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

2,326 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

1,708 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

1,931 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

2,751 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

3,189 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

5,619 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

2,517 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

2,389 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

2,485 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

978 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

4,460 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

1,807 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

2,524 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

2,577 views

Review

Published on 16 Feb 2024

Analyzing and computing humans by means of the brain using Brain-Computer Interfaces - understanding the user – previous evidence, self-relevance and the user’s self-concept as potential superordinate human factors of relevance

in Brain-Computer Interfaces

Cornelia Herbert

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2023.1286895

2,173 views
4 citations

Systematic Review

Published on 14 Feb 2024

A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning

in Brain-Computer Interfaces

Jagdeep Rahul
Diksha Sharma
Lakhan Dev Sharma
Umakanta Nanda
Achintya Kumar Sarkar

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1347082

4,800 views
3 citations

Navigation group

Articles

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

Analyzing and computing humans by means of the brain using Brain-Computer Interfaces - understanding the user – previous evidence, self-relevance and the user’s self-concept as potential superordinate human factors of relevance

A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning