open source code of na-memd causal decomposition Search Results


pivlab—time-resolved digital particle image velocimetry tool  (MathWorks Inc)
90
MathWorks Inc pivlab—time-resolved digital particle image velocimetry tool
Pivlab—Time Resolved Digital Particle Image Velocimetry Tool, 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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pivlab—time-resolved digital particle image velocimetry tool - by Bioz Stars, 2026-03
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3d slicer package  (Kitware Inc)
90
Kitware Inc 3d slicer package
3d Slicer Package, supplied by Kitware 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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3d slicer package - by Bioz Stars, 2026-03
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open source format milkyway  (Synopsys Inc)
90
Synopsys Inc open source format milkyway
Open Source Format Milkyway, supplied by Synopsys 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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open source format milkyway - by Bioz Stars, 2026-03
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milkyway by synopsys  (Synopsys Inc)
90
Synopsys Inc milkyway by synopsys
Milkyway By Synopsys, supplied by Synopsys 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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milkyway by synopsys - by Bioz Stars, 2026-03
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matlab toolbox epat  (MathWorks Inc)
90
MathWorks Inc matlab toolbox epat
Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
Matlab Toolbox Epat, 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/matlab toolbox epat/product/MathWorks Inc
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matlab toolbox epat - by Bioz Stars, 2026-03
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matlab-based program ncorr v1.2  (MathWorks Inc)
90
MathWorks Inc matlab-based program ncorr v1.2
Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
Matlab Based Program Ncorr V1.2, 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/matlab-based program ncorr v1.2/product/MathWorks Inc
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matlab-based program ncorr v1.2 - by Bioz Stars, 2026-03
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photo-voltaic geographical information system (pvgis)  (Joint Research Center)
90
Joint Research Center photo-voltaic geographical information system (pvgis)
Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
Photo Voltaic Geographical Information System (Pvgis), supplied by Joint Research Center, 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/photo-voltaic geographical information system (pvgis)/product/Joint Research Center
Average 90 stars, based on 1 article reviews
photo-voltaic geographical information system (pvgis) - by Bioz Stars, 2026-03
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bmi_ct  (SourceForge net)
90
SourceForge net bmi_ct
Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
Bmi Ct, supplied by SourceForge net, 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/bmi_ct/product/SourceForge net
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bmi_ct - by Bioz Stars, 2026-03
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open-source script hitcal  (MathWorks Inc)
90
MathWorks Inc open-source script hitcal
Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
Open Source Script Hitcal, 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/open-source script hitcal/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
open-source script hitcal - by Bioz Stars, 2026-03
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1stopt professional version 1.5  (High Technology Inc)
90
High Technology Inc 1stopt professional version 1.5
Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
1stopt Professional Version 1.5, supplied by High Technology 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/1stopt professional version 1.5/product/High Technology Inc
Average 90 stars, based on 1 article reviews
1stopt professional version 1.5 - by Bioz Stars, 2026-03
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web-based repository  (Wikimedia Foundation)
90
Wikimedia Foundation web-based repository
Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
Web Based Repository, supplied by Wikimedia Foundation, 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/web-based repository/product/Wikimedia Foundation
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web-based repository - by Bioz Stars, 2026-03
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open medical record system openmrs 5  (OpenMRS LLC)
90
OpenMRS LLC open medical record system openmrs 5
Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
Open Medical Record System Openmrs 5, supplied by OpenMRS LLC, 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/open medical record system openmrs 5/product/OpenMRS LLC
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open medical record system openmrs 5 - by Bioz Stars, 2026-03
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Image Search Results


Illustrates the fundamental workflow and principal algorithms involved in the EPAT toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Illustrates the fundamental workflow and principal algorithms involved in the EPAT toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

Comparison of EPAT and EEGLAB by 16 participants across 14 dimensions. * Indicates statistically significant differences.

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Comparison of EPAT and EEGLAB by 16 participants across 14 dimensions. * Indicates statistically significant differences.

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques: Comparison

Main functionality of EPAT.

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Main functionality of EPAT.

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques: Selection

Schematic representation of the EPAT GUI and project directory and EEG file preparation. (GUI, graphical user interface; EEG, electroencephalography).

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Schematic representation of the EPAT GUI and project directory and EEG file preparation. (GUI, graphical user interface; EEG, electroencephalography).

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

Defining parameters in EPAT. In general, five steps are required to complete the setting of all parameters. DefineParam1: Define data import parameters for a processing project. DefineParam2: Define preprocessing and filtering parameters for EEG data. DefineParam3: Define channel selection and ICA parameters. DefineParam4: Define ERP epoch and time-frequency analysis parameters. DefineParam5: Define ERP events and conditions parameters. After clicking “Next,” a separate new interface will pop up (the previous interface will not disappear). (ICA, independent component analysis; EEG, electroencephalography; ERP, event-related potential).

