TAPAS - Translational Algorithms for Psychiatry-Advancing Science
Currently, TAPAS includes the following packages:
HGF: Hierarchical Gaussian Filter; Bayesian inference on computational processes from observed behavior
HUGE: Variational Bayesian inversion for hierarchical unsupervised generative embedding
MICP: Bayesian Mixed-effects Inference for Classification Studies
MPDCM: Massively Parallel DCM; Efficient numerical integration
PhysIO: Physiological Noise Correction for fMRI
rDCM: Efficient inference on effective brain connectivity for fMRI.
SEM: SERIA Model for (anti-)Saccadic Eye Movements and Reaction Times
VBLM: Variational Bayesian Linear Regression
TAPAS is written in MATLAB and distributed as open source code under GNU General Public License 3.0.
Supported Data Format:
Bayesian, DCM, fMRI, HGF, PhysIO, SPM
Recent Activity - Documents
A generative model of whole-brain effective connectivity. posted by Lars Kasper on Sep 19, 2018