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Boorman L.W, Damianou A.C, Martinez-Hernandez U., Prescott T.J &.  2015.  Extending a Hippocampal Model for Navigation Around a Maze Generated from Real-World Data.. Living Machines 2015: the 4th international conference in Biomimetic and Biohybrid Systems. Biomimetic and Biohybrid Systems. Springer International Publishing.:441-452.
Dai Z., Damianou A., Hensman J., Lawrence N..  2014.  Gaussian Process Models with Parallelization and GPU acceleration.. NIPS 2014. Workshop on Modern non-parametrics: automating the learning pipeline
Roncone A, Hoffmann M, Pattacini U, Metta G.  2015.  Learning peripersonal space representation through artificial skin for avoidance and reaching with whole body surface. Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on.
Puigbò J.-Y., Gonzalez-Ballester M.A., Verschure P.F.M.J.  2017.  Learning Relevant Features through a Two-Phase Model of Conditioning.. IBM Journal of Research and Development. Special issue on Computational Neuroscience. (in press).
Evans M.H., Fox C.W., Prescott T.J..  2014.  Machines Learning-Towards a New Synthetic Autobiographical Memory.. In Biomimetic and Biohybrid Systems . 8608
Damianou A., Lawrence N.D, Ek C.H.  2015.  Manifold Alignment Determination. NIPS workshop on Multi-Modal Machine Learning.
Fischer T., Demiris Y.  2016.  Markerless Perspective Taking for Humanoid Robots in Unconstrained Environments. IEEE International Conference on Robotics and Automation. in press
Prescott T..  2015.  Me in the machine. New Scientist. 225(3013)
Mitchinson B., Prescott T.J..  2016.  MIRO: A Robot “Mammal” with a Biomimetic Brain-Based Control System. . Living Machines V: Biomimetic and Biohybrid Systems. :179-191.
Low S.C, van Wijngaarden J.B, Verschure P.F.  2016.  Modelling the Effect of Cognitive Load on Eye Saccades and Reportability: The Validation Gate.. In Conference on Biomimetic and Biohybrid Systems. :459-466.
Wu Y., Su Y., Demiris Y..  2014.  A Morphable Template Framework for Robot Learning by Demonstration: Integrating One-shot and Incremental Learning Approaches. Robotics and Autonomous Systems. 62(10):1517-1530.
Korkinof D., Demiris Y..  2016.  Multi-task and Multi-kernel Gaussian Process Dynamical Systems. Pattern Recognition.. Pattern Recognition .
Damianou A., Lawrence N., Eck C.H.  2016.  Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis. arXiv:1604.04939v1.
Zambelli M., Demiris Y.&.  2015.  Online Ensemble Learning of Sensorimotor Contingencies. Workshop on Sensorimotor Contingencies For Robotics at IROS.