This Research Topic is part of the Methods and Applications in Brain-Computer Interfaces series.
This series aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in neuroscience research from molecular to organ and integrative functions in living organisms. 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.
Methods and Applications in Brain-Computer Interfaces (BCIs) welcomes contributions on new or established methods and protocols on the use of neural decoding for external device control. This Research Topic aims to collect new evidence and perspectives in the field of BCI that ranges from use in healthy populations to clinical settings. The specific target will encompass innovations in neural signal acquisition techniques, BCI task and paradigm optimization, improved classification schemes, the use of intelligent control, and more. Reviews (systematic, narrative, or scoping), methods manuscripts, and original research works are welcome, especially those addressing BCI illiteracy, the expansion of control dimensions and translation to daily use (neurorobotics, internet of things, etc.). Contributions utilizing neural recording modalities such as EEG, MEG, fNIRS, fMRI, and control signal types such as sensorimotor rhythms, slow cortical potentials, steady-state visual evoked potentials, and the P300 response are welcome.
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 for physiology research.
• Reviews and mini-reviews of topical methods and protocols highlighting the important future directions of the field.
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 Neuroscience. Submissions will be handled by the team of Topic Editors in the respective sections. Frontiers in Human Neuroscience supports the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management and stewardship (Wilkinson et al., Sci. Data 3:160018, 2016).
This Research Topic is part of the Methods and Applications in Brain-Computer Interfaces series.
This series aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in neuroscience research from molecular to organ and integrative functions in living organisms. 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.
Methods and Applications in Brain-Computer Interfaces (BCIs) welcomes contributions on new or established methods and protocols on the use of neural decoding for external device control. This Research Topic aims to collect new evidence and perspectives in the field of BCI that ranges from use in healthy populations to clinical settings. The specific target will encompass innovations in neural signal acquisition techniques, BCI task and paradigm optimization, improved classification schemes, the use of intelligent control, and more. Reviews (systematic, narrative, or scoping), methods manuscripts, and original research works are welcome, especially those addressing BCI illiteracy, the expansion of control dimensions and translation to daily use (neurorobotics, internet of things, etc.). Contributions utilizing neural recording modalities such as EEG, MEG, fNIRS, fMRI, and control signal types such as sensorimotor rhythms, slow cortical potentials, steady-state visual evoked potentials, and the P300 response are welcome.
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 for physiology research.
• Reviews and mini-reviews of topical methods and protocols highlighting the important future directions of the field.
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 Neuroscience. Submissions will be handled by the team of Topic Editors in the respective sections. Frontiers in Human Neuroscience supports the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management and stewardship (Wilkinson et al., Sci. Data 3:160018, 2016).
