011.

L. L. Bologna, Pinoteau, J., Passot, J. B., Garrido, J. A., Vogel, J., Vidal, E. R., and Arleo, A., “A closed-loop neurobotic system for fine touch sensing”, Journal of Neural Engineering, vol. 10, no. 4, 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.

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.

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.

Bemelmans R, Gelderblom GJ,, Jonker P,, and de Witte L, “Socially Assistive Robots in Elderly Care: A Systematic Review into Effects and Effectiveness.”, J Am Med Dir Assoc. , vol. [Epub ahead of print], 2010.

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.

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.

S. Bartsch, Birnschein, T., Römmermann, M., Hilljegerdes, J., Kühn, D., and Kirch, F., “Development of the six-legged walking and climbing robot spaceclimber”, Journal of Field Robotics, 2012.

T. Bartolini, Mwaffo, V., Showler, A., Macrì, S., Butail, S., and Porfiri, M. &, “Zebrafish response to 3D printed shoals of conspecifics: the effect of body size.”, Bioinspiration & biomimetics, vol. 11, no. 2, p. 026003. 2016, 2016.

T. Bartolini, Mwaffo, V., Showler, A., and Macrì, S., “Zebrafish response to 3D printed shoals of conspecifics: the effect of body size.”, Bioinspiration & biomimetics, vol. 11, no. 2, p. 026003. 2016, 2015.

Bar-Cohen, Y., “Biomimetics--using nature to inspire human innovation.”, Bioinspir Biomim., vol. 1, no. 1, 2006.

P. Ball, “Material witness: Soft-hearted robots”, Nature Materials, vol. 13, p. 327, 2014.

B. Baddeley, Graham, P., Husbands, P., and Philippides, A., “A Model of Ant Route Navigation Driven by Scene Familiarity”, PLoS Comput Biol, 2012.

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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. 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.

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.

X. D. Arsiwalla and Verschure, P. &, “Computing Information Integration in Brain Networks. ”, Advances in Network Science (pp. 136-146). , vol. 9564 of Springer International Publishing., pp. 136-146, 2016.

D. Armin, Sanchez-Fibla, M., and Verschure, P. M. J. F., “A biologically based model for the integration of sensory-motor contingencies in rules and plans: A prefrontal cortex based extension of the Distributed Adaptive Control architecture.”, Brain Res Bull, vol. Article in Press, 2010.

A. Arleo and Gerstner, W., “Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity”, Biological Cybernetics, vol. 83, no. 3, 2000.

Andrew H. Fagg, Nicholas G. Hatsopoulos,, Victor de Lafuente6,, Karen A. Moxon,, Nemati, S., James M. Rebesco,, Ranulfo Romo,, Sara A. Solla,, Jake Reimer,, Dennis Tkach,, Eric A. Pohlmeyer,, and Miller, L. E., “Biomimetic Brain Machine Interfaces for the Control of Movement”, The Journal of Neuroscience, vol. 27, no. 44, 2007.

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