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

1,581 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

2,032 views
2 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

2,343 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

1,721 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

1,946 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

2,763 views

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

3,199 views

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

5,648 views
1 citation

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

2,533 views
3 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

2,411 views
4 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

2,502 views

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

980 views

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

4,496 views
2 citations

Editorial

Published on 21 Feb 2024

Editorial: Immersive technology and ambient intelligence for assistive living, medical, and healthcare solutions

in Brain-Computer Interfaces

Omneya Attallah
Ahmad Al-Kabbany
Shaza B. Zaghlool
Mohamed Kholief

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1376959

1,812 views

Original Research

Published on 20 Feb 2024

AFM signal model for dysarthric speech classification using speech biomarkers

in Brain-Computer Interfaces

Shaik Mulla Shabber
Eratt Parameswaran Sumesh

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1346297

2,530 views
2 citations

Original Research

Published on 16 Feb 2024

Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface

in Brain-Computer Interfaces

Haroon Khan
Rabindra Khadka
Malik Shahid Sultan
Anis Yazidi
Hernando Ombao
Peyman Mirtaheri

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1354143

2,588 views

Navigation group

Articles

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

Editorial: Immersive technology and ambient intelligence for assistive living, medical, and healthcare solutions

AFM signal model for dysarthric speech classification using speech biomarkers

Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface