Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems

High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice

Gevins, A. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.4.374 · Cited by 1,623

A spelling device for the paralysed

Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., & Flor, H. (1999) · Nature · doi:10.1038/18581 · Cited by 1,577

An EEG-based brain-computer interface for cursor control

Wolpaw, J. R., McFarland, D. J., Neat, G. W., & Forneris, C. A. (1991) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(91)90040-b · Cited by 1,117

Spatial filter selection for EEG-based communication

McFarland, D. J., McCane, L. M., David, S. V., & Wolpaw, J. R. (1997) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(97)00022-2 · Cited by 937

The neurophysiological basis of motor imagery

Decety, J. (1996) · Behavioural Brain Research · doi:10.1016/0166-4328(95)00225-1 · Cited by 842

Direct control of a computer from the human central nervous system

Kennedy, P. R., Bakay, R. A. E., Moore, M. M., Adams, K. D., & Goldwaithe, J. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847815 · Cited by 573

Monitoring Working Memory Load during Computer-Based Tasks with EEG Pattern Recognition Methods

Gevins, A., Smith, M. E., Leong, H., McEvoy, L., Whitfield, S., Du, R., & Rush, G. (1998) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872098779480578 · Cited by 535

Current trends in Graz brain-computer interface (BCI) research

Pfurtscheller, G., Neuper, C., Guger, C., Harkam, W., Ramoser, H., Schlögl, A., Obermaier, B., & Pregenzer, M. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847821 · Cited by 518

Brain-Computer Interface—a new communication device for handicapped persons

Pfurtscheller, G., Flotzinger, D., & Kalcher, J. (1993) · Journal of Microcomputer Applications · doi:10.1006/jmca.1993.1030 · Cited by 502

The thought translation device (TTD) for completely paralyzed patients

Birbaumer, N., Kubler, A., Ghanayim, N., Hinterberger, T., Perelmouter, J., Kaiser, J., Iversen, I., Kotchoubey, B., Neumann, N., & Flor, H. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847812 · Cited by 493

Quantitative analysis of task selection for brain–computer interfaces

Llera, A., Gómez, V., & Kappen, H. J. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/056002 · Cited by 3

Arm flexion and extension exercises using a brain-computer interface and functional electrical stimulation

Tan, H. G., Zhang, H., Wang, C. C., Shee, C. Y., Ang, W. T., & Guan, C. (2008) · International Conference on Biomedical Engineering · Cited by 3

W9 Brain-Computer Interfacing (BCI) in rehabilitation

Stokes, M. J., & James, C. J. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.07.077 · Cited by 3

Introduction

Jindal, M., Bajal, E., & Kazim, A. (2023) · Wiley eBooks · doi:10.1002/9781119857655.ch2 · Cited by 3

Automatic Classification of EEG Signals, Based on Image Interpretation of Spatio-Temporal InformationPreprint

Oxenberg, O., Fire, M., & Alpert, G. F. (2025) · medRxiv · doi:10.1101/2025.02.10.25322019 · Cited by 3

A Dimensionality Reduction Approach for Motor Imagery Brain–Computer Interface Using Functional Clustering and Graph Signal Processing

Khalili, M. D., Abootalebi, V., & Saeedi‐Sourck, H. (2026) · Journal of Medical Signals & Sensors · doi:10.4103/jmss.jmss_88_24 · Cited by 2

Motor Imagery Brain–Computer Interface for RPAS Command and Control

Valdés, R. M. A., Comendador, V. F. G., Perez, L., & Rodriguez, A. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-60366-7_31 · Cited by 2

In Neurofeedback Training, Harder is Not Necessarily Better: The Power of Positive Feedback in Facilitating Brainwave Self-Regulation

Yonah, R. (2023) · NeuroRegulation · doi:10.15540/nr.10.1.31 · Cited by 2

Electrophysiology in disorders of consciousness

Ridha, M., Kumar, A., & Claassen, J. (2025) · Handbook of clinical neurology · doi:10.1016/b978-0-443-13408-1.00013-0 · Cited by 2

