Classical and Bayesian inference in neuroimaging: theory

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Classical and Bayesian inference in neuroimaging: theory
Authors: Karl J. Friston, Will Penny, Christophe Phillips, Stefan Kiebel, Geoffrey E. Hinton, John Ashburner
Citation: NeuroImage 16 : 465-483. 2002
Database(s): Google Scholar cites PubMed (PMID/12030832)
DOI: 10.1006/nimg.2002.1090.
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Classical and Bayesian inference in neuroimaging: theory describes methods for neuroimaging analysis of functional magnetic resonance imaging (fMRI). Specifically, Bayesian estimation of applied for the following topic:

  • estimation of the serial correlation of fMRI scans
  • spatiotemporal modeling, i.e., correlation among voxels and time.
  • estimation of non-linear hemodynamic response models
  • EEG source localization

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