Derived EEG features and probabilistic state transition labels across pre-ictal cortical states. Latent dynamics extracted from neural recordings characterize the transitions leading to seizure onset.
Use Cases
- Infer latent cortical states using the provided probabilistic transition data
- Model seizure onset trajectories using derived EEG signal features
- Evaluate state-space models on pre-ictal transition sequences
Strengths
- Derived EEG features representing latent neural dynamics
- Probabilistic labels for pre-ictal cortical state transitions
- Time-series data focused on the pre-seizure (pre-ictal) window