Modeling and analysis of mechanisms underlying fMRI-based decoding of information conveyed in cortical columns

@article{Chaimow2011ModelingAA,
  title={Modeling and analysis of mechanisms underlying fMRI-based decoding of information conveyed in cortical columns},
  author={Denis Chaimow and Essa Yacoub and Kamil Ugurbil and Amir Shmuel},
  journal={NeuroImage},
  year={2011},
  volume={56},
  pages={627-642}
}
Multivariate machine learning algorithms applied to human functional MRI (fMRI) data can decode information conveyed by cortical columns, despite the voxel-size being large relative to the width of columns. Several mechanisms have been proposed to underlie decoding of stimulus orientation or the stimulated eye. These include: (I) aliasing of high spatial-frequency components, including the main frequency component of the columnar organization, (II) contributions from local irregularities in the… CONTINUE READING
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Magnetic resonance imaging: physical principles and sequence design. Wiley-Liss

  • M. E. Haacke, R. W. Brown, M. R. Thompson
  • 1999
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