Answering six questions in extracting children’s mismatch negativity through combining wavelet decomposition and independent component analysis-Reference-Cited by-同舟云学术

Answering six questions in extracting children’s mismatch negativity through combining wavelet decomposition and independent component analysis

Published:2011-06-28 Issue:4 Volume:5 Page:343-359
ISSN:1871-4080
Container-title:Cognitive Neurodynamics
language:en
Short-container-title:Cogn Neurodyn

Author:

Cong Fengyu,Kalyakin Igor,Li Hong,Huttunen-Scott Tiina,Huang Yixiang,Lyytinen Heikki,Ristaniemi Tapani

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience

Link

http://link.springer.com/content/pdf/10.1007/s11571-011-9161-1.pdf

Reference45 articles.

1. Basar E, Schurmann M, Demiralp T, Basar-Eroglu C, Ademoglu A (2001) Event-related oscillations are ‘real brain responses’—wavelet analysis and new strategies. Int J Psychophysiol 39:91–127

2. Chen Z, Cao J, Cao Y, Zhang Y, Gu F, Zhu G, Hong Z, Wang B, Cichocki A (2008) An empirical EEG analysis in brain death diagnosis for adults. Cogn Neurodyn 2:257–271

3. Cichocki A, Amari S (2003) Adaptive blind signal and image processing: learning algorithms and applications. Wiley, Chichester

4. Cong F, Sipola T, Huttunen-Scott T, Xu X, Ristaniemi T, Lyytinen H (2009) Hilbert-Huang versus Morlet wavelet transformation on mismatch negativity of children in uninterrupted sound paradigm. Nonlinear Biomed Phys 3:1

5. Cong F, Kalyakin I, Huang Y, Huttunen-Scott T, Li H, Lyytinen H, Ristaniemi T (2010a) Frequency response based wavelet decomposition to extract mismatch negativity of children. No.B8/2010, Series B. Scientific Computing: Reports of Department Mathematical Information Technology, University of Jyväskylä, Finland. http://users.jyu.fi/~fecong/TechnicalReport.html

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Weighted Blind Source Separation Can Decompose the Frequency Mismatch Response by Deviant Concatenation: An MEG Study;Frontiers in Neurology;2022-02-25

2. Data-driven Koopman operator approach for computational neuroscience;Annals of Mathematics and Artificial Intelligence;2019-11-11

3. An improved method for measuring mismatch negativity using ensemble empirical mode decomposition;Journal of Neuroscience Methods;2016-05

4. Independent components analysis to increase efficiency of discriminant analysis methods (FDA and LDA): Application to NMR fingerprinting of wine;Talanta;2015-08

5. Independent component analysis and multivariate curve resolution to improve spectral interpretation of complex spectroscopic data sets: Application to infrared spectra of marine organic matter aggregates;Microchemical Journal;2015-01