Bibliography

Bibliography

S.-I. Amari, A. Cichocki, and H. H. Yang.: A new learning algorithm for blind signal separation.
In Proceedings of the 1995 Conference on Advances in Neural Information Processing Systems (NIPS 1995), volume 8, pages 757-763, Denver, CO, November 1995.
N. C. Andreasen.: Evaluation of Brain Imaging Techniques in Mental Illness.
Annual Review of Medicine, 39: 335-345, February 1988.
S. R. Arnott, M. A. Binns, C. L. Grady, and C. Alain.: Assessing the auditory dual-pathway model in humans.
NeuroImage, 22 (1): 401-408, May 2004.
I. Bankman.: Handbook of Medical Imaging: Processing and Analysis.
Elsevier Science & Technology Books, Burlington, MA, 1st edition, October 2000.
A. Bartels and S. Zeki.: The chronoarchitecture of the human brain -- natural viewing conditions reveal a time-based anatomy of the brain.
NeuroImage, 22 (1): 419-433, May 2004.
A. J. Bell and T. J. Sejnowski.: An information-maximization approach to blind separation and blind deconvolution.
Neural Computation, 7 (6): 1129-1159, November 1995.
A. Belouchrani, K. A. Meraim, J.-F. Cardoso, and E. Moulines.: Second-Order Blind Separation of Correlated Sources.
In Proceedings of the 1993 International Conference on Digital Signal Processing (DSP 1993), pages 346-351, Nicosia, Cyprus, July 1993.
V. D. Calhoun, T. Adali, L. K. Hansen, J. Larsen, and J. J. Pekar.: ICA of functional MRI Data: An Overview.
In Proceedings of the 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), pages 281-288, Nara, Japan, April 2003.
V. D. Calhoun, T. Adali, V. B. McGinty, J. J. Pekar, T. D. Watson, and G. D. Pearlson.: fMRI Activation in a Visual-Perception Task: Network of Areas Detected Using the General Linear Model and Independent Components Analysis.
NeuroImage, 14 (5): 1080-1088, November 2001a.
V. D. Calhoun, T. Adali, G. D. Pearlson, and J. J. Pekar.: A method for making group inferences from functional MRI data using independent component analysis.
Human Brain Mapping, 14 (3): 140-151, August 2001b.
J.-F. Cardoso.: Eigen-structure of the fourth-order cumulant tensor with application to the blind source separation problem.
In Proceedings of the 1990 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1990), volume 5, pages 2655-2658, Albuquerque, NM, April 1990.
J.-F. Cardoso.: Dependence, Correlation and Gaussianity in Independent Component Analysis.
Journal of Machine Learning Research, 4: 1177-1203, December 2003.
P. Comon.: Independent component analysis, A new concept?
Signal Processing, 36 (3): 287-314, April 1994.
J.-R. Duann, T.-P. Jung, S. Makeig, and T. J. Sejnowski.: Consistency of Infomax ICA Decomposition of Functional Brain Imaging Data.
In Proceedings of the 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), pages 289-294, Nara, Japan, April 2003.
FastICA.: FastICA MATLAB Package, 1998.
http://www.cis.hut.fi/research/ica/fastica.
E. Formisano, F. Esposito, N. Kriegeskorte, G. Tedeschi, F. D. Di Salle, and R. Goebel.: Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components.
Neurocomputing, 49 (1-4): 241-254, December 2002.
O. Friman, M. Borga, P. Lundberg, and H. Knutsson.: Detection and detrending in fMRI data analysis.
NeuroImage, 22 (2): 645-655, May 2004.
T. Gautama, D. P. Mandic, and M. M. Van Hulle.: A Novel Method for Determining the Nature of Time Series.
IEEE Transactions on Biomedical Engineering, 51 (5): 728-736, May 2004.
S. Haykin.: Neural Networks: A Comprehensive Foundation.
Pearson/Prentice Hall, Upper Saddle River, NJ, 2nd edition, July 1998.
J. Himberg, A. Hyvärinen, and F. Esposito.: Validating the independent components of neuroimaging time series via clustering and visualization.
NeuroImage, 22 (3): 1214-1222, July 2004.
S. A. Huettel, A. W. Song, and G. McCarthy.: Functional Magnetic Resonance Imaging.
Sinauer Associates, Sunderland, MA, 1st edition, April 2004.
A. Hyvärinen.: Fast and Robust Fixed-Point Algorithms for Independent Component Analysis.
IEEE Transactions on Neural Networks, 10 (3): 626-634, May 1999.
A. Hyvärinen, J. Karhunen, and E. Oja.: Independent Component Analysis.
Wiley-Interscience, New York, NY, 1st edition, May 2001.
A. Hyvärinen and E. Oja.: A Fast Fixed-Point Algorithm for Independent Component Analysis.
Neural Computation, 9 (7): 1483-1492, October 1997.
