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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.