Drug-resistant epilepsy often requires precise identification of seizure onset zones using SEEG recordings. This article presents a Variational Autoencoder–based deep learning framework that detects and interprets seizure onset phases with transparency, helping clinicians accelerate diagnosis and build trust in AI-assisted neurology.

Explore how this novel framework allows for the simulation of electrophysiological recordings from NMMs in this blog post.

Understanding the mechanisms underlying epileptic seizures is crucial for developing effective treatment strategies