An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

• Updated Feb 27, 2024
• C

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

• Updated Jun 20, 2024
• Python

Classification toolbox for ERP and SSVEP based BCI data

• Updated May 3, 2021
• MATLAB

Python package for SSVEP datasets and algorithms. Corresponding paper has been accepted by IEEE TNSRE (DOI: 10.1109/TNSRE.2024.3424410)

• Updated Jul 22, 2024
• Python

The SSVEP Keyboard works with the icibici hardware. Once connected you should be able to look at keys and it will type them for you.

• Updated Jan 5, 2022
• C#

SSVEP-based BCI recording of 12 subjects operating an upper limb exoskeleton during a shared control task. The exoskeleton is either controlled with a touchless interface detecting hand poses or with BCI.

• Updated Dec 6, 2020

Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.

• Updated Jul 14, 2025
• Python

Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients' visual field.

• Updated Sep 20, 2022
• Python

Leverage SSVEP to control drone in real time

• Updated Oct 2, 2022
• Python

EEG BCI Real-Time Applications: Contains real-time demonstrations of BCI applications

• Updated Feb 15, 2023
• Jupyter Notebook

A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.

• Updated Dec 6, 2022
• Jupyter Notebook

The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)

• Updated Jun 21, 2025
• MATLAB

uniBrain Speller: A one-stop, user-friendly, open-source brain-computer interface speller software developed by Prof. Gao Xiaorong's team at Tsinghua University, China, designed for various users including patients, researchers, and practitioners.

• Updated Oct 13, 2023
• Python

Matlab code of our IEEE TASE paper "Wong, C. M., Wang, Z., Rosa, A. C., Chen, C. P., Jung, T. P., Hu, Y., & Wan, F. (2021). Transferring subject-specific knowledge across stimulus frequencies in SSVEP-based BCIs. IEEE Transactions on Automation Science and Engineering, 18(2), 552-563."

• Updated Dec 4, 2023
• MATLAB

SSVEP Brain Computer Interface - Example code for real-time detection of SSVEP using the Canonical Correlation Analysis (CCA) code in real-time. Implemented using OpenViBE and Python

• Updated Jul 25, 2019
• Python

• Updated Feb 19, 2019
• C#

Code to accompany our International Conference on Robotics and Automation (ICRA) paper entitled - Using variable natural environment brain-computer interface stimuli for real-time humanoid robot navigation.

• Updated Jun 20, 2024
• Python

C# program to superpose SSVEP and c-VEP flickers on top of other graphical interfaces

• Updated May 25, 2023
• C#

High School SSVEP-BCI Research Project to improve classification accuracy of captured EEG signals

• Updated May 31, 2019
• C#

Simulations of stimulus-stimulus transfer based on time-frequency-joint representation in SSVEP-based BCIs. The proposed stimulus-stimulus transfer method has been published in IEEE TBME (DOI: 10.1109/TBME.2022.3198639)

• Updated May 10, 2023
• MATLAB