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We investigate anatomical organisation and cortical processing using computational models and techniques.

Figure illustrates findings from the computational anatomy and decision making and learning groups
Figure illustrates findings from the computational anatomy and decision making and learning groups

We have two main research interests.The computational anatomy group studies the organisation of anatomical brain connections and how they relate to regional brain function. We principally use non-invasive diffusion MRI, often in combination with functional techniques or traditional tracing techniques. We also have a strong methodological focus. 

The learning and decision making group mostly investigates the role of frontal cortical mechanisms in controlling behaviour.  We use computational descriptions at the behavioural and network levels to form predictions, and test these in neurophysiological, neurochemical, and lesion data.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Our team

Recent publications

CleanCTG: A deep learning model for multi-artefact detection and reconstruction in Cardiotocography

Journal article

Wong S. et al, (2026), Biomedical Signal Processing and Control, 123, 110654 - 110654

The alpha rhythm: from physiology to behavior.

Journal article

Jensen O. and Bonnefond M., (2026), Physiol Rev, 106, 1123 - 1159

Electroencephalography during acute painful procedures in neonates: a scoping review.

Journal article

Gunawan PY. et al, (2026), Pain Rep, 11

An open multi-center MEG-EEG dataset for studying conscious visual perception.

Journal article

Liu L. et al, (2026), Sci Data, 13

Convergent and divergent brain-cognition development in early adolescence.

Journal article

Xie Y. et al, (2026), Nat Commun