Research Center for Learning Science GNU General Public License (GPL) Yes Southeast University NITRC SLIC: a whole brain parcellation toolbox The SLIC toolbox contains five whole brain parcellation approaches that operates on resting-state fMRI data. Three of them are reproduced from the Ncut-based approaches in (Craddock et al., 2012, HBM) and (Shen et al., 2013, Neuroimage). The remaining two are the mean SLIC and two-level SLIC approaches that integrate Ncut and SLIC. The release includes a demo which reproduces the experiments in the paper (https://doi.org/10.3389/fnhum.2016.00659), and atlases generated based on 190 subjects from the Beijing_Zang dataset. Matlab scripts, a set of test data and some instructions are included in the release. 2016-12-14 SLIC 12/2016 demo 2016-5-28 SLIC 05/2016 alpha SLIC: a whole brain parcellation toolbox Atlas Application, Atlas Data, Test Data, Two Dimensional Display, Volumetric Analysis, Quality Metrics, Computational Neuroscience, GNU General Public License (GPL) http://www.nitrc.org/projects/slic/