matlab toolbox dynamicbc Search Results


matlab toolkit dynamicbc  (MathWorks Inc)
90
MathWorks Inc matlab toolkit dynamicbc
Matlab Toolkit Dynamicbc, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab toolbox dynamicbc  (MathWorks Inc)
96
MathWorks Inc matlab toolbox dynamicbc
Matlab Toolbox Dynamicbc, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab 2023a  (MathWorks Inc)
90
MathWorks Inc matlab 2023a
Matlab 2023a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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dynamicbc  (MathWorks Inc)
90
MathWorks Inc dynamicbc
The framework of the <t>DynamicBC</t> toolbox. A graphical user interface (GUI) can be started by calling the “DynamicBC'” function in the command window of the MATLAB. The following procedures include three parts: the selection of connectivity types (the functional connectivity [FC] and effective connectivity [EC]), selection of dynamic analysis strategies (the sliding-window and flexible least squares [FLS]), and selection of connectivity measures (the seed-to-voxel, region of interest [ROI]-to-ROI, and voxel-to-voxel analysis). The subsequent brain connectomes are then visualized. Color images available online at www.liebertpub.com/brain
Dynamicbc, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/dynamicbc/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
dynamicbc - by Bioz Stars, 2026-04
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toolbox for dynamic brain connectome analysis  (MathWorks Inc)
90
MathWorks Inc toolbox for dynamic brain connectome analysis
The framework of the <t>DynamicBC</t> toolbox. A graphical user interface (GUI) can be started by calling the “DynamicBC'” function in the command window of the MATLAB. The following procedures include three parts: the selection of connectivity types (the functional connectivity [FC] and effective connectivity [EC]), selection of dynamic analysis strategies (the sliding-window and flexible least squares [FLS]), and selection of connectivity measures (the seed-to-voxel, region of interest [ROI]-to-ROI, and voxel-to-voxel analysis). The subsequent brain connectomes are then visualized. Color images available online at www.liebertpub.com/brain
Toolbox For Dynamic Brain Connectome Analysis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/toolbox for dynamic brain connectome analysis/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
toolbox for dynamic brain connectome analysis - by Bioz Stars, 2026-04
90/100 stars
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Image Search Results


The framework of the DynamicBC toolbox. A graphical user interface (GUI) can be started by calling the “DynamicBC'” function in the command window of the MATLAB. The following procedures include three parts: the selection of connectivity types (the functional connectivity [FC] and effective connectivity [EC]), selection of dynamic analysis strategies (the sliding-window and flexible least squares [FLS]), and selection of connectivity measures (the seed-to-voxel, region of interest [ROI]-to-ROI, and voxel-to-voxel analysis). The subsequent brain connectomes are then visualized. Color images available online at www.liebertpub.com/brain

Journal: Brain Connectivity

Article Title: DynamicBC : A MATLAB Toolbox for Dynamic Brain Connectome Analysis

doi: 10.1089/brain.2014.0253

Figure Lengend Snippet: The framework of the DynamicBC toolbox. A graphical user interface (GUI) can be started by calling the “DynamicBC'” function in the command window of the MATLAB. The following procedures include three parts: the selection of connectivity types (the functional connectivity [FC] and effective connectivity [EC]), selection of dynamic analysis strategies (the sliding-window and flexible least squares [FLS]), and selection of connectivity measures (the seed-to-voxel, region of interest [ROI]-to-ROI, and voxel-to-voxel analysis). The subsequent brain connectomes are then visualized. Color images available online at www.liebertpub.com/brain

Article Snippet: We have presented the DynamicBC , a new MATLAB toolbox for the analysis of dynamic brain connectome from multiple functional neuroimaging.

Techniques: Selection, Functional Assay