brain connectivity tool box (bct) for Search Results


brain-connectivity-toolbox  (MathWorks Inc)
90
MathWorks Inc brain-connectivity-toolbox
Brain Connectivity Toolbox, 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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brain vision recorder software 2.0  (brain products gmbh)
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brain products gmbh brain vision recorder software 2.0
Brain Vision Recorder Software 2.0, supplied by brain products gmbh, 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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brain vision recorder software 2.0 - by Bioz Stars, 2026-04
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connectome workbench  (MathWorks Inc)
90
MathWorks Inc connectome workbench
Connectome Workbench, 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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connectome workbench - by Bioz Stars, 2026-04
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brain connectivity toolbox  (MathWorks Inc)
90
MathWorks Inc brain connectivity toolbox
Brain Connectivity Toolbox, 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/brain connectivity toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
brain connectivity toolbox - by Bioz Stars, 2026-04
90/100 stars
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brain connectivity toolbox software  (MathWorks Inc)
90
MathWorks Inc brain connectivity toolbox software
Brain Connectivity Toolbox Software, 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/brain connectivity toolbox software/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
brain connectivity toolbox software - by Bioz Stars, 2026-04
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dream visualization data in dream1  (GraphPad Software Inc)
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GraphPad Software Inc dream visualization data in dream1
Dream Visualization Data In Dream1, supplied by GraphPad Software 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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dream visualization data in dream1 - by Bioz Stars, 2026-04
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matlab r2019b  (MathWorks Inc)
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MathWorks Inc matlab r2019b
Matlab R2019b, 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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scripts from the brain connectivity tool box  (MathWorks Inc)
90
MathWorks Inc scripts from the brain connectivity tool box
Scripts From The Brain Connectivity Tool Box, 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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scripts from the brain connectivity tool box - by Bioz Stars, 2026-04
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econnectome software  (MathWorks Inc)
90
MathWorks Inc econnectome software
The framework of the <t>eConnectome</t> toolbox. A graphical user interface can be started by calling ‘econnectome’ function in the command window of MATLAB. The EEG and ECoG modules can then be called individually. EEG/ECoG preprocessing, source imaging, and connectivity analysis using DTF and ADTF were implemented in the current version of the toolbox. Graphical representation of EEG/ECoG waveforms, scalp or cortical potential distributions, scalp or cortical connectivity patterns can be visualized.
Econnectome Software, 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/econnectome software/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
econnectome software - by Bioz Stars, 2026-04
90/100 stars
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anova codes in dream1  (MathWorks Inc)
90
MathWorks Inc anova codes in dream1
The framework of the <t>eConnectome</t> toolbox. A graphical user interface can be started by calling ‘econnectome’ function in the command window of MATLAB. The EEG and ECoG modules can then be called individually. EEG/ECoG preprocessing, source imaging, and connectivity analysis using DTF and ADTF were implemented in the current version of the toolbox. Graphical representation of EEG/ECoG waveforms, scalp or cortical potential distributions, scalp or cortical connectivity patterns can be visualized.
Anova Codes In Dream1, 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/anova codes in dream1/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
anova codes in dream1 - by Bioz Stars, 2026-04
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econnectome 2 0 software  (MathWorks Inc)
96
MathWorks Inc econnectome 2 0 software
The framework of the <t>eConnectome</t> toolbox. A graphical user interface can be started by calling ‘econnectome’ function in the command window of MATLAB. The EEG and ECoG modules can then be called individually. EEG/ECoG preprocessing, source imaging, and connectivity analysis using DTF and ADTF were implemented in the current version of the toolbox. Graphical representation of EEG/ECoG waveforms, scalp or cortical potential distributions, scalp or cortical connectivity patterns can be visualized.
Econnectome 2 0 Software, 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
https://www.bioz.com/result/econnectome 2 0 software/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
econnectome 2 0 software - by Bioz Stars, 2026-04
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The framework of the eConnectome toolbox. A graphical user interface can be started by calling ‘econnectome’ function in the command window of MATLAB. The EEG and ECoG modules can then be called individually. EEG/ECoG preprocessing, source imaging, and connectivity analysis using DTF and ADTF were implemented in the current version of the toolbox. Graphical representation of EEG/ECoG waveforms, scalp or cortical potential distributions, scalp or cortical connectivity patterns can be visualized.

Journal: Journal of neuroscience methods

Article Title: eConnectome: A MATLAB Toolbox for Mapping and Imaging of Brain Functional Connectivity

doi: 10.1016/j.jneumeth.2010.11.015

Figure Lengend Snippet: The framework of the eConnectome toolbox. A graphical user interface can be started by calling ‘econnectome’ function in the command window of MATLAB. The EEG and ECoG modules can then be called individually. EEG/ECoG preprocessing, source imaging, and connectivity analysis using DTF and ADTF were implemented in the current version of the toolbox. Graphical representation of EEG/ECoG waveforms, scalp or cortical potential distributions, scalp or cortical connectivity patterns can be visualized.

Article Snippet: In the present study, we have developed a MATLAB toolbox, the eConnectome (Electrophysiological Connectome) software, which implemented the above discussed techniques for mapping and imaging brain functional connectivity from the EEG and ECoG recordings ( He et al., 2010 ).

Techniques: Imaging

The main user interfaces in the eConnectome toolbox. (a) Scalp and cortical source imaging of a typical event-related potential (VEP data, see section 3.1). Functions of scalp potential mapping and source imaging can be activated by interactive selection of a time point. (b) Estimation of connectivity based on DTF/ADTF (ictal ECoG data, see section 3.3.1). The time interval and frequency band can be set interactively. The optimal order for the autoregressive model can be determined according to the curves plotted based on the Final Prediction Error (FPE) criterion (Akaike, 1971) and Schwarz Bayesian Criterion (SBC) (Schwarz, 1978). (c) Connectivity visualization (interictal ECoG data, see section 3.3.2). Stationary or time-varying information flows among multiple channels can be illustrated using graphics (upper left) and image (upper right). A set of options (bottom) is provided to control the visualization properties of the connectivity patterns.

Journal: Journal of neuroscience methods

Article Title: eConnectome: A MATLAB Toolbox for Mapping and Imaging of Brain Functional Connectivity

doi: 10.1016/j.jneumeth.2010.11.015

Figure Lengend Snippet: The main user interfaces in the eConnectome toolbox. (a) Scalp and cortical source imaging of a typical event-related potential (VEP data, see section 3.1). Functions of scalp potential mapping and source imaging can be activated by interactive selection of a time point. (b) Estimation of connectivity based on DTF/ADTF (ictal ECoG data, see section 3.3.1). The time interval and frequency band can be set interactively. The optimal order for the autoregressive model can be determined according to the curves plotted based on the Final Prediction Error (FPE) criterion (Akaike, 1971) and Schwarz Bayesian Criterion (SBC) (Schwarz, 1978). (c) Connectivity visualization (interictal ECoG data, see section 3.3.2). Stationary or time-varying information flows among multiple channels can be illustrated using graphics (upper left) and image (upper right). A set of options (bottom) is provided to control the visualization properties of the connectivity patterns.

Article Snippet: In the present study, we have developed a MATLAB toolbox, the eConnectome (Electrophysiological Connectome) software, which implemented the above discussed techniques for mapping and imaging brain functional connectivity from the EEG and ECoG recordings ( He et al., 2010 ).

Techniques: Imaging, Selection, Control