Removing Unrelated Features Based on Linear Dynamical System for Motor-Imagery-Based Brain-Computer Interface

Wu, J., Shi, L.-C., & Lu, B. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24955-6_84 · Cited by 2

Characteristics of event-related potentials in response to symbolical and alphabetical stimulation matrices used in a P300-based brain-computer interface

Saltykov, K. A., Bark, E. D., & Koulikov, M. A. (2014) · Human Physiology · doi:10.1134/s0362119714030141 · Cited by 2

Reactive Rhythm Activities and Offline Classification of Imagined Speeds of Finger Movements

Fu, Y., Xu, B., Pei, L., & Li, H. (2011) · International Conference on Bioinformatics and Biomedical Engineering · doi:10.1109/icbbe.2011.5780247 · Cited by 2

EEG features extraction using PCA plus LDA approach based on L1-norm for motor imaginary classification

Gupta, S., & Saini, H. (2014) · IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) · doi:10.1109/iccic.2014.7238424 · Cited by 2

Multi-Objective Binary-PSO for Improving the Performance of P300 Speller

Chaurasiya, R. K., Saraf, A., Sarala, D., Kanikdaley, T., & Jogi, S. (2018) · International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) · doi:10.1109/iot-siu.2018.8519891 · Cited by 2

Selection of Mental Tasks for Brain-Computer Interfaces Using NASA-TLX Index

Moofarry, J. F., Cano, K. A. S., Lozano, D. F. S., & García, J. F. C. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-42520-3_13 · Cited by 2

Development of the Heuristic BCI System with Learning-Type Fuzzy Template Matching Method

Oda, T., & Kudoh, S. N. (2020) · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · doi:10.3156/jsoft.32.3_737 · Cited by 2

Electroencephalography and Brain–Computer Interfaces

Müller-Putz, G., & Wriessnegger, S. C. (2021) · Springer eBooks · doi:10.1007/978-3-030-68545-4_3 · Cited by 4

The Use of Brain Computer Interface (BCI) Combined with Serious Games for Pathological Dependence Treatment

Bonfiglio, N. S., Renati, R., & Pessa, E. (2019) · Contemporary systems thinking · doi:10.1007/978-3-030-15277-2_25 · Cited by 2

Evaluation of Muscular Functional Recovery Based on Concentration and Meditation Levels through the Use of the Computer Brain Interface

Auccahuasi, W., Bernardo, G., Bernardo, M., Flores, E., Sernaqué, F., & Oré, E. (2019) · International Conference on Sensors, Signal and Image Processing (SSIP) · doi:10.1145/3365245.3365250 · Cited by 2

Versatile implementation of a hardware–software architecture for development and testing of brain–computer interfaces

Martinez-Ledezma, J. A., Barrón-Zambrano, J. H., Diaz-Manríquez, A., Elizondo-Leal, J. C., Saldivar-Alonso, V. P., & Rostro‐González, H. (2020) · International Journal of Advanced Robotic Systems · doi:10.1177/1729881420980256 · Cited by 2

The role of simulation in developing and designing applications for 2-class motor imagery brain-computer interfaces

Quek, M. (2013) · Enlighten: Theses (The University of Glasgow) · Cited by 2

Multi-sensory processing in adults: An EEG study of latency and amplitude in the N1 and P2 peaks

Williamson, K. F. (2011) · CU Scholar (University of Colorado Boulder) · Cited by 2

Towards cognitive brain-computer interfaces : real-time monitoring of visual processing and control using electroencephalography

Gaume, A. (2016) · theses.fr (ABES) · doi:10.70675/53cc1893z83e8z4d77za68ez96adfd9528ee · Cited by 2

Recognition of Basic Human Tastes Using EEG Signals

Vo, H., Nguyen, T., & Huynh, T. V. (2025) · IEEJ Transactions on Electrical and Electronic Engineering · doi:10.1002/tee.70093 · Cited by 1

