Low dimensional representations of MEG/EEG data using laplacian eigenmaps

Proc. of 2007 Joint Meet. of the 6th Int. Symp. on Noninvasive Functional Source Imaging of the Brain and Heart and the Int. Conf. on Functional Biomedical Imaging, NFSI and ICFBI 2007

Volumn , Issue , 2007, Pages 169-172

  Gramfort, Alexandre ^a   Clerc, Maureen ^a  

^a INRIA   (France)

Author keywords

Dimensionality reduction; EEG; Event related potentials; Laplacian eigenmaps; P300

Indexed keywords

CHLORINE COMPOUNDS; ELECTROENCEPHALOGRAPHY; LAPLACE TRANSFORMS; TIME SERIES ANALYSIS;

BIOMEDICAL IMAGING; COMPLEX DATA; DIMENSIONALITY REDUCTION; EEG; EEG DATA; EVENT-RELATED POTENTIALS; EVOKED POTENTIALS; HIGH-DIMENSIONAL; INTERNATIONAL CONFERENCES; INTERNATIONAL SYMPOSIUM; LAPLACIAN EIGENMAPS; LOW DIMENSIONAL; MEG/EEG; P300; POWERFUL APPROACH; SOURCE IMAGING; TIME-SERIES;

DATA VISUALIZATION;

EID: 48049086567     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NFSI-ICFBI.2007.4387717     Document Type: Conference Paper

References (9)

1. Fijoy Vadakkumpadan and Y. Sun, "Embrioss: Electromagnetic brain imaging by optimization in spectral space," Proceedings of ISBI, pp. 1024-1028, Mar 2007.
2. Sam Roweis and Lawrence Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, pp. 2323-2326, 2000.
3. Mikhail Belkin and Partha Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Computation, vol. 15, no. 6, pp. 1373-1396, jun 2003.
4. R.R Coifman, S Lafon, A.B Lee, M Maggioni, and Nadler, "Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps," Proceedings of the National Academy of Sciences, vol. 102, no. 21, pp. 7426-7431, 2005.
5. F. Chung, Spectral graph theory, CBMS-AMS, 1997.
6. A. Ng, M. Jordan, and Y. Weiss, "On spectral clustering: Analysis and an algorithm," in Advances in Neural Information Processing Systems, 2002, vol. 14.
7. Jihun Ham, Daniel D. Lee, Sebastian Mika, and Bernhard Scholkopf, "A kernel view of the dimensionality reduction of manifolds," in ICML '04: Proceedings of the twenty-first international conference on Machine learning. New York, NY, USA, 2004, p. 47, ACM Press.
8. Scott Makeig, Arnaud Delorme, Marissa Westerfield, Tzyy-Ping Jung, Jeanne Townsend, Eric Courchesne, and Terrence J Sejnowski, " Electroencephalographic brain dynamics following manually responded visual targets," PLoS Biol, vol. 2, no. 6, pp. e176, Jun 2004.
9. C.G. Bénar, D. Schön, S. Grimault, B. Nazarian, B. Burle, M. Roth, J.M. Badier, P. Marquis, C. Liegeois-Chauvel, and J.L. Anton, "Single-trial analysis of oddball eventrelated potentials in simultaneous EEG-fMRI.," Human Brain Mapping, vol. in press, 2007.