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Defining parameters in EPAT. In general, five steps are required to complete the setting of all parameters. DefineParam1: Define data import parameters for a processing project. DefineParam2: Define preprocessing and filtering parameters for EEG data. DefineParam3: Define channel selection and ICA parameters. DefineParam4: Define ERP epoch and time-frequency analysis parameters. DefineParam5: Define ERP events and conditions parameters. After clicking “Next,” a separate new interface will pop up (the previous interface will not disappear). (ICA, independent component analysis; EEG, electroencephalography; ERP, event-related potential).

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques: Selection

Running the batch preprocess script in EPAT. After clicking “Step 1 Run Batch Preprocess Script” and starting the analysis, four windows appear: 1. The MATLAB command window. 2. EPAT analysis progress. 3. The Pause window. 4. The EEGLAB information pop-up window.

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Running the batch preprocess script in EPAT. After clicking “Step 1 Run Batch Preprocess Script” and starting the analysis, four windows appear: 1. The MATLAB command window. 2. EPAT analysis progress. 3. The Pause window. 4. The EEGLAB information pop-up window.

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

Processing EEG data in EPAT. The process EEG One by One step contains a total of seven steps. (A) General page layout. (B) The scroll channel activities, scroll component activities, and topoplot map obtained from the loaded data. (EEG, electroencephalography).

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Processing EEG data in EPAT. The process EEG One by One step contains a total of seven steps. (A) General page layout. (B) The scroll channel activities, scroll component activities, and topoplot map obtained from the loaded data. (EEG, electroencephalography).

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

Processing ERP data in EPAT. The Epoch ERP One by One step contains a total of eight steps. (A) General page layout. (B) Analysis process after clicking “Start” in Step 3: First, users browse through each trial from the beginning, then click the bad trial with the left mouse button and mark it. After marking, users click “Bad trials” in the lower right corner, then return to the EpochERP interface and click “Acquire bad trials”; the corresponding bad trial number will appear in the upper space. (ERP, event-related potential).

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Processing ERP data in EPAT. The Epoch ERP One by One step contains a total of eight steps. (A) General page layout. (B) Analysis process after clicking “Start” in Step 3: First, users browse through each trial from the beginning, then click the bad trial with the left mouse button and mark it. After marking, users click “Bad trials” in the lower right corner, then return to the EpochERP interface and click “Acquire bad trials”; the corresponding bad trial number will appear in the upper space. (ERP, event-related potential).

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

Averaged ERP results in EPAT. (A) There are five modules (1. Load parameter file; 2. Load subject list; 3. Load ERP result file; 4. Select ERP from subjects and conditions; and 5. Plot mean ERPs from multiple subjects) and a toolbar (show filenames, show event names, plot channel locations, and save channel names) in the Step 4 (Show Averaged ERP Results) interface. (B) Export amplitudes and latencies of different averaged ERP components (in the form of Excel) for statistical tests. (ERP, event-related potential).

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Averaged ERP results in EPAT. (A) There are five modules (1. Load parameter file; 2. Load subject list; 3. Load ERP result file; 4. Select ERP from subjects and conditions; and 5. Plot mean ERPs from multiple subjects) and a toolbar (show filenames, show event names, plot channel locations, and save channel names) in the Step 4 (Show Averaged ERP Results) interface. (B) Export amplitudes and latencies of different averaged ERP components (in the form of Excel) for statistical tests. (ERP, event-related potential).

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

Time-frequency analysis in EPAT. Step 5 (Run TF for ERP) contains four modules. (A) General page layout: Module 1: Basic settings; Module 2: Extract rhythm and TF configurations; EEG/ERP configurations for TF; Module 3: Defined TF settings; and Module 4, which is used to track the procedure (at the bottom). (B) After clicking “Show TF” and entering the time window, frequency range, and channels of interest, EPAT will show and export TF results for ERP. (TF, time-frequency; ERP, event-related potential).

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Time-frequency analysis in EPAT. Step 5 (Run TF for ERP) contains four modules. (A) General page layout: Module 1: Basic settings; Module 2: Extract rhythm and TF configurations; EEG/ERP configurations for TF; Module 3: Defined TF settings; and Module 4, which is used to track the procedure (at the bottom). (B) After clicking “Show TF” and entering the time window, frequency range, and channels of interest, EPAT will show and export TF results for ERP. (TF, time-frequency; ERP, event-related potential).

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

Performance comparison with existing toolboxes.

Journal: Frontiers in Neuroinformatics

Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

doi: 10.3389/fninf.2024.1384250

Figure Lengend Snippet: Performance comparison with existing toolboxes.

Article Snippet: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques: Comparison