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T. J. Prescott, Mitchinson, B., Lepora, N. F., Wilson, S. P., Anderson, S. R., Porrill, J., and Pipe, A. G. &, The robot vibrissal system: understanding mammalian sensorimotor co-ordination through biomimetics., in In Sensorimotor Integration in the Whisker System , New York: Springer , 2015.
T. J. Prescott and Ibbotson, C., A Robot Trace Maker: Modeling the Fossil Evidence of Early Invertebrate Behavior, Artificial Life , vol. 3, no. 4, 1997.
S. Cifuentes, Giron-Sierra, J., and Jimenez, J., Robot Navigation Based on Discrimination of Artificial Fields: Application to Single Robots , Advanced Robotics, vol. 26, no. 5-6, pp. 605-626, 2012.
T. J. Prescott, Fernando M. Montes,, Gonzálezb, Kevin Gurney,, Mark D. Humphries,, and Peter Redgrave, A robot model of the basal ganglia: Behavior and intrinsic processing , Neural Networks, vol. 19, no. 1, 2006.
A. Schierwagen, On reverse engineering in the cognitive and brain sciences , Natural Computing, vol. 11, no. 1, 2012.
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.
G. Indiveri, Linn, E., and Ambrogio, S. &, ReRAM‐Based Neuromorphic Computing. , in Resistive Switching, vol. From Fundamentals of Nanoionic Redox Processes to Memristive Device Applications, 2016, pp. 715-736.
T. Petrič, Gams, A., Babič, J., and lajpah, L. Ž., Reflexive stability control framework for humanoid robots, Autonomous Robots, vol. 34, no. 4, 2013.
E.A.C Johnson, R.H.C Bonser,, and Jeronimidis, G., Recent advances in biomimetic sensing technologies, Phil. Trans. R. Soc. A, vol. 367, 2009.
Chapin JK, Moxon KA,, Markowitz RS,, and MA., N., Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex., Nat Neurosci., vol. 2, no. 7, 1999.
Shih-Chii Liu, Jörg Kramer,, Indiveri, G., Tobias Delbrück,, Thomas Burg,, and Rodney Douglas, Orientation-selective aVLSI spiking neurons, Neural Networks , vol. 14, no. 6-7, 2001.
G. M. Viswanathan, Buldyrev, S. V., Havlin, S., da Luz, M. G. E., Raposo, E. P., and Stanley, H. E., Optimizing the success of random searches, Nature, vol. 401, no. 6756, 1999.
Y. Zhong, Shirinzadeh, B., and Yuan, X., Optimal robot path planning with cellular neural network, International Journal of Intelligent Mechatronics and Robotics, vol. 1, no. 1, 2011.
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.
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.
N. Ando, Emoto, S., and Kanzaki, R., Odour-tracking capability of a silkmoth driving a mobile robot with turning bias and time delay, Bioinspiration & Biomimetics, vol. 8, no. 1, 2013.
F. Tramacere, Follador, M., Pugno, N. M., and Mazzolai, B. &, Octopus-like suction cups: from natural to artificial solutions., Bioinspiration & biomimetics, , vol. 10, no. 3, 2015.