TAPAS is a collection of software tools intended to support the development of computational assays (Translational Neuromodeling) and their clinical application in Computational Psychiatry, Neurology and Psychosomatics. For a general overview of the TAPAS toolbox suite, including its mission, please refer to:
- Frässle, Stefan et al. "TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry". Frontiers in Psychiatry 12 (2021). https://doi.org/10.3389/fpsyt.2021.680811.
Currently, TAPAS includes the following packages:
- ActionModels.jl: A Julia package for behavioural modeling
- ActiveInference.jl: Computational modeling of active inference.
- CEODE: Continuous Extension of ODE methods. A toolbox for integration of delay differential equations for DCM for EEG/MEG.
- genbed: A Python package for data exploration and classification as part of the generative embedding pipeline.
- hgf-toolbox: The Hierarchical Gaussian Filter; Bayesian inference on computational processes from observed behaviour.
- HierarchicalGaussianFiltering.jl: The Julia implementation of the generalised hierarchical Gaussian filter
- PhysIO: Physiological Noise Correction for fMRI.
- PyHGF: A neural network library for predictive coding
- rDCM: Regression dynamic causal modeling; efficient inference on whole-brain effective connectivity from fMRI data.
- RegressionDynamicCausalModeling.jl: The Julia implementation of rDCM.
- UniQC: Unified neuroimaging quality control.
