Romesh Abeysuriya

The paper uses biophysical simulations to study recovery of neocortical activity in disorders of consciousness, finding that excitatory corticothalamic synaptic strength loss correlates with cerebral glucose uptake and potential for recovery.

The paper uses EEG data to estimate biophysical model parameters in comatose cardiac arrest survivors, finding distinct patterns in good vs poor recovery groups.

The paper predicts individual task responses from resting-state MEG transient spectral events across multiple tasks and subjects.

This paper identifies metastable wave patterns in human brain activity, showing they emerge from dynamic nonlinear dynamics and align with multiple imaging modalities.

NFTsim is a software package for simulating neural field dynamics across multiple scales, enabling the study of brain activity and comparison with experimental data.

This paper applies Bayesian optimisation to large-scale biophysical brain models to improve their alignment with real MEG data and assess model capabilities.