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    1. Mingrui Xia

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    1. Chao-Gan YAN

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BrainNet Viewer

Informations
BrainNet Viewer is a brain network visualization tool, which can help researchers to visualize structural and functional connectivity patterns from different levels in a quick, easy, and flexible way.
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Specifications

Category:Visualization
License:GNU General Public License (GPL)
Development Status:5 - Production/Stable
Domain:Uncategorized Domain
Environment:Win32 (MS Windows)
Intended Audience:End Users
Natural Language:English
Operating System:MacOS, Windows, Linux
Programming Language:MATLAB

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invalid loading of analyze volumes posted by Mingrui Xia on Mar 11
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help forum

RE: Multiple volumes? posted by Mingrui Xia on Mar 11
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help forum

Multiple volumes? posted by Rodolphe Nenert on Mar 11
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Main Folder documentation

BrainNet Viewer Manual 1.41 (Word version, 10M) posted by Mingrui Xia on Sep 17, 2012
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Main Folder documentation

BrainNet Viewer Manual 1.41 (PDF version, 2M) posted by Mingrui Xia on Sep 17, 2012
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bnv:  BrainNet Viewer 1.41 Released 20120918 release

BrainNetViewer_20120918.zip posted by Mingrui Xia on Sep 17, 2012
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bnv: BrainNet Viewer 1.4 Released 20120809 release

BrainNetViewer_20120809.zip posted by Mingrui Xia on Aug 9, 2012
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bnv: BrainNet Viewer 1.3 Released 20120724 release

BrainNetViewer_20120724.zip posted by Mingrui Xia on Jul 24, 2012
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bnv:  BrainNet Viewer 1.21 Released 20120414 release

BrainNetViewer_20120414.zip posted by Mingrui Xia on Apr 14, 2012
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bnv: BrainNet Viewer 1.2 Released 20120412 release

BrainNetViewer_20120412.zip posted by Mingrui Xia on Apr 11, 2012
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Reviews & Ratings

User Reviews (1)

OVERALL:4 out of 5
INSTALLATION:4 out of 5
DOCUMENTATION:4 out of 5

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Total Downloads: 4864

Activity Percentile: 84.73%

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Registered: Jul 7, 2011

Organization: Beijing Normal University

Center: National Key Laboratory of Cognitive Neuroscience and Learning

This work was supported by:
the Natural Science Foundation (Grant Nos. 81030028 and 30870667), the National Science Fund for Distinguished Young Scholars (Grant No. 81225012, YH), and Beijing Natural Science Foundation (Grant No. Z111107067311036 and 7102090).

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