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OpenBCI Inc open source brain–computer interface
Open Source Brain–Computer Interface, supplied by OpenBCI 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/product/source+code+and+guis/brain+computer+interface+platform/pm36679557-294-13-18
Average 90 stars, based on 1 article reviews
open source brain–computer interface - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Open hardware: From DIY trend to global transformation in access to laboratory equipment
Article Snippet: OpenBCI , Brain–computer interface platform , https://openbci.com/.

Article Title: Advanced Modeling and Signal Processing Methods in Brain-Computer Interfaces Based on a Vector of Cyclic Rhythmically Connected Random Processes.
Article Snippet: Notations and Abbreviations The following abbreviations and notations are used in this manuscript: EEG electroencephalographic BCI brain–computer interface OpenBCI open source brain–computer interface GUI graphical user interface ADC analog-to-digital converter Ag-AgCl electrode silver chloride electrode R set of real numbers Z set of integers N set of natural numbers Ω set of elementary events N number of electrodes (leads) on the surface of the operator’s head M number of experiments of the same type carried out for one operator γ parameter denoting (marking) an invariant from the group of invariants of vectors of cyclic rhythmically connected random processes E{·} mathematical expectation operator ΘN(ω, t) vector of cyclic rhythmically connected random processes ξi(ω, t) ith component of vector of cyclic rhythmically connected random processes T(t, n) rhythm function of vector of cyclic rhythmically connected random processes ΘNω (t) realization of vector of cyclic rhythmically connected random processes Fkξi1 ...ξik (x1, .

Article Title: Neuroscience Needs Hackers.
Article Snippet: There was a time when neuroscientists could only dream of having such a problem.. Now the fantasy has come true, and they are struggling to solve it.. Brilliant new exploratory devices are overwhelming the fi eld with an avalanche of raw data about the nervous system’s inner workings.

Article Title: A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments.
Article Snippet: An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation.

Article Title: The Characteristics of the Reduction of Interference Effect during Dual-Task Cognitive-Motor Training Compared to a Single Task Cognitive and Motor Training in Elderly: A Randomized Controlled Trial
Article Snippet: Moreover, an open-source DynamicCognition training on the basis of OpenBCI brain–computer interference platform (GNU GPL v3.0 license), operating with Ubuntu 14.04 software, was used.

Article Title: Alpha band neurofeedback training based on a portable device improves working memory performance of young people
Article Snippet: Background: Working Memory (WM) plays a key role in cognitive activities such as problem solving, intellectual reasoning, and mathematical calculation.. It has been reported that electroencephalogram (EEG) based Neurofeedback (NF) training shows good application value in improving subjects’ WM.. Objectives: In this study, a low-cost and portable Neurofeedback Training (NFT) system based on a real-time EEG brain-computer interface (BCI) was built to explore whether the NFT based on alpha band can effectively regulate subjects’ WM level.

Environmental Monitoring:

Article Title: Open hardware: From DIY trend to global transformation in access to laboratory equipment
Article Snippet: OpenBCI , Brain–computer interface platform , https://openbci.com/.

Article Title: Advanced Modeling and Signal Processing Methods in Brain-Computer Interfaces Based on a Vector of Cyclic Rhythmically Connected Random Processes.
Article Snippet: Notations and Abbreviations The following abbreviations and notations are used in this manuscript: EEG electroencephalographic BCI brain–computer interface OpenBCI open source brain–computer interface GUI graphical user interface ADC analog-to-digital converter Ag-AgCl electrode silver chloride electrode R set of real numbers Z set of integers N set of natural numbers Ω set of elementary events N number of electrodes (leads) on the surface of the operator’s head M number of experiments of the same type carried out for one operator γ parameter denoting (marking) an invariant from the group of invariants of vectors of cyclic rhythmically connected random processes E{·} mathematical expectation operator ΘN(ω, t) vector of cyclic rhythmically connected random processes ξi(ω, t) ith component of vector of cyclic rhythmically connected random processes T(t, n) rhythm function of vector of cyclic rhythmically connected random processes ΘNω (t) realization of vector of cyclic rhythmically connected random processes Fkξi1 ...ξik (x1, .

