fNIRS Data Analysis Environment Releases

fnirs_downstate nirsLAB_v201904

downstateotg@www.nitrc.org (Harry Graber) — Mon, 03 Jun 2019 10:02:00 GMT

fnirs_downstate nirsLAB v2017.06

downstateotg@www.nitrc.org (Harry Graber) — Fri, 30 Jun 2017 10:35:00 GMT

fnirs_downstate nirsLAB v2016.05

downstateotg@www.nitrc.org (Harry Graber) — Mon, 09 May 2016 8:59:00 GMT

fnirs_downstate nirsLAB v2016.01

downstateotg@www.nitrc.org (Harry Graber) — Thu, 28 Jan 2016 17:27:00 GMT

fnirs_downstate nirsLAB v2014.12 (executable version)

downstateotg@www.nitrc.org (Harry Graber) — Fri, 16 Jan 2015 17:35:00 GMT

fnirs_downstate nirsLAB v2014.12 (MATLAB p-code version)

downstateotg@www.nitrc.org (Harry Graber) — Fri, 16 Jan 2015 17:28:00 GMT

fnirs_downstate nirsLAB v2014.05

downstateotg@www.nitrc.org (Harry Graber) — Tue, 10 Jun 2014 20:43:00 GMT

This release contains an update to our nirsLAB data processing and analysis application for functional near infrared spectroscopic data. There are two zipped files available for download here:

1. nirsLAB_v016_p.zip contains the application, in the form of MATLAB p-code files.

2. nirsLAB_UserManual_2014.zip contains the updated user's guide, including a 1-page description (ReleaseNotes.pdf) of the improvements that have been made to nirsLAB. When this file is zipped, you will find that there is a separate PDF file for each chapter.

3. nirsLAB_UserManual_AllChapters_2014.pdf contains all of the user's guide chapters combined into a single document.

At this time, no demo-data files have been added or modified. You may continue to work with the files that are included in the previous release.

fnirs_downstate Nov2012

downstateotg@www.nitrc.org (Harry Graber) — Mon, 12 Nov 2012 17:28:00 GMT

1. The files added to our package today (December 4, 2013) relate to a new software application called nirsLAB. Use it to perform topographic data analysis of fNIRS time-series data. As with the earlier NAVI package, you will indicate the locations of source and detector probes on the skin. However, since volumetric image reconstruction is not being performed, there is no need to also specify a 3D FEM model.

2. If you are going to perform GLM computations on your data, then you will need to have a concurrent installation of NAVI and nirsLAB on the same computer. In all other respects, nirsLAB is a stand-alone product.

3. nirsLAB runs within a MATLAB environment; you will need a MATLAB release more recent than 2008. We did our code development in Windows, so we cannot make any guarantees about how/if it will perform in other operating systems.