My research uses ideas from nonlinear dynamics, applied mathematics and mathematical physics to understand how neuronal activity gives rise to collective behaviour and computation. A central interest is connecting the dynamics of individual neurons and their interactions to patterns, waves and rhythms in large networks.

Recent work emphasises spiking-network dynamics and the effects of axonal conduction delays, including delays that change with neural activity. Related interests include neural fields and population models, brain rhythms, and the mathematics of excitable cellular systems.

Research group

PhD students

Postdoctoral researchers

Research funding