Research Topic

Datasets for Brain-Computer Interface Applications

About this Research Topic

Brain-computer interfaces (BCIs) are exciting technologies that provide channels of communication between the brain and a computer system. They can be used as communication devices, rehabilitation systems, entertainment devices, and for a whole host of other applications.

Research in BCI is developing rapidly and is a highly multidisciplinary field, involving neuroscientists, engineers, psychologists, computer scientists, clinicians etc. However, reliability and reproducibility of BCI research is held back by a dearth of high quality, publicly available, datasets with which new systems, tools, and technologies, can be evaluated and compared. Indeed the small number of high-quality datasets that are publicly available date back up to 10 years and are now at risk of being over-fit due to frequent use.

This Research Topic seeks to provide a place to collate descriptions, reviews, surveys, and evaluations of publicly available physiological datasets recorded during training and evaluation of BCI systems from leading BCI research labs around the world. This will allow further use of these datasets in development of future BCI systems and encourage high quality and rapid continual development of BCI systems by providing multiple datasets upon which new methods may be rigorously evaluated and compared.

This collection of articles also seeks to provide a platform for new scientific publications, literature reviews, and any other article types related to the availability and use of public datasets in BCI research.

Additionally, all authors are encouraged to upload their data sets on
the BNCI Horizon 2020 web repository to make them available for the
community. Thus, our Research Topic will provide a collated collection of BCI datasets and their descriptions as a resource for future BCI developers.


Keywords: Brain-computer interfaces, Brain-machine interfaces, Open access data, EEG, EMG, fMRI, ECoG, MEG, fNIRS, Spike train recordings


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Brain-computer interfaces (BCIs) are exciting technologies that provide channels of communication between the brain and a computer system. They can be used as communication devices, rehabilitation systems, entertainment devices, and for a whole host of other applications.

Research in BCI is developing rapidly and is a highly multidisciplinary field, involving neuroscientists, engineers, psychologists, computer scientists, clinicians etc. However, reliability and reproducibility of BCI research is held back by a dearth of high quality, publicly available, datasets with which new systems, tools, and technologies, can be evaluated and compared. Indeed the small number of high-quality datasets that are publicly available date back up to 10 years and are now at risk of being over-fit due to frequent use.

This Research Topic seeks to provide a place to collate descriptions, reviews, surveys, and evaluations of publicly available physiological datasets recorded during training and evaluation of BCI systems from leading BCI research labs around the world. This will allow further use of these datasets in development of future BCI systems and encourage high quality and rapid continual development of BCI systems by providing multiple datasets upon which new methods may be rigorously evaluated and compared.

This collection of articles also seeks to provide a platform for new scientific publications, literature reviews, and any other article types related to the availability and use of public datasets in BCI research.

Additionally, all authors are encouraged to upload their data sets on
the BNCI Horizon 2020 web repository to make them available for the
community. Thus, our Research Topic will provide a collated collection of BCI datasets and their descriptions as a resource for future BCI developers.


Keywords: Brain-computer interfaces, Brain-machine interfaces, Open access data, EEG, EMG, fMRI, ECoG, MEG, fNIRS, Spike train recordings


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Topic Editors

Loading..

Submission Deadlines

31 December 2019 Abstract
31 May 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..

Topic Editors

Loading..

Submission Deadlines

31 December 2019 Abstract
31 May 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..
Loading..

total views article views article downloads topic views

}
 
Top countries
Top referring sites
Loading..

Comments

Loading..

Add a comment

Add comment
Back to top
);