Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification

arXiv:2404.19467v1 Announce Type: new
Abstract: Brain responses related to working memory originate from distinct brain areas and oscillate at different frequencies. EEG signals with high temporal correlation can effectively capture these responses. Therefore, estimating the functional connectivity of EEG for working memory protocols in different frequency bands plays a significant role in analyzing the brain dynamics with increasing memory and cognitive loads, which remains largely unexplored. The present study introduces a Bayesian structure learning algorithm to learn the functional connectivity …

abstract arxiv bayesian brain classification connectivity convolutional correlation cs.lg eeg eess.sp functional graph memory network q-bio.nc responses temporal type