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Volumn , Issue , 2010, Pages 13-16

Quantifying the information content of brain voxels using Target Information, Gaussian processes and recursive feature elimination

Author keywords

fMRI; Gaussian process; Probabilistic classification; Recursive feature elimination; Target Information

Indexed keywords

FMRI; GAUSSIAN PROCESSES; PROBABILISTIC CLASSIFICATION; RECURSIVE FEATURE ELIMINATION; TARGET INFORMATION;

EID: 78049522285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WBD.2010.12     Document Type: Conference Paper
Times cited : (8)

References (8)
  • 1
    • 0041737619 scopus 로고    scopus 로고
    • Functional magnetic resonance imaging (fMRI) "brain reading": Detecting and classifying distributed patterns of fMRI activity in human visual cortex
    • Jun
    • D. D. Cox and R. L. Savoy, "Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex, " Neuroimage, vol. 19, pp. 261-270, Jun 2003.
    • (2003) Neuroimage , vol.19 , pp. 261-270
    • Cox, D.D.1    Savoy, R.L.2
  • 3
    • 28244492778 scopus 로고    scopus 로고
    • Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
    • Dec
    • J. Mourao-Miranda, et al., "Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data, " Neuroimage, vol. 28, pp. 980-95, Dec 2005.
    • (2005) Neuroimage , vol.28 , pp. 980-995
    • Mourao-Miranda, J.1
  • 4
    • 71849092693 scopus 로고    scopus 로고
    • Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes
    • Feb 1
    • A. Marquand, et al., "Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes, " NeuroImage, vol. 49, pp. 2178-2189, Feb 1 2010.
    • (2010) NeuroImage , vol.49 , pp. 2178-2189
    • Marquand, A.1
  • 5
    • 55349089531 scopus 로고    scopus 로고
    • Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns
    • Oct
    • O. Yamashita, et al., "Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns, " Neuroimage, vol. 42, pp. 1414-1429, Oct 2008.
    • (2008) Neuroimage , vol.42 , pp. 1414-1429
    • Yamashita, O.1
  • 6
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • I. Guyon, et al., "Gene selection for cancer classification using support vector machines, " Machine Learning, vol. 46, pp. 389-422, 2002.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1
  • 7
    • 52049116700 scopus 로고    scopus 로고
    • Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns
    • Oct
    • F. De Martino, et al., "Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns, " Neuroimage, vol. 43, pp. 44-58, Oct 2008.
    • (2008) Neuroimage , vol.43 , pp. 44-58
    • De Martino, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.