Article Title: Neuroscience Needs Hackers.
Article Snippet: There was a time when neuroscientists could only dream of having such a problem.. Now the fantasy has come true, and they are struggling to solve it.. Brilliant new exploratory devices are overwhelming the fi eld with an avalanche of raw data about the nervous system’s inner workings.

Article Title: A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments.
Article Snippet: An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation.

Article Title: The Characteristics of the Reduction of Interference Effect during Dual-Task Cognitive-Motor Training Compared to a Single Task Cognitive and Motor Training in Elderly: A Randomized Controlled Trial
Article Snippet: Moreover, an open-source DynamicCognition training on the basis of OpenBCI brain–computer interference platform (GNU GPL v3.0 license), operating with Ubuntu 14.04 software, was used.

Article Title: Alpha band neurofeedback training based on a portable device improves working memory performance of young people
Article Snippet: Background: Working Memory (WM) plays a key role in cognitive activities such as problem solving, intellectual reasoning, and mathematical calculation.. It has been reported that electroencephalogram (EEG) based Neurofeedback (NF) training shows good application value in improving subjects’ WM.. Objectives: In this study, a low-cost and portable Neurofeedback Training (NFT) system based on a real-time EEG brain-computer interface (BCI) was built to explore whether the NFT based on alpha band can effectively regulate subjects’ WM level.

Microscopy:

Article Title: Open hardware: From DIY trend to global transformation in access to laboratory equipment
Article Snippet: OpenBCI , Brain–computer interface platform , https://openbci.com/.

Article Title: Advanced Modeling and Signal Processing Methods in Brain-Computer Interfaces Based on a Vector of Cyclic Rhythmically Connected Random Processes.
Article Snippet: Notations and Abbreviations The following abbreviations and notations are used in this manuscript: EEG electroencephalographic BCI brain–computer interface OpenBCI open source brain–computer interface GUI graphical user interface ADC analog-to-digital converter Ag-AgCl electrode silver chloride electrode R set of real numbers Z set of integers N set of natural numbers Ω set of elementary events N number of electrodes (leads) on the surface of the operator’s head M number of experiments of the same type carried out for one operator γ parameter denoting (marking) an invariant from the group of invariants of vectors of cyclic rhythmically connected random processes E{·} mathematical expectation operator ΘN(ω, t) vector of cyclic rhythmically connected random processes ξi(ω, t) ith component of vector of cyclic rhythmically connected random processes T(t, n) rhythm function of vector of cyclic rhythmically connected random processes ΘNω (t) realization of vector of cyclic rhythmically connected random processes Fkξi1 ...ξik (x1, .

Article Title: Neuroscience Needs Hackers.
Article Snippet: There was a time when neuroscientists could only dream of having such a problem.. Now the fantasy has come true, and they are struggling to solve it.. Brilliant new exploratory devices are overwhelming the fi eld with an avalanche of raw data about the nervous system’s inner workings.

Article Title: A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments.
Article Snippet: An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation.

Article Title: The Characteristics of the Reduction of Interference Effect during Dual-Task Cognitive-Motor Training Compared to a Single Task Cognitive and Motor Training in Elderly: A Randomized Controlled Trial
Article Snippet: Moreover, an open-source DynamicCognition training on the basis of OpenBCI brain–computer interference platform (GNU GPL v3.0 license), operating with Ubuntu 14.04 software, was used.

Article Title: Alpha band neurofeedback training based on a portable device improves working memory performance of young people
Article Snippet: Background: Working Memory (WM) plays a key role in cognitive activities such as problem solving, intellectual reasoning, and mathematical calculation.. It has been reported that electroencephalogram (EEG) based Neurofeedback (NF) training shows good application value in improving subjects’ WM.. Objectives: In this study, a low-cost and portable Neurofeedback Training (NFT) system based on a real-time EEG brain-computer interface (BCI) was built to explore whether the NFT based on alpha band can effectively regulate subjects’ WM level.

Blocking Assay:

Article Title: Open hardware: From DIY trend to global transformation in access to laboratory equipment
Article Snippet: OpenBCI , Brain–computer interface platform , https://openbci.com/.

