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A

I. Herreros and Verschure, P. F. &, “About the goal of a goals’ goal theory.”, Cognitive neuroscience, vol. 6, no. 4, pp. 218-219, 2015.

C. Cecchetto, Mahmud, M., and Vassanelli, S. &, “Anesthesia effect on single local field potentials variability in rat barrel cortex: Preliminary results.”, In Engineering in Medicine and Biology Society (EMBC) , vol. 37th Annual International Con. 2015.

C. Moulin-Frier, Sanchez-Fibla, M., and Verschure, P. F. &, “Autonomous development of turn-taking behaviors in agent populations: A computational study. ”, Development and Learning and Epigenetic Robotics (ICDL-EpiRob), . Joint IEEE Interna, 2015.

B

R. Jung, Chen, L., Xie, J., Yoon, H., Srivatsan, M., Harbaugh, R. E., and Varadan, V. K., “Biohybrid Circuits: Nanotransducers Linking Cells and Neural Electrodes”, in Biohybrid Systems: Nerves, Interfaces, and Machines, 2011.

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.

T. T. Prescott, Lepora, N. F., Mura, A., and Verschure, P. F. M. J., “Biomimetic and Biohybrid Systems”, Living Machines, vol. 7375. Barcelona, 2012.

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.

S. P. Wilson, Verschure, P. F. M., Mura, A., and Prescott, T. J., “Biomimetic and Biohybrid Systems. Lecture Notes in Computer Science”, 4th International Conference, Living Machines 2015, Barcelona, Spain, , vol. Lecture Notes in Computer Science Volume 9222 2015. 2015.

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.

A. Villanueva, Smith, C., and Priya, S., “A biomimetic robotic jellyfish (Robojelly) actuated by shape memory alloy composite actuators”, Bioinspiration & Biomimetics, vol. 6, no. 3, 2011.

C

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.

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.

C. Moulin-Frier and Verschure, P. F. &, “Comment on" Towards a Computational Comparative Neuroprimatology: Framing the language-ready brain" by Michael A. Arbib.”, Physics of life reviews, vol. 16, pp. 88-90, 2016.

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.

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.

D

M. Mahmud and Vassanelli, S. &, “Differential Modulation of Excitatory and Inhibitory Neurons during Periodic Stimulation.”, Frontiers in neuroscience., vol. 10, 2016.

Pfeifer, R. and Verschure, P. M. J. F., “Distributed adaptive control: a paradigm for designing autonomous agents.”, in First European Conference on Artificial Life., 1992.

E

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.

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.

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.

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.

R. George, Mayr, C., Indiveri, G., and Vassanelli, S. &, “Event-based softcore processor in a biohybrid setup applied to structural plasticity.”, In Event-based Control, Communication, and Signal Processing (EBCCSP). pp. pp. 1-4, 2015.

F

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.

H

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. 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.

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