Topic: EEG data analysis

EEG is widely used as an efficient tool in clinical diagnosis and human cognitive studies due to its high temporal resolution. While EEG provides a wealth of physiological information about the brain, the execution of data analysis algorithms is rather time-consuming due to the massive amount of EEG data and the complexity of the algorithms used in the process. A typical example is Independent Component Analysis (ICA), which is a fundamental tool in EEG data analysis. It is widely used for separating unwanted noise artifacts from neural signals and in cortical source localization. In our lab,