I am trying to install the new version on redhat 7. For this
gunzip: fsl-3.2-redhat7.tar.gz: unexpected end of file
"gunzip -d" and "uncompress" also won't work. Does anyone also have
On Mon, 11 Oct 2004, Stephen Smith wrote:
> The latest release of FSL (3.2beta, September 2004) is now available
> for downloading from http://www.fmrib.ox.ac.uk/fsl
> The new version has been termed a "beta" release partly because it
> contains several new programs (see below) but mostly because of the
> large changes necessary to the underlying FSL libraries in order to
> support the new NIFTI format.
> Note: the commands for setting up your environment to use FSL have
> changed very slightly - see the "Running" section of the "Downloading
> and Installing" page at http://www.fmrib.ox.ac.uk/fsl
> What's new in this release:
> * FDT (FMRIB's Diffusion Toolbox) - first release of this complete
> toolkit for analysis of diffusion data, including probabilistic
> * FLOBS (FMRIB's Linear Optimal Basis Functions) - a new method for
> finding an optimal set of HRF convolution basis functions, plus a
> Bayesian estimation method for improving signal/noise separation using
> these basis functions.
> * SMM (Spatial Mixture Modelling) - a new tool for alternative
> hypothesis testing on statistic images using histogram mixture
> modelling with spatial regularisation of the voxel classification into
> activation and non-activation.
> * Randomise - a randomisation-based inference tool for nonparametric
> statistical thresholding.
> * BET v2 - can now estimate mesh representations of the inner and
> outer skull surfaces, and outer scalp surface, for example for use in
> EEG/MEG source modelling.
> * NIFTI - FSL now uses the NIFTI-1 data format by default (though can
> still read and write old Analyze files). Single-file NIFTI-1 images
> can be read and written already compressed, saving much disk space.
> * FEAT v5.4 - new features:
> o Use of FLOBS (optimised HRF basis sets).
> o Fixed-effects higher-level analysis (e.g. for within-subject
> cross-session analysis).
> o Option to prevent cleanup of standard-space first-level stats.
> o User preferences file (and network-wide preferences file) which
> can set FEAT preferences for loading on startup.
> o Inclusion of MELODIC data exploration at the end of Pre-stats.
> o Time-series (data vs model) plotting inside Featquery.
> * SIENA - can now do voxelwise cross-subject statistical atrophy
> analysis. Also, there is a small change to the partial volume
> estimation in FAST, causing slight differences in volume estimates;
> any multi-subject analysis using FAST/SIENAX estimated volumes must
> only use the previous version or only use this new version.