Computational approaches to fMRI analysis

@article{Cohen2017ComputationalAT,
  title={Computational approaches to fMRI analysis},
  author={Jonathan D. Cohen and Nathaniel D. Daw and Barbara E. Engelhardt and Uri Hasson and Kai Li and Yael Niv and Kenneth A. Norman and Jonathan W. Pillow and Peter J. Ramadge and Nicholas B. Turk-Browne and Theodore L. Willke},
  journal={Nature Neuroscience},
  year={2017},
  volume={20},
  pages={304-313}
}
Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within individual voxels or regions, averaged over trials or blocks and modeled separately in each participant. This approach mostly neglected the distributed nature of neural representations over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits of performing joint inference over multiple participants and the… CONTINUE READING