CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion

1 code implementation • NeurIPS 2023 • Anders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup

While the present work only considers conversion of EEG, the proposed CSLP-AE provides a general framework for signal conversion and extraction of content (task activation) and style (subject variability) components of general interest for the modeling and analysis of biological signals.

Contrastive Learning EEG +1