The Lack of Neurofeedback Training Regulation Guidance and Process Evaluation May be a Source of Controversy in Post-Traumatic Stress Disorder–Neurofeedback Research: A Systematic Review and Statistical Analysis

Ding, P., Tan, L., Pan, H., Gong, A., Nan, W., & Fu, Y. (2025) · Brain Connectivity · doi:10.1089/brain.2024.0084 · Cited by 1

How to build a brain–computer interface from beginning to end

Lotte, F., Dreyer, P., Rimbert, S., Trocellier, D., & Welter, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-24824-5.00004-1 · Cited by 1

A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals

Sun, S., & Li, J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03348-3_66 · Cited by 1

Brain-Controlled Selection of Objects Combined with Autonomous Robotic Grasping

Reichert, C., Kennel, M., Kruse, R., Heinze, H., Schmucker, U., Hinrichs, H., & Rieger, J. W. (2015) · Springer series in computational neuroscience · doi:10.1007/978-3-319-15997-3_5 · Cited by 1

Object shape recognition from EEG signals with tactile, visuo-tactile and audio-tactile stimuli

Khasnobish, A., Datta, S., Konar, A., Tibarewala, D. N., & Janarthanan, R. (2014) · International Conference on Communications and Signal Processing (ICCSP) · doi:10.1109/iccsp.2014.6949812 · Cited by 1

Effects of levetiracetam on mu rhythm in persons with epilepsy

Lin, C. K., Ju, M., Chen, C., Hwang, J.-C., & Tsai, J.-J. (2013) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2012.04.028 · Cited by 1

Online cue-based discrimination of left / right hand movement imagination

Akinci, B., & Gençer, N. G. (2010) · National Biomedical Engineering Meeting · doi:10.1109/biyomut.2010.5479773 · Cited by 1

Decoding of movement characteristics for Brain Computer Interfaces application

Gu, Y. (2009) · Cited by 1

On-line Differentiation Of Neuroelectric Activities: Algorithms And applications

Krauledat, M., Blankertz, B., Dornhege, G., Schröder, M., Curio, G., & Müller, K. R. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260929 · Cited by 1

Co-adaptivity in Unsupervised Adaptive Brain-Computer Interfacing: a Simulation Approach

Spüler, M., Rosenstiel, W., & Bogdan, M. (2012) · Cited by 1

Classification of Thoughts into Wheelchair Control Commands using Neural Network

Mohamed, E. A., Yusoff, M. Z., Mahmoud, D., & Malik, A. S. (2016) · International Journal of Sciences: Basic and Applied Research · Cited by 1

Movement-Related Desynchronization in EEG-based Brain-Computer Interface applications for stroke motor rehabilitation

Cisotto, G. (2014) · Padua@research (University of Padova) · Cited by 1

A Novel Feature Fusion and Reprocessing Technique of Brain-Computer Interface for Motion Imagination

Jia, P., Cao, H., Shen, X., & Qiao, S. (2019) · International Conference on Information Science and Technology · doi:10.1109/icist.2019.8836747 · Cited by 1

Creative Music Neurotechnology

Miranda, E. R. (2021) · Springer eBooks · doi:10.1007/978-3-030-72116-9_8 · Cited by 1

Investigation of New Statistical Features for BCI Based Sleep Stages Recognition through EEG Bio-signals

Sefik, I., Elibol, F., İnce, İ. F., & Yengin, İ. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-09330-7_26 · Cited by 1

Prototyping a method for the assessment of real-time EEG sonifications

Steffert, T., Holland, S., Mulholland, P., Dalton, N. S., & Väljamäe, A. (2015) · Open Research Online (The Open University) · Cited by 1

Adjusting Brain Activity with Body Ownership Transfer

Alimardani, M., Nishio, S., & Ishiguro, H. (2018) · Springer eBooks · doi:10.1007/978-981-10-8702-8_23 · Cited by 1

Liquid Metal Enabled Wearable Electronics

Liu, J., & Yi, L. (2018) · Springer series in biomaterials science and engineering · doi:10.1007/978-981-10-5607-9_14 · Cited by 1

Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface

Arvaneh, M., Mihaylova, L. S., & Azab, A. M. (2018) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2018.00193 · Cited by 1

Optimal Control Signal for an EEG Based Casual BCI

Purkayastha, S. S., Jain, V. K., & Sardana, H. K. (2018) · International Journal of Engineering & Technology · doi:10.14419/ijet.v7i3.12.17867 · Cited by 1

A Novel Semantically Congruent Audiovisual Interface for Assisting Brain-Machine Interface (BMI) Performance Enhancement

Kim, S., & Kim, J. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-23522-2_21 · Cited by 1

Personalized EEG Feature Extraction Method Based on Filter Bank and Elastic Network

Wang, J., Zeng, C., & Yao, Y. (2020) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-57115-3_10 · Cited by 1

Development of an Optical Brain-computer Interface Using Dynamic Topographical Pattern Classification

Schudlo, L. C. (2012) · TSpace (University of Toronto) · Cited by 1

Development of a Game with a Purpose for Acquisition of Brain-Computer Interface DataPreprint

Rexwinkle, J. T., Lieberman, G., Jaswa, M., & Lance, B. J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.00106 · Cited by 1

Practical electroencephalography (EEG) applications in stroke rehabilitation: Towards brain-computer interface (BCI) setup and motor function assessment

Zhang, X. (2019) · Summit (Simon Fraser University) · Cited by 1

Enhancement and optimization of a multi-command-based brain-computer interface

Aljshamee, M. (2017) · Ros Dok Rostocker Dokumentenserver (Universitätsbibliothek Rostock) · doi:10.18453/rosdok_id00002388 · Cited by 1

Neurofeedback and the aging brain: a systematic review of training protocols for dementia and mild cognitive impairmentPreprint

Trambaiolli, L. R., Cassani, R., Mehler, D. M. A., & Falk, T. H. (2021) · doi:10.31234/osf.io/a58pv · Cited by 1

Detecção de potenciais evocados P300 para ativação de uma interface cérebro-máquina.

de Godoi, A. C. B. (2010) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.3.2010.tde-19112010-115232

INTERFACES NEURONALES Y SISTEMAS MÁQUINA-CEREBRO: FUNDAMENTOS Y APLICACIONES. REVISIÓN

Quiroz, F. G., Moreno, A. V., & Jaramillo, P. A. C. (2007) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · doi:10.24050/19099762.n1.2007.12

Neural encoding of rigid object-shape perception from visually stimulated EEG signals

Khasnobish, A., Datta, S., Konar, A., & Tibarewala, D. N. (2014) · International Conference on Control, Instrumentation, Energy & Communication · doi:10.1109/ciec.2014.6959067

Adaptive estimation of EEG-rhythms for event classification

Veluvolu, K. C., Tan, H. G., Kavuri, S., Latt, W. T., Shee, C. Y., & Ang, W. T. (2009) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2009.4913175

A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction

Sun, S. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88906-9_41

FUSION METHODS FOR DETECTING NEURAL AND PUPIL RESPONSES TO TASK-RELEVANT VISUAL STIMULI USING COMPUTER PATTERN ANALYSIS

Qian, M. (2008) · DukeSpace (Duke University)

Classification of Electroencephalographic Signals For Brain-Computer Interface

Nordström, R., Tängmark, A., & Björkman, M. (2013)

INTERNATIONAL JOURNA L OF ENGINEERING SCI ENCES & RESEARCH TECHNOLOGY Human Brain to Computer - Communication for disabled with E -

Devi, S., Venkat, T., & Rao, T. V. N. (2013)

Cognitive Assessment and Rehabilitation of subjects with Traumatic Brain Injury

Mangia, A. L. (2015) · AMS Dottorato Institutional Doctoral Theses Repository (University of Bologna) · doi:10.6092/unibo/amsdottorato/7063

Combining CCA and CFP for Enhancing the Performance in the Hybrid BCI System

Ko, L.-W., & Ranga, S. (2015) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci.2015.25

