Tool/Resource: TAPAS - Translational Algorithms for Psychiatry-Advancing Science - News

TAPAS v4.0.0 released

tapas@www.nitrc.org (TAPAS Admin) — Wed, 16 Dec 2020 14:03:25 GMT

We are excited to announce a major release of TAPAS: v4.0.0.

In addition to updates to existing toolboxes, this release comes with a new toolbox “ceode” to integrate delay differential equations (DDEs) underlying convolution based Dynamic Causal Models for ERPs.

For the first time, we also release task code: the filter detection task (FDT).

TAPAS v3.1.0 released

tapas@www.nitrc.org (TAPAS Admin) — Tue, 16 Apr 2019 12:20:25 GMT

Dear NITRC-users,

we are happy to announce a new release 3.1.0 of our TAPAS software suite on GitHub: https://translationalneuromodeling.github.io/tapas/#download

It includes updates to most of our toolboxes (HGF, HUGE, PhysIO, rDCM, SERIA), including several bug fixes, improvements to the documentation, new models, and Brain Imaging Data Structure (BIDS) support. See https://github.com/translationalneuromodeling/tapas/releases for a full list of changes.

More information on TAPAS in general can be found on GitHub: https://github.com/translationalneuromodeling/tapas/blob/master/README.md

We are excited to hear your feedback (https://github.com/translationalneuromodeling/tapas/issues)!

Kind regards,
Lars Kasper (PhysIO Developer)
TNU

TAPAS v3.0.0 released

larskasper@www.nitrc.org (Lars Kasper) — Thu, 27 Sep 2018 12:36:33 GMT

Dear NITRC-users,

we are happy to announce a new release 3.0.0 of our TAPAS software suite on GitHub: https://translationalneuromodeling.github.io/tapas/

Besides updates to most of our toolboxes (HGF, MPDCM, PhysIO, SERIA), we have two new 'tapas' for DCM:

• HUGE: Variational Bayesian inversion for hierarchical unsupervised generative embedding (https://doi.org/10.1016/j.neuroimage.2018.06.073).
• rDCM: DCM-based, efficient inference on effective brain connectivity for fMRI (https://doi.org/10.1016/j.neuroimage.2018.05.058).

For more information, checkout the documentation on GitHub: https://github.com/translationalneuromodeling/tapas/blob/master/README.md

We are excited about your feedback (https://github.com/translationalneuromodeling/tapas/issues)!

Kind regards,
Lars Kasper (PhysIO Developer)
TNU