Frontiers in Human Neuroscience | Brain-Computer Interfaces

Original Research

Published on 22 May 2024

Two-stage sparse multi-objective evolutionary algorithm for channel selection optimization in BCIs

in Brain-Computer Interfaces

Tianyu Liu
Yu Wu
An Ye
Lei Cao
Yongnian Cao

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1400077

873 views
1 citation

Original Research

Published on 17 May 2024

Decoding imagined speech with delay differential analysis

in Brain-Computer Interfaces

Vinícius Rezende Carvalho
Eduardo Mazoni Andrade Marçal Mendes
Aria Fallah
Terrence J. Sejnowski
Lindy Comstock
Claudia Lainscsek

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1398065

1,838 views
1 citation

Original Research

Published on 02 May 2024

PSAEEGNet: pyramid squeeze attention mechanism-based CNN for single-trial EEG classification in RSVP task

in Brain-Computer Interfaces

Zijian Yuan
Qian Zhou
Baozeng Wang
Qi Zhang
Yang Yang
Yuwei Zhao
Yong Guo
Jin Zhou
Changyong Wang

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1385360

1,310 views

Correction

Published on 29 Apr 2024

Corrigendum: Building an open source classifier for the neonatal EEG background: a systematic feature-based approach from expert scoring to clinical visualization

in Brain-Computer Interfaces

Saeed Montazeri
Elana Pinchefsky
Ilse Tse
Viviana Marchi
Jukka Kohonen
Minna Kauppila
Manu Airaksinen
Karoliina Tapani
Päivi Nevalainen
Cecil Hahn

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1417744

623 views

Perspective

Published on 11 Apr 2024

Brain-computer interfaces and human factors: the role of language and cultural differences—Still a missing gap?

in Brain-Computer Interfaces

Cornelia Herbert

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1305445

2,174 views

Original Research

Published on 10 Apr 2024

A pilot study on AI-driven approaches for classification of mental health disorders

in Brain-Computer Interfaces

Naman Dhariwal
Nidhi Sengupta
M. Madiajagan
Kiran Kumar Patro
P. Lalitha Kumari
Nagwan Abdel Samee
Ryszard Tadeusiewicz
Paweł Pławiak
Allam Jaya Prakash

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1376338

4,236 views
4 citations

Brief Research Report

Published on 10 Apr 2024

Gabor filter-based statistical features for ADHD detection

in Brain-Computer Interfaces

E. Sathiya
T. D. Rao
T. Sunil Kumar

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1369862

1,473 views
2 citations

Original Research

Published on 09 Apr 2024

Self supervised learning based emotion recognition using physiological signals

in Brain-Computer Interfaces

Min Zhang
YanLi Cui

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1334721

1,706 views
1 citation

Original Research

Published on 05 Apr 2024

Inconclusive results of slow cortical potential neurofeedback for the treatment of chronic post-stroke attention deficits

in Brain-Computer Interfaces

Sonja C. Kleih
Loic Botrel

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1301622

1,118 views

Original Research

Published on 05 Apr 2024

Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography

in Brain-Computer Interfaces

Ioanna Anastasopoulou
Douglas Owen Cheyne
Pascal van Lieshout
Blake Warren Johnson

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1305058

1,712 views
2 citations

Original Research

Published on 04 Apr 2024

Machine learning algorithms for detection of visuomotor neural control differences in individuals with PASC and ME

in Brain-Computer Interfaces

Harit Ahuja
Smriti Badhwar
Heather Edgell
Marin Litoiu
Lauren E. Sergio

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1359162

1,806 views

Original Research

Published on 28 Mar 2024

Music emotion recognition based on temporal convolutional attention network using EEG

in Brain-Computer Interfaces

Yinghao Qiao
Jiajia Mu
Jialan Xie
Binghui Hu
Guangyuan Liu

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1324897

2,583 views
3 citations

Review

Published on 27 Mar 2024

Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces

in Brain-Computer Interfaces

Yanxiao Chen
Fan Wang
Tianwen Li
Lei Zhao
Anmin Gong
Wenya Nan
Peng Ding
Yunfa Fu

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1391550

3,151 views
3 citations

Original Research

Published on 25 Mar 2024

Adaptation and learning as strategies to maximize reward in neurofeedback tasks

in Brain-Computer Interfaces

Rodrigo Osuna-Orozco
Yi Zhao
Hannah Marie Stealey
Hung-Yun Lu
Enrique Contreras-Hernandez
Samantha Rose Santacruz

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1368115

1,929 views

Original Research

Published on 22 Mar 2024

Magilock: a reliable control triggering method in multi-channel eye-control systems

in Brain-Computer Interfaces

Niu Ya-Feng
He Jia-Xin
Liu Jin

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1365838

2,203 views
1 citation

Data Report

Published on 21 Mar 2024

fNIRS dataset during complex scene analysis

in Brain-Computer Interfaces

Matthew Ning
Sudan Duwadi
Meryem A. Yücel
Alexander von Lühmann
David A. Boas
Kamal Sen

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1329086

3,250 views

Navigation group

Articles

Two-stage sparse multi-objective evolutionary algorithm for channel selection optimization in BCIs

Decoding imagined speech with delay differential analysis

PSAEEGNet: pyramid squeeze attention mechanism-based CNN for single-trial EEG classification in RSVP task

Corrigendum: Building an open source classifier for the neonatal EEG background: a systematic feature-based approach from expert scoring to clinical visualization

Brain-computer interfaces and human factors: the role of language and cultural differences—Still a missing gap?

A pilot study on AI-driven approaches for classification of mental health disorders

Gabor filter-based statistical features for ADHD detection

Self supervised learning based emotion recognition using physiological signals

Inconclusive results of slow cortical potential neurofeedback for the treatment of chronic post-stroke attention deficits

Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography

Machine learning algorithms for detection of visuomotor neural control differences in individuals with PASC and ME

Music emotion recognition based on temporal convolutional attention network using EEG

Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces

Adaptation and learning as strategies to maximize reward in neurofeedback tasks

Magilock: a reliable control triggering method in multi-channel eye-control systems

fNIRS dataset during complex scene analysis