eSSENCE@LU 3:6 - Tailored time‐frequency features for robust classification of electrophysiological correlates of human memory retrieval

The project intends to develop new tools for time-frequency (TF) image feature extraction, where the focus will be on non-stationary multi-component signals. These novel methods will allow us to, in previously unprecedented ways, address key issues in the cognitive neuroscience of memory. Memory is a ubiquitous part of everyday life, and advancing our understanding of memory will not only inform basic science but be of important applied and clinical relevance.