Spiking networks and the Haken–Lighthouse model
Event-driven spiking dynamics, synchrony, waves and pattern formation, and their reduction to population descriptions.
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.
Event-driven spiking dynamics, synchrony, waves and pattern formation, and their reduction to population descriptions.
Activity-dependent conduction delays, phase locking and network reorganisation through white-matter plasticity.
Spatial patterns, travelling waves, neural masses and links between collective dynamics and connectivity.
Mechanisms of oscillations, rebound and synchronisation, with connections to EEG and MEG.
Calcium waves, fire-diffuse-fire dynamics, active dendrites and spatially organised cellular excitation.
Synchronisation and bifurcations in oscillator networks, phase–isostable methods, and delayed interactions.