Publications by authors named "Lucie I Rosenberg"
Article Synopsis
- Researchers have developed an automated classifier, SWISC, that can accurately score sleep-wake states and seizures in mice, achieving over 93% accuracy.
- Traditional manual scoring of EEG in mouse models is challenging due to high variability, necessitating large sample sizes and impractical workloads.
- The classifier utilizes advanced machine-learning techniques, specifically a bidirectional long short-term memory (BiLSTM) network, and primarily relies on hippocampal signals, making it effective even without electromyogram data.
