메뉴 건너뛰기




Volumn 2, Issue , 2003, Pages 717-720

Complex ICA for FMRI analysis: Performance of several approaches

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONVOLUTION; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING;

EID: 0141676600     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (13)
  • 3
    • 0027288454 scopus 로고
    • Processing Strategies for Time-Course Data Sets in Functional MRI of the Human Brain
    • P.A. Bandettini, A. Jesmanowioz, B.C. Wong, and J.S. Hyde, "Processing Strategies for Time-Course Data Sets in Functional MRI of the Human Brain," Magn. Res. Med., vol, 30, pp. 161-173, 1993.
    • (1993) Magn. Res. Med. , vol.30 , pp. 161-173
    • Bandettini, P.A.1    Jesmanowioz, A.2    Wong, B.C.3    Hyde, J.S.4
  • 5
    • 0027634633 scopus 로고
    • Proper Complex Random Processes With Applications to Information Theory
    • F.D. Neeser, "Proper Complex Random Processes With Applications to Information Theory," IEEE Trans. Inf. Th., vol. 39, pp. 1293-1302, 1993.
    • (1993) IEEE Trans. Inf. Th. , vol.39 , pp. 1293-1302
    • Neeser, F.D.1
  • 7
    • 0029411030 scopus 로고
    • An Information Maximisation Approach to Blind Separation and Blind Deconvolution
    • A.J. Bell and T.J. Sejnowski, "An Information Maximisation Approach to Blind Separation and Blind Deconvolution," Neural Comput., vol. 7, pp. 1129-1159, 1995.
    • (1995) Neural Comput. , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 8
    • 0032212942 scopus 로고    scopus 로고
    • Blind Separation of Convolved Mixtures in the Frequency Domain
    • P. Smaragdis, "Blind Separation of Convolved Mixtures in the Frequency Domain," Neurocomputing, vol. 22, pp. 21-34, 1998.
    • (1998) Neurocomputing , vol.22 , pp. 21-34
    • Smaragdis, P.1
  • 10
    • 0027812550 scopus 로고
    • Blind Beamforming for Non Gaussian Signals
    • J.F. Cardoso and A. Souloumiac, "Blind Beamforming for Non Gaussian Signals," IEE-Proceeding-F, vol. 140, pp. 362-370, 1993.
    • (1993) IEE-Proceeding-F , vol.140 , pp. 362-370
    • Cardoso, J.F.1    Souloumiac, A.2
  • 11
    • 0034753663 scopus 로고    scopus 로고
    • A Method for Making Group Inferences From Functional MRI Data Using Independent Component Analysis
    • 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," Hum. Brain Map., vol. 14, pp. 140-151, 2001.
    • (2001) Hum. Brain Map. , vol.14 , pp. 140-151
    • Calhoun, V.D.1    Adali, T.2    Pearlson, G.D.3    Pekar, J.J.4
  • 12
    • 0033556834 scopus 로고    scopus 로고
    • Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources
    • T.W. Lee, M. Girolami, and T.J. Sejnowski, "Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources," Neural Comput., vol. 11, pp. 417-441, 1999.
    • (1999) Neural Comput. , vol.11 , pp. 417-441
    • Lee, T.W.1    Girolami, M.2    Sejnowski, T.J.3
  • 13
    • 0036289981 scopus 로고    scopus 로고
    • Universal Approximation of Fully Complex Feed-Forward Neural Networks
    • Orlando, FL
    • T. Kim and T. Adali, "Universal Approximation of Fully Complex Feed-Forward Neural Networks," in Proc. ICASSP, Orlando, FL, 2002.
    • (2002) Proc. ICASSP
    • Kim, T.1    Adali, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.