What is Lyngby?
Lyngby is a Matlab
Toolbox for the analysis of functional neuroimages, such a fMRI.
It was developed at the Technical
University of Denmark by Finn Årup Nielsen,
Peter Toft, Matthew Liptrot, Cyrill Goutte and Lars Kai Hansen
for more details).
It is primarily intended as a "Modeller's Toolbox"
- in other words it allows researchers to directly compare how
well both simple and complicated leading edge modelling algorithms
fit the time-series data. As such, it includes many models,
such as K-Means clustering, FIR Filter, Lange-Zeger, Neural
Networks, t-tests etc, etc.
The toolbox is under continuous development, and so we are
always looking to add-in new algorithms. See the model
page for an up-to-date list of the models currently
The toolbox is free for non-commercial use, and comes as a
series (over 300) of Matlab *.m source files. This allows you
to see how the algorithms are implemented, and also to add your
own in so you may directly compare your model with those currently
The Toolbox files are wrapped-up in a graphical user interface
(GUI) so it is very easy to use.
In addition to the online help, there is also a comprehensive
manual, along with
Getting Started and Example Analysis guides to
enable new users to jump up the learning curve.
Go straight to the download page
for more details, and the commercial restrictions.