Research Topic

Neurotechnologies for Human Augmentation

About this Research Topic

Neurotechnologies combine neuroscience and engineering to build tools for studying, repairing, and enhancing brain function. Traditionally, researchers have used neurotechnologies, such as Brain-Computer Interfaces (BCIs), as assistive devices, for example to allow locked-in patients to communicate. In the last few decades, brain imaging devices, such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), have become more portable and inexpensive, paving the way to innovative applications of neurotechnologies.

Recent trends in neuroergonomics and neural engineering have used neurotechnologies to enhance various human capabilities, including (but not limited to) communication, emotion, perception, memory, attention, situation awareness, problem-solving, and decision making. Closed-loop neurotechnologies have been developed to automatically adapt their behaviors to the current brain state of the user. Transcranial direct-current stimulators have been used to make operators last longer on repetitive and/or mentally-challenging tasks.

This Research Topic calls for submissions that describe novel research in the area of developing neurotechnologies to enhance human capabilities, highlighting new results and applications of established neurotechnologies, as well as welcoming the description of novel neurotechnologies. Submissions can be of any article type.

This is an exciting moment for neurotechnologies. This Research Topic will serve the research community and the general public as a container of recent high-quality research in the area of human augmentation through neurotechnologies. We look forward to receiving your contributions.

The cover picture of this research topic was created by Eleonora Adami, PhD, scientific illustrator and postdoctoral fellow at Duke-NUS (www.brushandpipette.com).


Keywords: neuroergonomics, brain-computer interfaces, machine-learning, enhancement, EEG, fNIRS, tDCS, tACS, closed-loop


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.

Neurotechnologies combine neuroscience and engineering to build tools for studying, repairing, and enhancing brain function. Traditionally, researchers have used neurotechnologies, such as Brain-Computer Interfaces (BCIs), as assistive devices, for example to allow locked-in patients to communicate. In the last few decades, brain imaging devices, such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), have become more portable and inexpensive, paving the way to innovative applications of neurotechnologies.

Recent trends in neuroergonomics and neural engineering have used neurotechnologies to enhance various human capabilities, including (but not limited to) communication, emotion, perception, memory, attention, situation awareness, problem-solving, and decision making. Closed-loop neurotechnologies have been developed to automatically adapt their behaviors to the current brain state of the user. Transcranial direct-current stimulators have been used to make operators last longer on repetitive and/or mentally-challenging tasks.

This Research Topic calls for submissions that describe novel research in the area of developing neurotechnologies to enhance human capabilities, highlighting new results and applications of established neurotechnologies, as well as welcoming the description of novel neurotechnologies. Submissions can be of any article type.

This is an exciting moment for neurotechnologies. This Research Topic will serve the research community and the general public as a container of recent high-quality research in the area of human augmentation through neurotechnologies. We look forward to receiving your contributions.

The cover picture of this research topic was created by Eleonora Adami, PhD, scientific illustrator and postdoctoral fellow at Duke-NUS (www.brushandpipette.com).


Keywords: neuroergonomics, brain-computer interfaces, machine-learning, enhancement, EEG, fNIRS, tDCS, tACS, closed-loop


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.

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Submission Deadlines

19 December 2019 Abstract
30 June 2020 Manuscript

Participating Journals

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

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Topic Editors

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Submission Deadlines

19 December 2019 Abstract
30 June 2020 Manuscript

Participating Journals

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

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