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Volumn , Issue , 2009, Pages 433-436

Modelling the neurovascular habituation effect on fMRI time series

Author keywords

Bayes procedures; Biomedical signal detection; Functional MRI; Non stationary model; Repetition suppression effect

Indexed keywords

BRAIN; CHEMICAL ACTIVATION; ELECTRIC ARC WELDING; MAGNETIC RESONANCE IMAGING; SPEECH COMMUNICATION; TIME SERIES;

EID: 70349463011     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2009.4959613     Document Type: Conference Paper
Times cited : (8)

References (10)
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  • 2
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    • Spatial mixture modelling for the joint detection-estimation of brain activity in fMRI
    • Hawaii
    • T. Vincent, P. Ciuciu, and J. Idier, "Spatial mixture modelling for the joint detection-estimation of brain activity in fMRI," in 32th Proc. IEEE ICASSP, Hawaii, 2007, vol. I, pp. 325-328.
    • (2007) 32th Proc. IEEE ICASSP , vol.1 , pp. 325-328
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  • 4
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    • Bayesian deconvolution fMRI data using bilinear dynamical systems
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    • Makni, S.1    Beckmann, C.2    Smith, S.3    Woolrich, M.4
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    • Are fMRI event-related response constant in time? A model selection answer
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  • 9
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    • Constrained linear basis set for HRF modelling using variational Bayes
    • M. Woolrich, M. Jenkinson, J. M. Brady, and S. Smith, "Constrained linear basis set for HRF modelling using variational Bayes," Neuroimage, vol. 21, no. 4, pp. 1748-1761, 2004.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.