If you're interested in becoming a contributor or requesting changes then click here to join the discord

Difference between revisions of "Lipsia"

From Brain Computer Interface Wiki
Jump to navigation Jump to search
(Created page with "Category:Software Lipsia is a collection of tools for the analysis of fMRI data. Its main focus is on new algorithms such as statistical inference (LISA), Eigenvector cent...")
 
 
Line 1: Line 1:
 +
[[Category:GitHub_Repos]]
 
[[Category:Software]]
 
[[Category:Software]]
 
Lipsia is a collection of tools for the analysis of fMRI data. Its main focus is on new algorithms such as statistical inference (LISA), Eigenvector centrality mapping (ECM) and network detection in task-fMRI (TED).
 
Lipsia is a collection of tools for the analysis of fMRI data. Its main focus is on new algorithms such as statistical inference (LISA), Eigenvector centrality mapping (ECM) and network detection in task-fMRI (TED).
 
==Links==
 
==Links==
 
[https://github.com/lipsia-fmri/lipsia GitHub]
 
[https://github.com/lipsia-fmri/lipsia GitHub]

Latest revision as of 22:11, 11 April 2022

Lipsia is a collection of tools for the analysis of fMRI data. Its main focus is on new algorithms such as statistical inference (LISA), Eigenvector centrality mapping (ECM) and network detection in task-fMRI (TED).

Links

GitHub