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 ...

• Single-trial-based temporal principal component analysis on extracting event-related potentials of interest for an individual subject 

  Zhang, Guanghui; Li, Xueyan; Lu, Yingzhi; Tiihonen, Timo; Chang, Zheng; Cong, Fengyu (Elsevier, 2023)

  Background: Temporal principal component analysis (tPCA) has been widely used to extract event-related potentials (ERPs) at group level of multiple subjects ERP data and it assumes that the underlying factor loading is ...

• 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)

• Exploring Oscillatory Dysconnectivity Networks in Major Depression during Resting State Using Coupled Tensor Decomposition 

  Liu, Wenya; Wang, Xiulin; Hämäläinen, Timo; Cong, Fengyu (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  Dysconnectivity of large-scale brain networks has been linked to major depression disorder (MDD) during resting state. Recent researches show that the temporal evolution of brain networks regulated by oscillations reveals ...

• Extraction of event-related potentials from electroencephalography data 

  Ivannikov, Andriy (University of Jyväskylä, 2009)