pdcm : A toolbox for massively parallel dynamic causal modeling duardo

@inproceedings{Apontea2015pdcmA,
  title={pdcm : A toolbox for massively parallel dynamic causal modeling duardo},
  author={A. Apontea and S P Venkata Ramana and Biswa Senguptab and Will D. Pennyb and laas E. Stephana and Jakob Heinzlea},
  year={2015}
}
Background: Dynamic causal modeling (DCM) for fMRI is an established method for Bayesian system identification and inference on effective brain connectivity. DCM relies on a biophysical model that links hidden neuronal activity to measurable BOLD signals. Currently, biophysical simulations from DCM constitute a serious computational hindrance. Here, we… CONTINUE READING