Article Title: Advanced Modeling and Signal Processing Methods in Brain-Computer Interfaces Based on a Vector of Cyclic Rhythmically Connected Random Processes.
Article Snippet: Notations and Abbreviations The following abbreviations and notations are used in this manuscript: EEG electroencephalographic BCI brain–computer interface OpenBCI open source brain–computer interface GUI graphical user interface ADC analog-to-digital converter Ag-AgCl electrode silver chloride electrode R set of real numbers Z set of integers N set of natural numbers Ω set of elementary events N number of electrodes (leads) on the surface of the operator’s head M number of experiments of the same type carried out for one operator γ parameter denoting (marking) an invariant from the group of invariants of vectors of cyclic rhythmically connected random processes E{·} mathematical expectation operator ΘN(ω, t) vector of cyclic rhythmically connected random processes ξi(ω, t) ith component of vector of cyclic rhythmically connected random processes T(t, n) rhythm function of vector of cyclic rhythmically connected random processes ΘNω (t) realization of vector of cyclic rhythmically connected random processes Fkξi1 ...ξik (x1, .

Article Title: Neuroscience Needs Hackers.
Article Snippet: There was a time when neuroscientists could only dream of having such a problem.. Now the fantasy has come true, and they are struggling to solve it.. Brilliant new exploratory devices are overwhelming the fi eld with an avalanche of raw data about the nervous system’s inner workings.

Article Title: A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments.
Article Snippet: An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation.

Article Title: The Characteristics of the Reduction of Interference Effect during Dual-Task Cognitive-Motor Training Compared to a Single Task Cognitive and Motor Training in Elderly: A Randomized Controlled Trial
Article Snippet: Moreover, an open-source DynamicCognition training on the basis of OpenBCI brain–computer interference platform (GNU GPL v3.0 license), operating with Ubuntu 14.04 software, was used.

Article Title: Alpha band neurofeedback training based on a portable device improves working memory performance of young people
Article Snippet: Background: Working Memory (WM) plays a key role in cognitive activities such as problem solving, intellectual reasoning, and mathematical calculation.. It has been reported that electroencephalogram (EEG) based Neurofeedback (NF) training shows good application value in improving subjects’ WM.. Objectives: In this study, a low-cost and portable Neurofeedback Training (NFT) system based on a real-time EEG brain-computer interface (BCI) was built to explore whether the NFT based on alpha band can effectively regulate subjects’ WM level.

Software:

Article Title: Open hardware: From DIY trend to global transformation in access to laboratory equipment
Article Snippet: OpenBCI , Brain–computer interface platform , https://openbci.com/.

Article Title: Advanced Modeling and Signal Processing Methods in Brain-Computer Interfaces Based on a Vector of Cyclic Rhythmically Connected Random Processes.
Article Snippet: Notations and Abbreviations The following abbreviations and notations are used in this manuscript: EEG electroencephalographic BCI brain–computer interface OpenBCI open source brain–computer interface GUI graphical user interface ADC analog-to-digital converter Ag-AgCl electrode silver chloride electrode R set of real numbers Z set of integers N set of natural numbers Ω set of elementary events N number of electrodes (leads) on the surface of the operator’s head M number of experiments of the same type carried out for one operator γ parameter denoting (marking) an invariant from the group of invariants of vectors of cyclic rhythmically connected random processes E{·} mathematical expectation operator ΘN(ω, t) vector of cyclic rhythmically connected random processes ξi(ω, t) ith component of vector of cyclic rhythmically connected random processes T(t, n) rhythm function of vector of cyclic rhythmically connected random processes ΘNω (t) realization of vector of cyclic rhythmically connected random processes Fkξi1 ...ξik (x1, .

Article Title: Neuroscience Needs Hackers.
Article Snippet: There was a time when neuroscientists could only dream of having such a problem.. Now the fantasy has come true, and they are struggling to solve it.. Brilliant new exploratory devices are overwhelming the fi eld with an avalanche of raw data about the nervous system’s inner workings.

Article Title: A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments.
Article Snippet: An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation.

Article Title: The Characteristics of the Reduction of Interference Effect during Dual-Task Cognitive-Motor Training Compared to a Single Task Cognitive and Motor Training in Elderly: A Randomized Controlled Trial
Article Snippet: Moreover, an open-source DynamicCognition training on the basis of OpenBCI brain–computer interference platform (GNU GPL v3.0 license), operating with Ubuntu 14.04 software, was used.

