The Why, What, Where, When and How of Goal Directed Choice: neuronal and computational principles. Philosophical Transactions of The Royal Society - Biological Sciences. 369(1655). 2014.
Visual anticipation biases conscious decision making but not bottom-up visual processing.. Frontiers in psychology,. 5. 2015.
Variational inference for latent variables and uncertain inputs in Gaussian processes.. Journal of Machine Learning Research. 17(42). 2016.
Two possible driving forces supporting the evolution of animal communication: Comment on “Towards a Computational Comparative Neuroprimatology: Framing the language-ready brain” by Michael A. Arbib.. Physics of life reviews. 16:88-90.. 2016.
Tactile superresolution and biomimetic hyperacuity.. Robotics, IEEE Transactions on,. 31(3). 2015.
STARE: Spatio-Temporal Attention Relocation for Multiple Structured Activities Detection. . IEEE Transactions on Image Processing . 24(12). 2015.
Spaces in the brain: From neurons to meanings. . Frontiers in Psychology . 7(1820). 2016.
Sequential Coherence in Sentence Pairs Enhances Imagery during Comprehension: An Individual Differences Study. PloS One. 10(9). 2015.
Robots are not just tools.. Connection Science (in press).. 2017.
'Robotic homunculus: Learning of artificial skin representation in a humanoid robot motivated by primary somatosensory cortex'.. IEEE Transactions on Cognitive and Developmental Systems.. 2017.
Recurrent Gaussian Processes. arXiv preprint arXiv:1511.06644... 2016.
The principles of goal-directed decision-making: from neural mechanisms to computation and robotics.. Philosophical Transactions of The Royal Society - Biological Sciences. 369(1655). 2014.
Peripersonal space and margin of safety around the body: learning tactile-visual associations in a humanoid robot with artificial skin.. PLoS ONE 11(10) e0163713.. 2016.
Online Multimodal Ensemble Learning using Self-learned Sensorimotor Representations. . IEEE Transactions on Cognitive and Developmental Systems.. 2016.
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis. arXiv:1604.04939v1.. 2016.
Multi-task and Multi-kernel Gaussian Process Dynamical Systems. Pattern Recognition.. Pattern Recognition .. 2016.
A Morphable Template Framework for Robot Learning by Demonstration: Integrating One-shot and Incremental Learning Approaches. Robotics and Autonomous Systems. 62(10):1517-1530.. 2014.
Me in the machine. New Scientist. 225(3013). 2015.
Markerless Perspective Taking for Humanoid Robots in Unconstrained Environments. IEEE International Conference on Robotics and Automation. in press. 2016.
Machines Learning-Towards a New Synthetic Autobiographical Memory.. In Biomimetic and Biohybrid Systems . 8608. 2014.
Learning Relevant Features through a Two-Phase Model of Conditioning.. IBM Journal of Research and Development. Special issue on Computational Neuroscience. (in press).. 2017.
Incrementally Learning Objects by Touch: Online Discriminative and Generative Models for Tactiles-based Recognition. IEEE Transactions on Haptics. 7(4):512-525.. 2014.
How? Why? What? Where? When? Who? Grounding Ontology in the Actions of a Situated Social Agent Robotics. 4(2). 2015.
Hierarchies of Self-Organizing Maps for Action Recognition.. Cognitive Systems Research. 27(2). 2016.