Showing items with similar title or keywords.

• Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition 

  Zhang, Guanghui; Zhang, Chi; Cao, Shuo; Xia, Xue; Tan, Xin; Si, Lichengxi; Wang, Chenxin; Wang, Xiaochun; Zhou, Chenglin; Ristaniemi, Tapani; Cong, Fengyu (Springer, 2020)

  The waveform in the time domain, spectrum in the frequency domain, and topography in the space domain of component(s) of interest are the fundamental indices in neuroscience research. Despite the application of time–frequency ...

• Extraction of event-related potentials from electroencephalography data 

  Ivannikov, Andriy (University of Jyväskylä, 2009)

   

• Effect of parametric variation of center frequency and bandwidth of morlet wavelet transform on time-frequency analysis of event-related potentials 

  Zhang, Guanghui; Tian, Lili; Chen, Huaming; Li, Peng; Ristaniemi, Tapani; Wang, Huili; Li, Hong; Chen, Hongjun; Cong, Fengyu (Springer Nature Singapore Pte Ltd., 2017)

• Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data 

  Tanskanen, Annika (2008)

• Deriving electrophysiological brain network connectivity via tensor component analysis during freely listening to music 

  Zhu, Yongjie; Liu, Jia; Mathiak, Klaus; Ristaniemi, Tapani; Cong, Fengyu (Institute of Electrical and Electronics Engineers, 2020)

  Recent studies show that the dynamics of electrophysiological functional connectivity is attracting more and more interest since it is considered as a better representation of functional brain networks than static network ...