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TAPAS Wiki

This is the Wiki documentation for TAPAS. Since TAPAS is a collection of different tools and packages, note that this is just a landing page to direct you to the individual documentation of the toolboxes. General remarks on TAPAS can be found in its README.md.

Here is the documentation for TAPAS' different components:

• ceode: Continuous Extension of ODE methods. A toolbox for robust estimation of convolution based Dynamic Causal Models (DCMs) for evoked responses (ERPs).
• genbed: A Python package for data exploration and classification as part of the generative embedding pipeline.
• HGF: The Hierarchical Gaussian Filter; Bayesian inference on computational processes from observed behaviour
• HUGE: Variational Bayesian inversion for Hierarchical Unsupervised Generative Embedding
• PhysIO: Physiological Noise Correction for fMRI
• rDCM: Regression Dynamic Causal Modeling, efficient inference on effective brain connectivity for fMRI
• SEM: SERIA Model for Eye Movements (saccades and anti-saccades) and Reaction Times

Here for the tasks:

• FDT: Filter Detection Task.
• BLT: Breathing Learning Task.

And here for the beta versions of toolboxes:

• UniQC: unified neuroimaging quality control.