Searching across hundreds of databases

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Resource Name
ICASSO
RRID:SCR_014981 RRID Copied      
PDF Report How to cite
ICASSO (RRID:SCR_014981)
Copy Citation Copied
Resource Information

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

Expand All
This resource

uses

FastICA

uses

MATLAB

Usage and Citation Metrics

We found {{ ctrl2.mentions.total_count }} mentions in open access literature.

We have not found any literature mentions for this resource.

We are searching literature mentions for this resource.

Most recent articles:

{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})

Checkfor all resource mentions.

Collaborator Network

A list of researchers who have used the resource and an author search tool

Find mentions based on location


{{ ctrl2.mentions.errors.location }}

A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.

Ratings and Alerts

No rating or validation information has been found for ICASSO.

No alerts have been found for ICASSO.

Data and Source Information