Efficiency analysis of voluntary control of human’s EEG spectral characteristics

Kiroy, V. N., Aslanyan, E. V., Lazurenko, D. M., Minyaeva, N. R., & Бахтин, О. М. (2016) · Journal of Integrative Neuroscience · doi:10.1142/s0219635216500072

Efficient EEG frequency band selection techniques for a robust motor imagery based brain-computer interface

Thomas, K. P. (2011) · doi:10.32657/10356/46231

EEG Analysis for Digit Recognition by Tactile and Vibrotactile Stimulations

Khasnobish, A., Datta, S., Sardar, D., Konar, A., Tibarewala, D. N., & Nagar, A. K. (2014) · doi:10.2316/p.2014.818-032

Brain-Computer Interfaces and Their Application as an Audiovisual Instrument

de Quay, Y., & Beira, J. (2015) · University of Michigan Library Repository

Neuroscience, with a Specialization in Computational Neuroscience

Koerner, A. S. (2013)

Advanced computational intelligence strategies for mental task classification using electroencephalography signals

Chai, R. (2014) · UTS ePRESS (University of Technology Sydney)

A Neurofeedback-Based Near-Infrared Spectroscopy Brain-Computer Interface

Weyand, S. (2015) · TSpace (University of Toronto)

Electromagnetic signals in noninvasive brain-computer interfaces

Kauhanen, L. (2008) · Aaltodoc (Aalto University)

Self-regulating interval type-2 neuro-fuzzy inference system for non-stationary EEG signal processing

Ankit, K. D. (2017) · doi:10.32657/10356/69545

Context-aware recursive bayesian graph traversal in BCIs

Salehi, S. S. M., Moghadamfalahi, M., Nezamfar, H., Haghighi, M., & Deniz Erdogmus, B. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037481

Physiologically-mediated Interaction between Children with Profound Disabilities and Their Environment

Blain, S. (2010) · TSpace (University of Toronto)

A Brain Computer Interface Using VEP and MMSC for Driving a Mechanical Arm

Júnior, M. A. A., Cimini, C. A., Barroso, M. F. S., & Félix, L. B. (2017) · Communications in computer and information science · doi:10.1007/978-3-319-71011-2_11

Análisis, decodificación y clasificación de la señal EEG en entornos tridimensionales

Egea, T. G. (2015) · doi:10.31428/10317/7231

Improving Motor Imagery Based Brain Computer Interfaces Using A Novel Physical Feedback TechniquePreprint

Haroun, M., & Salah, M. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1805.08658

Development of a More Robust Near-Infrared Spectroscopy Brain Computer Interface: Single-Trial Classification of Near-Infrared Spectroscopy Signals Arising from Multiple Cortical Regions

Schudlo, L. C. (2017) · TSpace (University of Toronto)

Structural properties of brain functional network during Schulte table solving

Protasov, P., Makarov, V. V., Zhuravlev, M. О., & Евгеньевна, Р. А. (2019) · Saratov Fall Meeting: Computations and Data Analysis: from Nanoscale Tools to Brain Functions (SFM) · doi:10.1117/12.2527708

A study of password recall, perceived memorability, and strength using BCIs

Alomari, R. (2018) · e-scholar@UOIT (University of Ontario Institute of Technology)

Context-Aware Recursive Bayesian Graph Traversal in BCIsPreprint

Salehi, S. S. M., Moghadamfalahi, M., Nezamfar, H., Haghighi, M., & Deniz Erdogmus, B. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1703.02938

DETECÇÃO DE POTENCIAIS EVOCADOS P300 PARA ATIVAÇÃO DE UMA INTERFACE CÉREBRO-MÁQUINA

Paulo, S. (2010)

Detecting passive fatigue with brain-computer interface in drowsy driving and stroke rehabilitation

Foong, R. (2019) · doi:10.32657/10356/107596

A Novel Performance Metric for Multiclass Subject Invariant Brain Computer Interfaces with Imbalanced ClassesPreprint

Sherwood, J., Lowe, J., & Derakhshani, R. R. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.07.938548

