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.