Welcome![Sign In][Sign Up]
Location:
Search - ICA_demo_fMRI

Search list

[Other resourceICA_demo_fMRI

Description: ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI scannings of humans. Another provided by the EU sponsored MAPAWAMO project from fMRI scannings of monkeys. In the demo comparison between icaMS, icaML, icaMF, icaMF (positive sources) and PCA can be made. More detailes can found in [2]. -ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI scannings of humans. Another provided by the EU sponsored MAPAWAMO project from fMRI scannings of monkeys. In the demo comparison between icaMS, icaML, icaMF, icaMF (positive sources) and PCA can be made. More detailes can found in [2].
Platform: | Size: 2772862 | Author: 海心 | Hits:

[Other resourceICA_demo_fMRI

Description: 快速独立分量分析(FastICA)源码及ICA在MRI图像中应用的例程。
Platform: | Size: 2772862 | Author: 深蓝色 | Hits:

[matlabICA_demo_fMRI

Description: ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI scannings of humans. Another provided by the EU sponsored MAPAWAMO project from fMRI scannings of monkeys. In the demo comparison between icaMS, icaML, icaMF, icaMF (positive sources) and PCA can be made. More detailes can found in [2]. -ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI scannings of humans. Another provided by the EU sponsored MAPAWAMO project from fMRI scannings of monkeys. In the demo comparison between icaMS, icaML, icaMF, icaMF (positive sources) and PCA can be made. More detailes can found in [2].
Platform: | Size: 2772992 | Author: 海心 | Hits:

[matlabICA_demo_fMRI

Description: 快速独立分量分析(FastICA)源码及ICA在MRI图像中应用的例程。-Fast independent component analysis (FastICA) and ICA source images in MRI applications routines.
Platform: | Size: 2772992 | Author: 深蓝色 | Hits:

CodeBus www.codebus.net