Decoding sleep patterns: Unraveling temazepam impact through BENDR encoder and its latent space analysis
Julia Jakubowska, Jarosław Żygierewicz · FENS Forum 2024
Temazepam is a widely used insomnia drug, which normalizes sleep architecture and enhances slow-wave sleep. Our study aimed to showcase two methods of explaining a sleep-EEG classification model, in the input and representation space. The goal was to evaluate the effectiveness of these explanations in studying the influence of temazepam on sleep architecture. We fine-tuned BErt-inspired Neural Data Representations (BENDR) encoder pretrained on the TUH EEG Corpus dataset to sleep stage classification. The obtained (sleepBENDR) model is explained using Class Activation Mapping (CAM), which indic
ePoster · Neuroscience