Spatiotemporal beamforming demo with Jupyter notebook
This Jupyter notebook shows the spatiotemporal beamformer applied to an event-related potential classification problem. View the corresponding poster presentation here
- M. Van Vliet et al., “Single-trial erp component analysis using a spatiotemporal lcmv beamformer,” IEEE Transactions on Biomedical Engineering, vol. 63, no. 1, Art. no. 1, 2015, doi: 10.1109/tbme.2015.2468588.
- B. Wittevrongel and M. M. Van Hulle, “Faster p300 classifier training using spatiotemporal beamforming,” International journal of neural systems, vol. 26, no. 03, Art. no. 03, Apr. 2016, doi: 10.1142/S0129065716500143.
- B. Wittevrongel and M. M. Van Hulle, “Spatiotemporal beamforming: A transparent and unified decoding approach to synchronous visual Brain-Computer Interfacing,” Frontiers in neuroscience, vol. 11, p. 630, 2017, doi: 10.3389/fnins.2017.00630.