A. Hyvärinen and E. Oja.: Independent component analysis: algorithms and applications.
Neural Networks, 13 (4-5): 411-430, June 2000.
Icasso.: Icasso MATLAB Package, 2003.
http://www.cis.hut.fi/jhimberg/icasso.
I. T. Jolliffe.: Principal Component Analysis.
Springer-Verlag, New York, NY, 2nd edition, October 2002.
T.-P. Jung, S. Makeig, M. J. McKeown, A. J. Bell, T.-W. Lee, and T. J. Sejnowski.: Imaging Brain Dynamics Using Independent Component Analysis.
Proceedings of the IEEE, 89 (7): 1107-1122, July 2001.
C. Jutten and J. Herault.: Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture.
Signal Processing, 24 (1): 1-10, July 1991.
J. W. Kalat.: Biological Psychology.
Thomson/Wadsworth, New York, NY, 8th edition, July 2003.
V. Kiviniemi, J.-H. Kantola, J. Jauhiainen, A Hyvärinen, and O. Tervonen.: Independent component analysis of nondeterministic fMRI signal sources.
NeuroImage, 19 (2): 253-250, June 2003.
M. J. McKeown, L. K. Hansen, and T. J. Sejnowski.: Independent Component Analysis of functional MRI: What Is Signal and What Is Noise?
Current Opinion in Neurobiology, 13 (5): 620-629, October 2003.
M. J. McKeown, S. Makeig, G. G. Brown, T. P. Jung, S. S. Kindermann, A. J. Bell, and T. J. Sejnowski.: Analysis of fMRI Data by Blind Separation Into Independent Spatial Components.
Human Brain Mapping, 6 (3): 160-188, August 1998.
M. J. McKeown and T. J. Sejnowski.: Independent Component Analysis of fMRI Data: Examining the Assumptions.
Human Brain Mapping, 6 (5-6): 368-372, December 1998.
R. L. McNamee and N. A. Lazar.: Assessing the sensitivity of fMRI group maps.
NeuroImage, 22 (2): 920-931, May 2004.
J. H. Meek, C. E. Elwell, M. J. Khan, J. Romaya, J. S. Wyatt, D. T. Delpy, and S. Zeki.: Regional changes in cerebral haemodynamics as a result of a visual stimulus measured by near infrared spectroscopy.
In Proceedings of the Royal Society in Biological Sciences, volume 261, pages 351-356, London, UK, November 1995.
F. Meinecke, A. Ziehe, M. Kawanabe, and K.-R. Müller.: A Resampling Approach to Estimate the Stability of One-Dimensional or Multidimensional Independent Components.
IEEE Transactions on Biomedical Engineering, 49 (12): 1514-1525, December 2002.
C. T. Moonen, P. C. van Zijl, J. A. Frank, D. Le Bihan, and E. D. Becker.: Functional magnetic resonance imaging in medicine and physiology.
Science, 250 (4977): 53-61, October 1990.
E. Niedermeyer and F. L. da Silva.: Electroencephalography: Basic Principles, Clinical Applications, and Related Fields.
Lippincott, Williams & Wilkins, Baltimore, MD, 5th edition, November 2004.
S. Ogawa, D. W. Tank, R. Menon, J. M. Ellermann, S. Kim, H. Merkle, and K. Ugurbil.: Intrinsic Signal Changes Accompanying Sensory Stimulation: Functional Brain Mapping with Magnetic Resonance Imaging.
Proceedings of the National Academy of Sciences, 89 (13): 51-55, July 1992.
J. Särelä and H. Valpola.: Denoising Source Separation.
Journal of Machine Learning Research, 6: (In Press), March 2005.
J. Särelä and R. Vigário.: Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions.
Journal of Machine Learning Research, 4: 1447-1469, December 2003.
SPM.: SPM MATLAB Package, 1999.
http://www.fil.ion.ucl.ac.uk/spm.
J. V. Stone.: Independent Component Analysis : A Tutorial Introduction.
MIT Press/Bradford Books, Cambridge, MA, 1st edition, September 2004.
J. Talairach and P. Tournoux.: Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System -- An Approach to Cerebral Imaging.
Thieme Medical Publishers, New York, NY, 1st edition, January 1988.
K. J. Worsley and K. J. Friston.: Analysis of fMRI Time-Series Revisited -- Again.
NeuroImage, 2 (3): 173-235, September 1995.
J. Ylipaavalniemi and R. Vigário.: Analysis of Auditory fMRI Recordings via ICA: A Study on Consistency.
In Proceedings of the 2004 International Joint Conference on Neural Networks (IJCNN 2004), volume 1, pages 249-254, Budapest, Hungary, July 2004.
A. Ziehe and K.-R. Müller.: TDSEP -- An Effective Algrithm for Blind Separation Using Time Structure.
In Proceedings of the 8th International Conference on Artificial Neural Networks (ICANN 1998), volume 8, pages 675-680, Skövde, Sweden, September 1998.