Research in Brain-Computer Interfaces (BCI) is a rapidly growing field, where evolving experimental paradigms, new brain signal sensor technology and improvements in signal analysis methods mutually inspire each other. In this prospering context, the BCI Competitions form a link between the BCI community with especially the Signal Processing and Machine Learning community.
Not only profits the BCI community from algorithmic improvements, but in reverse the solution of challenging data analysis problems (high noise conditions, non-stationarity etc.) can have impact on neighboring fields (mobile computing, gesture controlled applications etc.).
Like its predecessors, the BCI Competition IV drives the evaluation of competing algorithmic approaches to current practical challenges in BCI data analysis. The Research Topic is intended to represent the major entry point to the BCI Competition IV. It provides articles with descriptions of the data sets, the learning tasks, the motivation behind, the performance metrics applied, and -- of course -- the competition results. Successful participants will be encouraged to submit articles describing their algorithmic approaches.
Thus the Research Topic will play a major role in the dissemination of the evaluation results, and foster the uptake of new algorithmic solutions by BCI researchers and practitioners.
We are convinced, that the Frontiers platform is the ideal basis for the dissemination of the BCI Competition IV, as it shares not only our ideas about open access to articles, but also supports the dissemination of open data. The post-hoc availability of data sets from Competition I to III has stimulated many further research ideas, which is represented in a large number of follow-up publications. As scientific progress of the BCI community currently is very well-represented by Frontiers, having the special topic issue in Frontiers would be a perfect match.
Research in Brain-Computer Interfaces (BCI) is a rapidly growing field, where evolving experimental paradigms, new brain signal sensor technology and improvements in signal analysis methods mutually inspire each other. In this prospering context, the BCI Competitions form a link between the BCI community with especially the Signal Processing and Machine Learning community.
Not only profits the BCI community from algorithmic improvements, but in reverse the solution of challenging data analysis problems (high noise conditions, non-stationarity etc.) can have impact on neighboring fields (mobile computing, gesture controlled applications etc.).
Like its predecessors, the BCI Competition IV drives the evaluation of competing algorithmic approaches to current practical challenges in BCI data analysis. The Research Topic is intended to represent the major entry point to the BCI Competition IV. It provides articles with descriptions of the data sets, the learning tasks, the motivation behind, the performance metrics applied, and -- of course -- the competition results. Successful participants will be encouraged to submit articles describing their algorithmic approaches.
Thus the Research Topic will play a major role in the dissemination of the evaluation results, and foster the uptake of new algorithmic solutions by BCI researchers and practitioners.
We are convinced, that the Frontiers platform is the ideal basis for the dissemination of the BCI Competition IV, as it shares not only our ideas about open access to articles, but also supports the dissemination of open data. The post-hoc availability of data sets from Competition I to III has stimulated many further research ideas, which is represented in a large number of follow-up publications. As scientific progress of the BCI community currently is very well-represented by Frontiers, having the special topic issue in Frontiers would be a perfect match.
