Welcome to the collection of documents for TAPAS - Translational Algorithms for Psychiatry-Advancing Science.

Adding Documents: Members of TAPAS - Translational Algorithms for Psychiatry-Advancing Science may submit documents to the folders below; however, an administrator will decide whether or not to publish a document.

Deleting Documents: If you find an out-dated document, please send a request to the tool/resource administrator.

Add New Document
Show documents in: 
Folders/DocumentsAdd
TAPAS README
Description: TAPAS README, as distributed with the downloaded software, Getting Started
Updated: Mar 12, 2018
TAPAS Wiki
Description: TAPAS Wiki Landing page, linking to documentation of all included toolboxes
Updated: Mar 12, 2018
Technical Publications ( 8 )+
A generative model of whole-brain effective connectivity.
Description: Frassle, Stefan, et al. A generative model of whole-brain effective connectivity. ''Neuroimage''. 2018 Oct 1; '''179''': 505-529
Updated: Sep 19, 2018
mpdcm: A toolbox for massively parallel dynamic causal modeling.
Description: Aponte, Eduardo A, et al. mpdcm: A toolbox for massively parallel dynamic causal modeling. ''J Neurosci Methods''. 2016 Jan 15; '''257''': 7-16
Updated: Mar 12, 2018
Regression DCM for fMRI.
Description: Frassle, Stefan, et al. Regression DCM for fMRI. ''Neuroimage''. 2017 Jul 15; '''155''': 406-421
Updated: Sep 19, 2018
The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data.
Description: Kasper, Lars, et al. The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data. ''J Neurosci Methods''. 2017 Jan 30; '''276''': 56-72
Updated: Mar 12, 2018
The Stochastic Early Reaction, Inhibition, and late Action (SERIA) model for antisaccades.
Description: Aponte, Eduardo A, et al. The Stochastic Early Reaction, Inhibition, and late Action (SERIA) model for antisaccades. ''PLoS Comput Biol''. 2017 Aug; '''13''' (8):e1005692
Updated: Mar 12, 2018
Uncertainty in perception and the Hierarchical Gaussian Filter.
Description: Mathys, Christoph D, et al. Uncertainty in perception and the Hierarchical Gaussian Filter. ''Front Hum Neurosci''. 2014; '''8''': 825
Updated: Mar 12, 2018
Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE).
Description: Yao, Yu, et al. Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE). ''Neuroimage''. 2018 Oct 1; '''179''': 604-619
Updated: Sep 19, 2018
Variational Bayesian mixed-effects inference for classification studies.
Description: Brodersen, Kay H, et al. Variational Bayesian mixed-effects inference for classification studies. ''Neuroimage''. 2013 Aug 1; '''76''': 345-61
Updated: Mar 12, 2018