3 papers
cs.CE2017
Complex tensor factorisation with PARAFAC2 for the estimation of brain connectivity from the EEG
Loukianos Spyrou, Mario Parra, Javier Escudero
Objective: The coupling between neuronal populations and its magnitude have been shown to be informative for various clinical applications. One method to estimate brain connectivit…
q-bio.NC2016
Comparison of Network Analysis Approaches on EEG Connectivity in Beta during Visual Short-Term Memory Binding Tasks
Keith Smith, Hamed Azami, Mario A. Parra +2
We analyse the electroencephalogram signals in the beta band of working memory representation recorded from young healthy volunteers performing several different Visual Short-Term…
q-bio.NC2016
Cluster-Span Threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis
Keith Smith, Hamed Azami, Mario A. Parra +2
We propose a new unbiased threshold for network analysis named the Cluster-Span Threshold (CST). This is based on the clustering coefficient, C, following logic that a balance of `…