Article Title: Alpha band neurofeedback training based on a portable device improves working memory performance of young people
Article Snippet: Background: Working Memory (WM) plays a key role in cognitive activities such as problem solving, intellectual reasoning, and mathematical calculation.. It has been reported that electroencephalogram (EEG) based Neurofeedback (NF) training shows good application value in improving subjects’ WM.. Objectives: In this study, a low-cost and portable Neurofeedback Training (NFT) system based on a real-time EEG brain-computer interface (BCI) was built to explore whether the NFT based on alpha band can effectively regulate subjects’ WM level.

Imaging:

Article Title: Open hardware: From DIY trend to global transformation in access to laboratory equipment
Article Snippet: OpenBCI , Brain–computer interface platform , https://openbci.com/.

Article Title: Advanced Modeling and Signal Processing Methods in Brain-Computer Interfaces Based on a Vector of Cyclic Rhythmically Connected Random Processes.
Article Snippet: Notations and Abbreviations The following abbreviations and notations are used in this manuscript: EEG electroencephalographic BCI brain–computer interface OpenBCI open source brain–computer interface GUI graphical user interface ADC analog-to-digital converter Ag-AgCl electrode silver chloride electrode R set of real numbers Z set of integers N set of natural numbers Ω set of elementary events N number of electrodes (leads) on the surface of the operator’s head M number of experiments of the same type carried out for one operator γ parameter denoting (marking) an invariant from the group of invariants of vectors of cyclic rhythmically connected random processes E{·} mathematical expectation operator ΘN(ω, t) vector of cyclic rhythmically connected random processes ξi(ω, t) ith component of vector of cyclic rhythmically connected random processes T(t, n) rhythm function of vector of cyclic rhythmically connected random processes ΘNω (t) realization of vector of cyclic rhythmically connected random processes Fkξi1 ...ξik (x1, .

Article Title: Neuroscience Needs Hackers.
Article Snippet: There was a time when neuroscientists could only dream of having such a problem.. Now the fantasy has come true, and they are struggling to solve it.. Brilliant new exploratory devices are overwhelming the fi eld with an avalanche of raw data about the nervous system’s inner workings.

Article Title: A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments.
Article Snippet: An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation.

Article Title: The Characteristics of the Reduction of Interference Effect during Dual-Task Cognitive-Motor Training Compared to a Single Task Cognitive and Motor Training in Elderly: A Randomized Controlled Trial
Article Snippet: Moreover, an open-source DynamicCognition training on the basis of OpenBCI brain–computer interference platform (GNU GPL v3.0 license), operating with Ubuntu 14.04 software, was used.

Article Title: Alpha band neurofeedback training based on a portable device improves working memory performance of young people
Article Snippet: Background: Working Memory (WM) plays a key role in cognitive activities such as problem solving, intellectual reasoning, and mathematical calculation.. It has been reported that electroencephalogram (EEG) based Neurofeedback (NF) training shows good application value in improving subjects’ WM.. Objectives: In this study, a low-cost and portable Neurofeedback Training (NFT) system based on a real-time EEG brain-computer interface (BCI) was built to explore whether the NFT based on alpha band can effectively regulate subjects’ WM level.



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MathWorks Inc gui source code
<t>GUI</t> for the resection segmentation. ( A ): Interface to select postoperative MRI and preoperative brain-mask files, or the patient’s Brainstorm anatomy folder that contains them. ( B ): Slider to select tolerance threshold (default: optimal value). ( C ): Interface to place the initial seed using an MRI viewer (see ) or entering its coordinates. The user can set an additional ROI for region growing by entering its ranges (this is optional, see ). ( D ): Options to exclude brain ventricles and/or generate the anatomical report through a brain parcellation file, which must be selected. E and F: the user can change the view ( E ) and slice ( F ) to visualize the postoperative MRI and resection model shown in G. ( G ): Preview of results (left: postoperative MRI; middle: resection model, right: automated report and resection volume in cm 3 ). ( H ): Buttons to run the segmentation (“Calculate”), or to export results to a file <t>(NIfTI),</t> <t>MATLAB</t> workspace, or directly to the initial Brainstorm anatomy folder. Status LED turns red in case of error (green otherwise). “Show 3D” button shows the resection model (see ), while “Reset” allows to reset all settings and run again.
Gui Source Code, 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/product/source+code+and+guis/pmc09032020-51-1-9
Average 90 stars, based on 1 article reviews
gui source code - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

