Braincomputer Interface Bci | List of Frontiers open access articles

Technology Report

Published on 27 Mar 2019

Brain–Computer Interface (BCI) Applications in Mapping of Epileptic Brain Networks Based on Intracranial-EEG: An Update

in Neural Technology

Rafeed Alkawadri

Frontiers in Neuroscience

doi 10.3389/fnins.2019.00191

25,310 views
50 citations

Review

Published on 22 Jul 2022

2020 International brain–computer interface competition: A review

in Brain-Computer Interfaces

Ji-Hoon Jeong
Jeong-Hyun Cho
Young-Eun Lee
Seo-Hyun Lee
Gi-Hwan Shin
Young-Seok Kweon
José del R. Millán
Klaus-Robert Müller
Seong-Whan Lee

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2022.898300

21,114 views
40 citations

Original Research

Published on 09 Apr 2025

Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning

Zhibin Jiang
Keli Hu
Jia Qu
Zekang Bian
Donghua Yu
Jie Zhou

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1559335

2,313 views

Methods

Published on 26 Apr 2019

Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain–Computer Interface

Miaoji Guo
Jing Jin
Yong Jiao
Xingyu Wang
Andrzej Cichockia

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2019.00024

8,659 views
17 citations

Mini Review

Published on 07 Nov 2025

Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms

Lingli Gan
Shuqin Yuan
Min Guo
Qian Wang
Zongfang Deng
Bin Jia

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1691017

1,681 views
1 citation

Original Research

Published on 20 May 2022

Deep Residual Convolutional Neural Networks for Brain–Computer Interface to Visualize Neural Processing of Hand Movements in the Human Brain

Yosuke Fujiwara
Junichi Ushiba

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.882290

5,891 views
10 citations

Original Research

Published on 11 Feb 2026

Singular spectrum analysis of near-infrared spectroscopy signal classification for mental arithmetic and rest state

in Biomedical Signal Processing

Kanwardeep Singh Gahlot
Anukul Pandey
Sachin Taran
Rahul Thakur

Frontiers in Signal Processing

doi 10.3389/frsip.2025.1715540

362 views

Original Research

Published on 27 Feb 2025

Effect of natural and synthetic noise data augmentation on physical action classification by brain–computer interface and deep learning

Yuri Gordienko
Nikita Gordienko
Vladyslav Taran
Anis Rojbi
Sergii Telenyk
Sergii Stirenko

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1521805

4,416 views
4 citations

Original Research

Published on 13 Aug 2021

Effects of Frontal Theta Rhythms in a Prior Resting State on the Subsequent Motor Imagery Brain-Computer Interface Performance

in Neuroprosthetics

Jae-Hwan Kang
Joosang Youn
Sung-Hee Kim
Junsuk Kim

Frontiers in Neuroscience

doi 10.3389/fnins.2021.663101

4,184 views
12 citations

Original Research

Published on 03 Nov 2025

DeepAttNet: deep neural network incorporating cross-attention mechanism for subject-independent mental stress detection in passive brain–computer interfaces using bilateral ear-EEG

in Brain-Computer Interfaces

Wooseok Hyung
Minsu Kim
Yesung Kim
Chang-Hwan Im

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2025.1685087

2,161 views
1 citation

Methods

Published on 31 Aug 2022

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM

Nabeeha Ehsan Mughal
Muhammad Jawad Khan
Khurram Khalil
Kashif Javed
Hasan Sajid
Noman Naseer
Usman Ghafoor
Keum-Shik Hong

Frontiers in Neurorobotics

doi 10.3389/fnbot.2022.873239

10,784 views
44 citations

Original Research

Published on 08 May 2018

Enhancing Performance and Bit Rates in a Brain–Computer Interface System With Phase-to-Amplitude Cross-Frequency Coupling: Evidences From Traditional c-VEP, Fast c-VEP, and SSVEP Designs

Stavros I. Dimitriadis
Avraam D. Marimpis

Frontiers in Neuroinformatics

doi 10.3389/fninf.2018.00019

6,234 views
10 citations

Original Research

Published on 25 Jul 2019

Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain–Computer Interfaces

in Brain-Computer Interfaces

Mikito Ogino
Suguru Kanoga
Masatane Muto
Yasue Mitsukura

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2019.00250

13,819 views
38 citations

Articles

Brain–Computer Interface (BCI) Applications in Mapping of Epileptic Brain Networks Based on Intracranial-EEG: An Update

2020 International brain–computer interface competition: A review

Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning

Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain–Computer Interface

Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms

Deep Residual Convolutional Neural Networks for Brain–Computer Interface to Visualize Neural Processing of Hand Movements in the Human Brain

Singular spectrum analysis of near-infrared spectroscopy signal classification for mental arithmetic and rest state

Effect of natural and synthetic noise data augmentation on physical action classification by brain–computer interface and deep learning

Effects of Frontal Theta Rhythms in a Prior Resting State on the Subsequent Motor Imagery Brain-Computer Interface Performance

DeepAttNet: deep neural network incorporating cross-attention mechanism for subject-independent mental stress detection in passive brain–computer interfaces using bilateral ear-EEG

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM

Enhancing Performance and Bit Rates in a Brain–Computer Interface System With Phase-to-Amplitude Cross-Frequency Coupling: Evidences From Traditional c-VEP, Fast c-VEP, and SSVEP Designs

Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain–Computer Interfaces