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URL: http://research.ics.aalto.fi/ica/icasso/
Proper Citation: ICASSO (RRID:SCR_014981)
Description: Software implementing a method for assessing both the algorithmic and statistical reliability of estimated independent components developed by Himburg et al in their 2004 paper. The method is based on running the ICA algorithm many times with slightly different conditions and visualizing the clustering structure of the obtained components in the signal space. In experiments with magnetoencephalographic (MEG) and functional magnetic resonance imaging (fMRI) data, the method was able to show that expected components are reliable; furthermore, it pointed out components whose interpretation was not obvious but whose reliability should incite the experimenter to investigate the underlying technical or physical phenomena.
Synonyms: Icasso 1.2, Icasso
Resource Type: software resource, software application, algorithm resource, data processing software, data visualization software
Defining Citation: PMID:15219593
Keywords: independent component analysis, ica, ica estimate, visualization method, tight cluster
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