This repository is updated yearly and is a part of the hands-on workshop on Brain-Computer Interface with a theme on how to bridge the gap between Neuroscience and Computational Intelligence to design and develop Brain-Computer Interface. This workshop intends to promote standardization of terminologies and technologies for Brain-Computer Interfaces to computational intelligence practitioners and Neuroscience communities. The workshop promotes the utilization of open-source tools such as for enhancing community cohesion and BCI standardization.
- Jupyter Notebook to create and process EEG data with TensorFlow from the workshop in 2022 and 2023
- Three set of EEG data collected from P300 experiment during the workshop
- Data is in .mat format and contain two variables Data (Channel X Number of Samples]) and Label (Binary class)
- Unity Game engine based experimental scenario used during workshop for P300 and SSVEP
- No for BCI Workshop in 2023.
- Yes for BCI Workshop in 2022, whole workshop has been recorded over zoom and has been uploaded on following Youtube location
- Singh, A.K., Sahonero-Alvarez, G., Mahmud, M. and Bianchi, L., 2021. Towards Bridging the Gap Between Computational Intelligence and Neuroscience in Brain-Computer Interfaces With a Common Description of Systems and Data. Frontiers in Neuroinformatics, 15
- Easttom, Chuck, Luigi Bianchi, Davide Valeriani, Chang S. Nam, Ali Hossaini, Dariusz Zapała, Avid Roman-Gonzalez et al. "A functional model for unifying brain computer interface terminology." IEEE Open Journal of Engineering in Medicine and Biology 2 (2021): 91-96.
- Šoškić, Anđela, Suzy J. Styles, Emily S. Kappenman, and Vanja Kovic. "Garden of forking paths in ERP research–effects of varying pre-processing and analysis steps in an N400 experiment." (2022).
- BCI with TensorFlow
- Example of popular BCI experiment using Python
- TensorFlow Tutorial links provide by Josh Gordon in workshop