Frontiers in Human Neuroscience | Brain-Computer Interfaces

Original Research

Published on 30 May 2024

Consistent spectro-spatial features of human ECoG successfully decode naturalistic behavioral states

in Brain-Computer Interfaces

Abdulwahab Alasfour
Vikash Gilja

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1388267

2,393 views
4 citations

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

2,099 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

4,982 views
9 citations

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

2,974 views
6 citations

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

1,219 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

5,075 views
8 citations

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

8,155 views
18 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

2,905 views
5 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

4,371 views
9 citations

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

2,600 views
4 citations

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

2,275 views
3 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

3,278 views
2 citations

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

6,227 views
12 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

9,447 views
8 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

3,110 views
4 citations

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

3,554 views
4 citations

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

6,054 views
4 citations

Technology and Code

Published on 13 Mar 2024

The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG

in Brain-Computer Interfaces

Gianvittorio Luria
Alessandro Viani
Annalisa Pascarella
Harald Bornfleth
Sara Sommariva
Alberto Sorrentino

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1359753

4,491 views
3 citations

Original Research

Published on 13 Mar 2024

Real-time EEG-based emotion recognition for neurohumanities: perspectives from principal component analysis and tree-based algorithms

in Brain-Computer Interfaces

Miguel Alejandro Blanco-Ríos
Milton Osiel Candela-Leal
Cecilia Orozco-Romo
Paulina Remis-Serna
Carol Stefany Vélez-Saboyá
Jorge de Jesús Lozoya-Santos
Manuel Cebral-Loureda
Mauricio Adolfo Ramírez-Moreno

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1319574

10,709 views
17 citations

Original Research

Published on 12 Mar 2024

Global sensitivity of EEG source analysis to tissue conductivity uncertainties

in Brain-Computer Interfaces

Johannes Vorwerk
Carsten H. Wolters
Daniel Baumgarten

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1335212

4,554 views
15 citations

Original Research

Published on 05 Mar 2024

EEG-based finger movement classification with intrinsic time-scale decomposition

in Brain-Computer Interfaces

Murside Degirmenci
Yilmaz Kemal Yuce
Matjaž Perc
Yalcin Isler

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1362135

5,258 views
20 citations

Technology and Code

Published on 04 Mar 2024

A toolbox for decoding BCI commands based on event-related potentials

in Brain-Computer Interfaces

Christoph Reichert
Catherine M. Sweeney-Reed
Hermann Hinrichs
Stefan Dürschmid

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1358809

4,302 views
1 citation

Original Research

Published on 29 Feb 2024

Lattice layout and optimizer effect analysis for generating optimal transcranial electrical stimulation (tES) montages through the metaheuristic L1L1 method

in Brain-Computer Interfaces

Fernando Galaz Prieto
Maryam Samavaki
Sampsa Pursiainen

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1201574

2,061 views
1 citation

Brief Research Report

Published on 26 Feb 2024

A method for synchronized use of EEG and eye tracking in fully immersive VR

in Brain-Computer Interfaces

Olav F. P. Larsen
William G. Tresselt
Emanuel A. Lorenz
Tomas Holt
Grethe Sandstrak
Tor I. Hansen
Xiaomeng Su
Alexander Holt

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1347974

11,645 views
15 citations

508 articles

articles

Consistent spectro-spatial features of human ECoG successfully decode naturalistic behavioral states

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

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

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

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

The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG

Real-time EEG-based emotion recognition for neurohumanities: perspectives from principal component analysis and tree-based algorithms

Global sensitivity of EEG source analysis to tissue conductivity uncertainties

EEG-based finger movement classification with intrinsic time-scale decomposition

A toolbox for decoding BCI commands based on event-related potentials

Lattice layout and optimizer effect analysis for generating optimal transcranial electrical stimulation (tES) montages through the metaheuristic L1L1 method

A method for synchronized use of EEG and eye tracking in fully immersive VR