News

• 2015-02-06 Attention MAC users: At the TRENTOOL workshop at UCL we noticed that TRENTOOL doesn't work for mac because of missing mex files for the maci64 archtitecture. This is fixed in the latest version of TRENTOOL3 - TRENTOOL now supports 64bit Mac architectures.
• 2015-01-02 Thanks to Patricia Wollstadt, the new Version 3.3 is available for download now, including a new manual. Version 3.3 contains a rewrite of some statistics functions and brings a many fold speedup when searching for the correct delays of the information transfer (~ number of delays searched for). Additional thanks go to Joe Lizier for pointing out further code changes for speeding up TRENTOOL.
• 2014-07-24 TRENTOOL's GPU routines are being ported to OPENCL, to make users with non-nvidia hardware happy, too.
• 2014-06-13 Bugfix in the routines computing the embedding delay ('tau'). Please update to the latest verison 3.2.
• 2013-06-21 Thanks to the very hard work of Mario Martinez Zarzuela and Patricia Wollstadt a stable TRENTOOL version for the analysis of non stationary data via the ensemble method of Gomez-Herrero and Vicente (http://arxiv.org/abs/1008.0539) is available. Note that you will need a larger amount of trials than usual to make this work nicely (at least 150 trials of 100ms at 1.2kHz sampling rate is recommended). Due to the necessary changes in surrogate statistics for the ensemble method, this will only run with GPU acceleration. The code for the next neighbour search on GPU was written by Mario in CUDA. When 'installing' TRENTOOL you will now have to run a little compiler script in MATLAB to compile the CUDA code for your card (if you want to use this functionality). To use it, you will need a CUDA capable graphics card. There is no need to heavily invest though as a GTX 580 should work (the algorithm uses single precision arithmetics for now, as this is what our EEGs and MEGs deliver in useful resolution anyway). Download the latest version (3.0) here.
• 2013-04-02 Analysis of non-stationary time series is now possible: New routines for the ensemble approach suggest by Gomez-Herrero and Raul Vicente (here), have been implemented together with the corresponding statistical tools by Mario Martinez Zarzuela and Patricia Wollstadt. You will need a CUDA-capable GPU (e.g. gtx580 is fine) to run this code. Contact us via email for a beta version of the code.