Information Technology Reference
In-Depth Information
4. List the main sources of instrumental, biological, and environmental noise
affecting EEG recordings
5. What is an error-related potential (ErrP)?
6. The ERS associated with the ErrP is temporally related to a positive or to a
negative evoked potential?
7. What are the advantages of a source-level analysis via blind source separation
as compared to a sensor-level analysis?
8. Why the blind source separation method is said to be
?
9. Create an experimental design where a blind source separation method
exploiting source non-stationary would be appropriate for data analysis.
10. Why error-related potentials are of interest in the
“
blind
”
-
field of brain
computer
interface?
References
Afsari B (2008) Sensitivity analysis for the problem of matrix joint diagonalization. SIAM J
Matrix Ana Appl 30(3):1148
-
1171
A
ï
ssa-El-Bey A, Abed-Meraim K, Grenier Y, Hua Y (2008) A general framework for second order
blind separation of stationary colored sources. Sig Process 88(9):2123
-
2137
Ans B, H
rault J, Jutten C (1985) Adaptive neural architectures: detection of primitives. In:
Proceedings of COGNITIVA, pp 593
é
597
Bell AJ, Sejnowski TJ (1995) An information-maximization approach to blind separation and
blind deconvolution. Neural Comput 7:1129
-
1159
Belouchrani A, Amin MG (1998) Blind source separation based on time-frequency signal
representations. IEEE Trans Signal Process 46(11):2888
-
2897
Belouchrani A, Abed-Meraim K, Cardoso JF, Moulines E (1997) A blind source separation
technique using second order statistics
-
'
. IEEE Trans Signal Process 45(2):434
-
444
Bloom
eld P (2000) Fourier analysis of time series. Wiley, New York
Brett M, Anton J-L, Valabregue R, Poline J-B (2002) Region of interest analysis using an SPM
toolbox [abstract]. In: Presented at the 8th international conference on functional mapping of
the human brain, 2
6 June 2002, Sendai, Japan. Available on CD-ROM in NeuroImage 16(2)
Buzsaki G (2006) Rhythms of the Brain. Oxford University Press, London
Cardoso J-F (1998) Blind signal separation: statistical principles. IEEE Proc 9(10):2009
-
2025
Cardoso JF, Souloumiac A (1993) Blind beamforming for non-Gaussian signals. IEE Proc-F
(Radar Signal Process) 140(6):362
-
370
Chatel-Goldman J, Congedo M, Phlypo R (2013) Joint BSS as a natural analysis framework for
EEG-hyperscanning (in press)
Comon P (1994) Independent component analysis, a new concept? Sig Process 36(3):287
-
314
Comon P, Jutten C (2010) Handbook of Blind Source Separation: Independent component
analysis and applications. Academic Press, London
Congedo C, Gouy-Pailler C, Jutten C (2008) On the blind source separation of human
electroencephalogram by approximate joint diagonalization of second order statistics. Clin
Neurophysiol 119(12):2677
-
2686
Congedo M, John ER, De Ridder D, Prichep L (2010) Group independent component analysis of
resting-state EEG in large normative samples. Int J Psychophysiol 78:89
-
99
Congedo M, Phlypo R, Chatel-Goldman J (2012) Orthogonal and non-orthogonal joint blind
source separation in the least-squares sense. In: 20th European signal processing conference
(EUSIPCO), 27
-
-
31 Aug, Bucharest, Romania, pp 1885
-
1889
