Frontiers in Human Neuroscience | Brain-Computer Interfaces

Guidelines

Confident young woman gesturing while teaching students in class

Submit your research

Start your submission and get more impact for your research by publishing with us.

Active senior woman concentrating while working on laptop

Author guidelines

Ready to publish? Check out our author guidelines for everything you need to know about submission, from choosing a journal and section to preparing your manuscript.

Front view portrait of African American man wearing lab coat and raising hand asking question while sitting in audience and listening to lecture on medicine

Editor guidelines

Reviewing a manuscript? See our editorial guidelines for everything you need to know about Frontiers’ peer review process.

Smiling colleagues doing research over laptop computer on desk in office

Peer review

Our efficient and rigorous peer review means you’ll get a decision on your manuscript in just 77 days.

Interior of a library with desks and bookshelves

Publishing fees

Article processing charges (APCs) apply to articles that are accepted for publication by our external editors, following rigorous peer review.

Editors

See all

gernot r müller-putz

Graz University of Technology

Graz, Austria

Specialty Chief Editor

Brain-Computer Interfaces
jinung an

Daegu Gyeongbuk Institute of Science and Technology (DGIST)

Daegu, Republic of Korea

Associate Editor

Brain-Computer Interfaces
george alexandrakis

University of Texas at Arlington

Arlington, United States

Associate Editor

Brain-Computer Interfaces
kai keng ang

Institute for Infocomm Research (A*STAR)

Singapore, Singapore

Associate Editor

Brain-Computer Interfaces

Navigation group

Brain-Computer Interfaces

Guidelines

Submit your research

Author guidelines

Editor guidelines

Peer review

Publishing fees

Editors

gernot r müller-putz

jinung an

george alexandrakis

kai keng ang

Articles

Editorial: The role of code-modulated evoked potentials in next-generation brain-computer interfacing

Neural Signal Analysis in Chronic Stroke: Advancing Intracortical Brain-Computer Interface Design

Editorial: AI and Machine Learning Application for Neurological Disorders and Diagnosis

Error-related potentials during multitasking involving sensorimotor control: an ERP and offline decoding study for brain-computer interface

Research Topics

Brain-Computer Interfaces (BCIs) for daily activities: Innovations in EEG signal analysis and machine learning approaches

Clinically meaningful applications and evaluations of brain-computer interfaces

Brain-computer interface challenges and solutions for communication and cognitive-linguistic development or assessment

Non invasive BCI for communication