Explore / implement more approaches to phase based TE #21
Description
"Kernel-Based Phase Transfer Entropy with Enhanced Feature Relevance Analysis for Brain Computer Interfaces" - This paper introduces a method that combines kernel-based TE estimator and Renyi’s entropy. It’s designed for better feature relevance analysis in EEG signals. Could be a solid addition for more nuanced connectivity analysis.
"Measurement of information transfer based on phase increment transfer entropy (PITE)" - PITE offers a novel twist on assessing the information transfer by focusing on the phase increments, which could provide a more robust analysis in non-linear signal scenarios. This approach might shine new light on ADHD EEG signal analysis, offering a fresh perspective on information transfer.
"A modified phase transfer entropy for cross-frequency directed coupling estimation in brain network" - This paper suggests an improved PTE method that considers cross-frequency interactions, addressing multivariable effects and the curse of dimensionality. It’s something that could greatly benefit the analysis of complex cognitive processes.