90
MathWorks Inc source code and guis
<t>GUI</t> for the resection segmentation. ( A ): Interface to select postoperative MRI and preoperative brain-mask files, or the patient’s Brainstorm anatomy folder that contains them. ( B ): Slider to select tolerance threshold (default: optimal value). ( C ): Interface to place the initial seed using an MRI viewer (see ) or entering its coordinates. The user can set an additional ROI for region growing by entering its ranges (this is optional, see ). ( D ): Options to exclude brain ventricles and/or generate the anatomical report through a brain parcellation file, which must be selected. E and F: the user can change the view ( E ) and slice ( F ) to visualize the postoperative MRI and resection model shown in G. ( G ): Preview of results (left: postoperative MRI; middle: resection model, right: automated report and resection volume in cm 3 ). ( H ): Buttons to run the segmentation (“Calculate”), or to export results to a file <t>(NIfTI),</t> <t>MATLAB</t> workspace, or directly to the initial Brainstorm anatomy folder. Status LED turns red in case of error (green otherwise). “Show 3D” button shows the resection model (see ), while “Reset” allows to reset all settings and run again.
Source Code And Guis, 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/product/source+code+and+guis/pmc05332402-92-9-2
Average 90 stars, based on 1 article reviews
source code and guis - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

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GUI for the resection segmentation. ( A ): Interface to select postoperative MRI and preoperative brain-mask files, or the patient’s Brainstorm anatomy folder that contains them. ( B ): Slider to select tolerance threshold (default: optimal value). ( C ): Interface to place the initial seed using an MRI viewer (see ) or entering its coordinates. The user can set an additional ROI for region growing by entering its ranges (this is optional, see ). ( D ): Options to exclude brain ventricles and/or generate the anatomical report through a brain parcellation file, which must be selected. E and F: the user can change the view ( E ) and slice ( F ) to visualize the postoperative MRI and resection model shown in G. ( G ): Preview of results (left: postoperative MRI; middle: resection model, right: automated report and resection volume in cm 3 ). ( H ): Buttons to run the segmentation (“Calculate”), or to export results to a file (NIfTI), MATLAB workspace, or directly to the initial Brainstorm anatomy folder. Status LED turns red in case of error (green otherwise). “Show 3D” button shows the resection model (see ), while “Reset” allows to reset all settings and run again.

Journal: Diagnostics

Article Title: Novel User-Friendly Application for MRI Segmentation of Brain Resection following Epilepsy Surgery

doi: 10.3390/diagnostics12041017

Figure Lengend Snippet: GUI for the resection segmentation. ( A ): Interface to select postoperative MRI and preoperative brain-mask files, or the patient’s Brainstorm anatomy folder that contains them. ( B ): Slider to select tolerance threshold (default: optimal value). ( C ): Interface to place the initial seed using an MRI viewer (see ) or entering its coordinates. The user can set an additional ROI for region growing by entering its ranges (this is optional, see ). ( D ): Options to exclude brain ventricles and/or generate the anatomical report through a brain parcellation file, which must be selected. E and F: the user can change the view ( E ) and slice ( F ) to visualize the postoperative MRI and resection model shown in G. ( G ): Preview of results (left: postoperative MRI; middle: resection model, right: automated report and resection volume in cm 3 ). ( H ): Buttons to run the segmentation (“Calculate”), or to export results to a file (NIfTI), MATLAB workspace, or directly to the initial Brainstorm anatomy folder. Status LED turns red in case of error (green otherwise). “Show 3D” button shows the resection model (see ), while “Reset” allows to reset all settings and run again.

Article Snippet: The GUI source code is freely available as a MATLAB-based application ( https://github.com/rbillardello/BrainResectionApp (accessed on 14 April 2022)).

Techniques: