## Abstract Independent component analysis (ICA) has become a popular tool for functional magnetic resonance imaging (fMRI) data analysis. Conventional ICA algorithms including Infomax and FAST‐ICA algorithms employ the underlying assumption that data can be decomposed into statistically independen
✦ LIBER ✦
Independent component analysis of nondeterministic fMRI signal sources
✍ Scribed by Vesa Kiviniemi; Juha-Heikki Kantola; Jukka Jauhiainen; Aapo Hyvärinen; Osmo Tervonen
- Book ID
- 119586062
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 535 KB
- Volume
- 19
- Category
- Article
- ISSN
- 1053-8119
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Source density-driven independent compon
✍
Baoming Hong; Godfrey D. Pearlson; Vince D. Calhoun
📂
Article
📅
2005
🏛
John Wiley and Sons
🌐
English
⚖ 252 KB
Wavelet domain independent component ana
✍
Shigeru Muraki; Kayako Matsuo; Toshiharu Nakai
📂
Article
📅
2000
🏛
Elsevier Science
🌐
English
⚖ 113 KB
Blind source separation of chaotic laser
✍
Kuraya, Masahiko; Uchida, Atsushi; Yoshimori, Shigeru; Umeno, Ken
📂
Article
📅
2008
🏛
Optical Society of America
🌐
English
⚖ 570 KB
Cortex-based independent component analy
✍
Elia Formisano; Fabrizio Esposito; Francesco Di Salle; Rainer Goebel
📂
Article
📅
2004
🏛
Elsevier Science
🌐
English
⚖ 709 KB
Independent component analysis of fMRI d
✍
Martin J. McKeown; Terrence J. Sejnowski
📂
Article
📅
1998
🏛
John Wiley and Sons
🌐
English
⚖ 88 KB
👁 2 views
Independent component analysis (ICA), which separates fMRI data into spatially independent patterns of activity, has recently been shown to be a suitable method for exploratory fMRI analysis. The validity of the assumptions of ICA, mainly that the underlying components are spatially independent and
An fMRI study of acupuncture using indep
✍
Yi Zhang; Wei Qin; Peng Liu; Jie Tian; Jimin Liang; Karen M. von Deneen; Yijun L
📂
Article
📅
2009
🏛
Elsevier Science
🌐
English
⚖ 454 KB