The Wilson–Cowan population model of neural activity has greatly influenced our
understanding of the mechanisms for the generation of brain rhythms and the emergence of …

Recent progress towards understanding circuit function has capitalized on tools from
network science to parsimoniously describe the spatiotemporal architecture of neural …

Mounting evidence suggests that during conscious states, the electrodynamics of the cortex
are poised near a critical point or phase transition and that this near-critical behavior …

The alpha rhythm is the longest-studied brain oscillation and has been theorized to play a
key role in cognition. Still, its physiology is poorly understood. In this study, we used …

Traveling patterns of neuronal activity—brain waves—have been observed across a breadth
of neuronal recordings, states of awareness, and species, but their emergence in the human …

Epilepsy has been classically seen as a brain disorder resulting from abnormally enhanced
neuronal excitability and synchronization. Although it has been described since antiquity …

Human intracranial electroencephalography (iEEG) recordings provide data with much
greater spatiotemporal precision than is possible from data obtained using scalp EEG …

Recent studies have shown that seizures can spread and terminate across brain areas via a
rich diversity of spatiotemporal patterns. In particular, while the location of the seizure onset …

We developed a neural network model that can account for major elements common to
human focal seizures. These include the tonic-clonic transition, slow advance of clinical …

Interictal epileptiform discharges (IEDs), also known as interictal spikes, are large
intermittent electrophysiological events observed between seizures in patients with epilepsy …