The Bioengineering Research Group focuses on the general topic of processing signals and modelling biological systems. It has established an international reputation for applying this approach to the heart and nervous system.

One core area of research activity is the development of signal processing techniques for non-invasive monitoring of heart-rate variability, ventilation intervals and Doppler ultrasound.

Another area of research is on computational neuroscience and the analysis of neurophysiological data. Within this area, we investigate new methods of analysis of neural signals based upon time-frequency decompositions, statistical mechanics, dynamical systems - including chaos and synchronisation phenomena. These methods are routinely applied to electrophysiological and EEG data for the analysis of visual perception and memory, learning and visuo-motor transformations. We also work on the analysis of single cell recordings in humans. Recordings are carried on in epilepsy patients who are studied with intracranial recordings in order to determine the focus of epileptic seizures for potential curative surgery.

Another line of research deals with the understanding and applications of models of neural mechanisms of sensory processing to real-world behaving artefacts. Current work involves understanding the neural processing of chemical information in insects and mammals, in particular the moth S. littoralis and nematode worm C. elegans.