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Differences between revisions 1 and 18 (spanning 17 versions)
⇤ ← Revision 1 as of 2009-09-25 21:54:49 →
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← Revision 18 as of 2011-05-14 00:43:09 → ⇥
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Deletions are marked like this. Additions are marked like this.
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= Tutorial 1.8: Processes =
This tutorial uses Sabine Meunier's somatotopy experiment, called ''TutorialCTF ''in your Brainstorm database.
= Tutorial 9: Processes =
The main window includes a graphical batching interface that directly benefits from the database explorer: files are organized as a tree of subjects and conditions, and simple drag-and-drop operations readily select files for subsequent batch processing. Most of the Brainstorm features are (or will be) available through this interface, including pre-processing of the recordings, averaging, time-frequency decompositions, and computing statistics. A full analysis pipeline can be created in a few minutes, saved in the user’s preferences and reloaded in one click, executed directly or exported as a Matlab script.
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The ''Processes ''tab in Brainstorm window is a very generic tool that can be used to apply a function or extract data from any set of data files (recordings or sources). Its main applications are: pre-processing, averaging, and data extraction.

<<TableOfContents(2)>>

== How does it work ? ==

== Next ==
This is the end of the first tutorial, based on CTF MEG recordings.

Other important notions are going to be introduced in a tutorial based on EEG data : clusters of electrodes, and statistical analysis. But please go again through all the importation / anatomy definition
== Selecting files to process ==
== Creating a pipeline ==
== Plugin structure ==
The available processes are organized in a plug-in structure. Any Matlab script that is added to the plug-in folder and has the right format will be automatically detected and made available in the GUI. This mechanism makes the contribution from other developers to Brainstorm very easy.

Tutorial 9: Processes

The main window includes a graphical batching interface that directly benefits from the database explorer: files are organized as a tree of subjects and conditions, and simple drag-and-drop operations readily select files for subsequent batch processing. Most of the Brainstorm features are (or will be) available through this interface, including pre-processing of the recordings, averaging, time-frequency decompositions, and computing statistics. A full analysis pipeline can be created in a few minutes, saved in the user’s preferences and reloaded in one click, executed directly or exported as a Matlab script.

Selecting files to process

Creating a pipeline

Plugin structure

The available processes are organized in a plug-in structure. Any Matlab script that is added to the plug-in folder and has the right format will be automatically detected and made available in the GUI. This mechanism makes the contribution from other developers to Brainstorm very easy.

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