Brain Networks
Publications
TMS-Evoked Responses Are Driven by Recurrent Large-Scale Network Dynamics
A major question in systems and cognitive neuroscience is to what extent neurostimulation responses are driven by recurrent activity. …
Deep-learning based parameter estimation for neurophysiological models of neuroimaging data
Connectome-based neural mass modelling is the emerging computational neuroscience paradigm for simulating large-scale network dynamics …
Mapping inter-individual functional connectivity variability in TMS targets for major depressive disorder
Transcranial magnetic stimulation (TMS) is an emerging alternative to existing treatments for major depressive disorder (MDD). The …
Whole-Brain Modelling: Past, Present, and Future
Whole-Brain Modelling is a scientific field with a short history and a long past. Its various disciplinary roots and conceptual …
A connectome-based, corticothalamic model of state- and stimulation-dependent modulation of rhythmic neural activity and connectivity
Rhythmic activity in the brain fluctuates with behaviour and cognitive state, through a combination of coexisting and interacting …
Persistent entrainment in nonlinear neural networks with noise
A theoretical study on the phenomenon of persistent entrainment using a mean-field model of recurrent delayed inhibition
