Frontiers in Human Neuroscience | Brain-Computer Interfaces

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Journal notices

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Meet us at SfN Annual Meeting 2025, San Diego from Nov 15-19

Frontiers in Human Neuroscience team will be exhibiting at the Society for Neuroscience. We look forward to seeing you at Booth 428.

Editors’ Highlights: Human Neuroscience 2024

Celebrate the best of human neuroscience. Explore our concise e-book of standout studies shaping the field.

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Brain-Computer Interfaces

Submit your research

Author guidelines

Editor guidelines

Peer review

Publishing fees

Journal notices

Meet us at SfN Annual Meeting 2025, San Diego from Nov 15-19

Editors’ Highlights: Human Neuroscience 2024

Submit your article to one of our Research Topics

Join our community

Get your conference sponsored: Edit a Research Topic aligned with your conference theme

Editors

gernot r müller-putz

jinung an

george alexandrakis

kai keng ang

Articles

Deep Learning Approaches for Diagnosing Seizure Based on EEG Signal Analysis

Deep learning for inner speech recognition: a pilot comparative study of EEGNet and a spectro-temporal Transformer on bimodal EEG-fMRI data

DeepAttNet: Deep Neural Network Incorporating Cross-Attention Mechanism for Subject-Independent Mental Stress Detection in Passive Brain-Computer Interfaces Using Bilateral Ear-EEG

Using vision transformers for electrographic seizure classification to aid physician review of intracranial electroencephalography recordings

Research Topics

Pride in Frontiers in Human Neuroscience Volume II

Methods in brain-computer interfaces 2025, Volume II

Sensorimotor decoding: characterization and modeling for rehabilitation and assistive technologies: Volume III

Deep learning in brain-computer interfaces