About this Research Topic
This Research Topic is part of the Methods in Frontiers in Human Neuroscience series.
This series aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in Brain-Computer Interface research. Review articles or opinions on methodologies or applications including the advantages and limitations of each are welcome.
This Topic includes technologies and up-to-date methods which help advance science and put Brain-Computer Interfaces into practice. General classifiers for everyone are a challenge for Brain-Computer Interfaces, while adaptive classifiers are currently more flexible and practical. Both are very meaningful for Brain-Computer Interfaces.
The contributions to this collection will undergo peer review. Novelty may vary, but the utility of a method or protocol must be evident. We welcome contributions covering all aspects of the methods used for Brain-Computer Interfaces: General/Adaptive classifiers. Submissions will be handled by the team of Topic Editors in the respective sections.
This Research Topic welcomes:
• Methods: Describing either new or existing methods that are significantly improved or adapted for specific purposes. These manuscripts may include primary (original) data.
• Protocols: Detailed descriptions, including pitfalls and troubleshooting, to benefit those who may evaluate or employ the techniques. The protocols must be proven to work.
• Perspective or General Commentaries on methods and protocols relevant to physiology research.
• Reviews and mini reviews of topical methods and protocols highlighting the important future directions of the field.
#CollectionSeries
This series aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in Brain-Computer Interface research. Review articles or opinions on methodologies or applications including the advantages and limitations of each are welcome.
This Topic includes technologies and up-to-date methods which help advance science and put Brain-Computer Interfaces into practice. General classifiers for everyone are a challenge for Brain-Computer Interfaces, while adaptive classifiers are currently more flexible and practical. Both are very meaningful for Brain-Computer Interfaces.
The contributions to this collection will undergo peer review. Novelty may vary, but the utility of a method or protocol must be evident. We welcome contributions covering all aspects of the methods used for Brain-Computer Interfaces: General/Adaptive classifiers. Submissions will be handled by the team of Topic Editors in the respective sections.
This Research Topic welcomes:
• Methods: Describing either new or existing methods that are significantly improved or adapted for specific purposes. These manuscripts may include primary (original) data.
• Protocols: Detailed descriptions, including pitfalls and troubleshooting, to benefit those who may evaluate or employ the techniques. The protocols must be proven to work.
• Perspective or General Commentaries on methods and protocols relevant to physiology research.
• Reviews and mini reviews of topical methods and protocols highlighting the important future directions of the field.
#CollectionSeries
Keywords: Methods in, Brain-Computer Interfaces, Adaptive Classifiers, General Classifiers
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.
