PhD student
I am interested in the application of machine learning and deep learning on neuroimaging data to detect the reactivation of recent memories during sleep, in a content-specific manner. I analyze EEG and MEG recordings during sleep to identify
electrophysiological processes contributing to memory consolidation (like slow oscillations) and I’m investigating the features that allow the distinction between different content of memories, using unsupervised clustering and classification algorithms.