Copyright 1999-2000 VA Linux Systems, Inc. http://www.nitrc.org TAPAS - Translational Algorithms for Psychiatry-Advancing Science Latest News http://www.nitrc.org/forum/forum.php?forum_id=9533 We are excited to announce a major release of TAPAS: v4.0.0. <br /> <br /> 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. <br /> <br /> For the first time, we also release task code: the filter detection task (FDT).<br /> TAPAS - Translational Algorithms for Psychiatry-Advancing Science TAPAS Admin Wed, 16 Dec 2020 2:03:25 GMT http://www.nitrc.org/forum/forum.php?forum_id=9150 Dear NITRC-users,<br /> <br /> we are happy to announce a new release 3.1.0 of our TAPAS software suite on GitHub: https://translationalneuromodeling.github.io/tapas/#download<br /> <br /> 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.<br /> <br /> More information on TAPAS in general can be found on GitHub: https://github.com/translationalneuromodeling/tapas/blob/master/README.md<br /> <br /> We are excited to hear your feedback (https://github.com/translationalneuromodeling/tapas/issues)!<br /> <br /> Kind regards,<br /> Lars Kasper (PhysIO Developer)<br /> TNU TAPAS - Translational Algorithms for Psychiatry-Advancing Science TAPAS Admin Tue, 16 Apr 2019 12:20:25 GMT http://www.nitrc.org/forum/forum.php?forum_id=8993 Dear NITRC-users,<br /> <br /> we are happy to announce a new release 3.0.0 of our TAPAS software suite on GitHub: https://translationalneuromodeling.github.io/tapas/<br /> <br /> Besides updates to most of our toolboxes (HGF, MPDCM, PhysIO, SERIA), we have two new 'tapas' for DCM:<br /> <br /> • HUGE: Variational Bayesian inversion for hierarchical unsupervised generative embedding (https://doi.org/10.1016/j.neuroimage.2018.06.073).<br /> • rDCM: DCM-based, efficient inference on effective brain connectivity for fMRI (https://doi.org/10.1016/j.neuroimage.2018.05.058).<br /> <br /> For more information, checkout the documentation on GitHub: https://github.com/translationalneuromodeling/tapas/blob/master/README.md<br /> <br /> We are excited about your feedback (https://github.com/translationalneuromodeling/tapas/issues)!<br /> <br /> Kind regards,<br /> Lars Kasper (PhysIO Developer)<br /> TNU<br /> TAPAS - Translational Algorithms for Psychiatry-Advancing Science Lars Kasper Thu, 27 Sep 2018 12:36:33 GMT