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Volumn 69, Issue 13-15, 2006, Pages 1502-1512

Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis

Author keywords

Biomedical signal analysis; Complex independent component analysis (complex ICA); Convolution model; Functional magnetic resonance imaging (fMRI); Hemodynamic response; Primary visual cortex (VI); Spatio temporal dynamics; Statistical signal processing

Indexed keywords

BLOOD; CONVOLUTION; FREQUENCY DOMAIN ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE; MATHEMATICAL MODELS; PATTERN MATCHING; STATISTICAL METHODS;

EID: 33745219876     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.12.029     Document Type: Article
Times cited : (20)

References (21)
  • 1
    • 33749754615 scopus 로고    scopus 로고
    • A new learning algorithm for blind signal separation
    • Touretzky D., Mozer M., and Hasselmo M. (Eds), MIT Press, Cambridge, MA
    • Amari S., Cichocki A., and Yang H.H. A new learning algorithm for blind signal separation. In: Touretzky D., Mozer M., and Hasselmo M. (Eds). Advances in Neural Information Processing Systems 8 (1996), MIT Press, Cambridge, MA 757-763
    • (1996) Advances in Neural Information Processing Systems 8 , pp. 757-763
    • Amari, S.1    Cichocki, A.2    Yang, H.H.3
  • 2
    • 33745219299 scopus 로고    scopus 로고
    • J. Anemüller, Across-frequency processing in convolutive blind source separation, Ph.D. Thesis, Department of Physics, University of Oldenburg, Oldenburg, Germany, 2001.
  • 4
    • 0037211023 scopus 로고    scopus 로고
    • Adaptive separation of acoustic sources for anechoic conditions: a constrained frequency domain approach
    • Anemüller J., and Kollmeier B. Adaptive separation of acoustic sources for anechoic conditions: a constrained frequency domain approach. Speech Commun. 39 1-2 (2003) 79-95
    • (2003) Speech Commun. , vol.39 , Issue.1-2 , pp. 79-95
    • Anemüller, J.1    Kollmeier, B.2
  • 5
    • 0242578049 scopus 로고    scopus 로고
    • Complex independent component analysis of frequency-domain electroencephalographic data
    • Anemüller J., Sejnowski T.J., and Makeig S. Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks 16 (2003) 1311-1323
    • (2003) Neural Networks , vol.16 , pp. 1311-1323
    • Anemüller, J.1    Sejnowski, T.J.2    Makeig, S.3
  • 6
    • 0029411030 scopus 로고
    • An information maximization approach to blind separation and blind deconvolution
    • Bell A.J., and Sejnowski T.J. An information maximization approach to blind separation and blind deconvolution. Neural Comput. 7 (1995) 1129-1159
    • (1995) Neural Comput. , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 7
    • 0034136037 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent component analysis of complex valued signals
    • Bingham E., and Hyvärinen A. A fast fixed-point algorithm for independent component analysis of complex valued signals. Int. J. Neural Syst. 10 (2000) 1-8
    • (2000) Int. J. Neural Syst. , vol.10 , pp. 1-8
    • Bingham, E.1    Hyvärinen, A.2
  • 8
    • 11144223199 scopus 로고    scopus 로고
    • A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics
    • Buchner H., Aichner R., and Kellermann W. A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics. IEEE Trans. Speech Audio Process. 13 (2005) 120-134
    • (2005) IEEE Trans. Speech Audio Process. , vol.13 , pp. 120-134
    • Buchner, H.1    Aichner, R.2    Kellermann, W.3
  • 11
    • 0027812550 scopus 로고
    • Blind beamforming for non Gaussian signals
    • Cardoso J.-F., and Souloumiac A. Blind beamforming for non Gaussian signals. IEE Proc. F 140 (1993) 362-370
    • (1993) IEE Proc. F , vol.140 , pp. 362-370
    • Cardoso, J.-F.1    Souloumiac, A.2
  • 13
    • 33745217033 scopus 로고    scopus 로고
    • J.-R. Duann, T.-P. Jung, S. Makeig, FMRLAB: Matlab software for independent component analysis of fMRI data, World Wide Web publication, 2003, 〈http://sccn.ucsd.edu/fmrlab〉.
  • 14
    • 17044396848 scopus 로고    scopus 로고
    • Non-linear complex-valued extensions of hebbian learning: an essay
    • Fiori S. Non-linear complex-valued extensions of hebbian learning: an essay. Neural Comput. 17 (2005) 779-838
    • (2005) Neural Comput. , vol.17 , pp. 779-838
    • Fiori, S.1
  • 17
    • 0000914334 scopus 로고    scopus 로고
    • Convolutive blind separation of non-stationary sources
    • Parra L., and Spence C. Convolutive blind separation of non-stationary sources. IEEE Trans. Speech Audio Process. 8 (2000) 320-327
    • (2000) IEEE Trans. Speech Audio Process. , vol.8 , pp. 320-327
    • Parra, L.1    Spence, C.2
  • 18
    • 33745199965 scopus 로고    scopus 로고
    • H. Sawada, R. Mukai, S. Araki, S. Makino, A polar-coordinate based activation function for frequency domain blind source separation, in: T.-W. Lee, T.-P. Jung, S. Makeig, T.J. Sejnowski (Eds.), Proceedings of the Third International Conference on Independent Component Analysis and Blind Signal Separation, 2001, pp. 663-668.
  • 19
    • 0038036498 scopus 로고    scopus 로고
    • Polar coordinate based nonlinear function for frequency-domain blind source separation
    • Sawada H., Mukai R., Araki S., and Makino S. Polar coordinate based nonlinear function for frequency-domain blind source separation. IEICE Trans. E86-A (2003) 590-596
    • (2003) IEICE Trans. , vol.E86-A , pp. 590-596
    • Sawada, H.1    Mukai, R.2    Araki, S.3    Makino, S.4
  • 20
    • 33745202726 scopus 로고    scopus 로고
    • R.M. Siegel, J.R. Duann, T.P. Jung, T.J. Sejnowski, Independent component analysis of intrinsic optical signals for gain fields in inferior parietal cortex of behaving monkey, in: Society for Neuroscience Abstracts, vol. 28, 2002.
  • 21
    • 0036334838 scopus 로고    scopus 로고
    • Spatiotemporal independent component analysis of event-related fMRI data using skewed probability density functions
    • Stone J.V., Porrill J., Porter N.R., and Wilkinson I.W. Spatiotemporal independent component analysis of event-related fMRI data using skewed probability density functions. NeuroImage 15 (2002) 407-421
    • (2002) NeuroImage , vol.15 , pp. 407-421
    • Stone, J.V.1    Porrill, J.2    Porter, N.R.3    Wilkinson, I.W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.