I began my research career with an opto-electronic recording experiment that demonstrated that there exist key differences between open- and closed-loop reaching under constant lighting conditions. I then carried out several functional Magnetic Resonance Imaging (fMRI) studies that demonstrate that the frontal cortex takes on the majority of the processing load for early movement planning. As a postdoc, I again characterised preparatory movement signals in parietal and frontal cortices and also learned neuroanatomy, employing a highly novel g-deleted rabies virus to demonstrate that the feedback projections in the early visual brain (area 19 is more connected more to the ventral stream and area 18 to the dorsal stream).
As a Principal Investigator, I have demonstrated, for example, that parietal-based spatial reference frames are modulated by the position of the eyes in the orbits (fMRI), that non-obstructing 3D depth cues modulate behavioural kinematic profiles and that visuospatial attention is coded in the parietal cortex (fMRI). My current research focus is on demonstrating the efficacy of Dry- and Mobile-Electroencephalography (EEG) for Brain-Computer Interface (BCI). I now carry out research that integrates Machine Learning with EEG for Brain-Computer Interface & Neuro-Robotic control (or Brain-Robot interaction).