Our lab’s research focuses on the dynamical organization of the human brain activity in neurological disorders and behavior. We aim at identifying and modeling the spatiotemporal dynamics of neural activity at the local field potential and single-unit levels which support speech and language representations on the cognitive side, and epileptic seizures on the pathological side. We use a variety of methods, from short- and long-term intracranial recordings from patients with epilepsy,
statistical and mechanistic modeling of neural activity, and natural language processing tools such at GPT.
Imagined speech can be decoded from low- and cross- frequency intracranial EEG features
Forecasting seizure risk in adults with focal epilepsy: a development and validation study.
Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy.
Department of basic neuroscience