Classification of hand-related real and imaginary motor activity with fNIRS

Hramov, A. E., Grubov, V., & Badarin, A. (2020) · Scientific School Dynamics of Complex Networks and their Applications (DCNA) · doi:10.1109/dcnair50402.2020.9216914

Current brain activity is a predictor of longitudinal motor imagery performance

Trambaiolli, L. R., Dean, P. J. A., Cravo, A. M., Sterr, A., & Sato, J. R. (2020) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc42975.2020.9283433

Human Interactive EEG-Based Evolutionary Image Animation

Neumann, A., & Neumann, F. (2020) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci47803.2020.9308547

Detecção e análise de sinais EEG com aplicação em robótica educacional

Pinto, A. H. M. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.55.2020.tde-18032020-095758

Utilizing Machine Learning and Virtual Reality to Facilitate Brain-computer Interface Control

Reyhani-Masoleh, B. (2019) · TSpace (University of Toronto)

Towards Context-aware Brain-computer Interfaces

Myrden, A. (2016) · TSpace (University of Toronto)

Effects of Interpretation Error on User Learning in Novel Input Mechanisms

Lam, K. C. (2021) · HARVEST (University of Saskatchewan)

Weighted Conditional Distribution Adaptation for Motor Imagery Classification

Zhang, R., Gu, F., Zou, Z., Yu, T., & Li, Y. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87355-4_42

A review on psychophysiological measures of human cognitive states applied in human computer interaction

Mishra, V. K. (2021) · Asian Journal of Research in Social Sciences and Humanities · doi:10.5958/2249-7315.2021.00334.8

Bibliography

(2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801543-8.00019-3

Extrasensory perception

Badgaiyan, R. D. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816115-9.00010-3

ADVANCES TOWARDS AN ACTUATED ORTHOSIS FOR THE REHABILITATION OF THE MOTOR FUNCTION OF THE HAND

Alonso, D. R. (2017) · doi:10.17771/pucrio.acad.33377

The Implementation Method of Battlefield Situational Awareness System Based on Human Brain Perception Mechanism

Ke, Y. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-05484-6_40

Cognitive-Visual Fusion for Target Classification in Rapid SAR Image Series Visual Presentation

Zhou, W., Li, Z., Wan, X., Zhang, R., Qu, L., Li, Z., & Yin, K. (2021) · CIE International Conference on Radar (RADAR) · doi:10.1109/radar53847.2021.10028324

Toward Neurotechnology for Musical Creativity

Miranda, E. R. (2023) · The MIT Press eBooks · doi:10.7551/mitpress/14186.003.0019

Eğricik Dönüşümü Ayrıştırması Kullanılarak İki Sınıflı Motor Görüntüsü EEG Sinyallerinin Sınıflandırılması

Gedik, N. (2023) · Afyon Kocatepe Üniversitesi Uluslararası Mühendislik Teknolojileri ve Uygulamalı Bilimler Dergisi · doi:10.53448/akuumubd.1183726

The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke

Gäumann, S., Aksöz, E. A., Behrendt, F., Wandel, J., Cappelletti, L., Krug, A., Mörder, D., Bill, A., Parmar, K., Gerth, H. U., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1225440

Mental Tasks for Controlling Cursor Movements in a Brain Computer InterfacePreprint

Sakkaff, Z., Freiburger, A., Henry, C. S., & Nanayakkara, A. (2023) · medRxiv · doi:10.1101/2023.08.29.23294785

EEG pattern differences in motor imagery based control tasks used for brain-computer interfacing: From training sessions to online control

Alonso-Valerdi, L. M., & Sepulveda, F. (2018) · Open Access at Essex (University of Essex) · Cited by 1

New set of cognitive tasks in EEG based Brain Computer Interface

Sakkaff, Z., & Nanayakkara, A. (2010) · International Conference on Information and Automation for Sustainability (ICIAfS) · doi:10.1109/iciafs.2010.5715637 · Cited by 2

Cognitive tasks for driving a brain-computer interfacing system: a pilot study

Curran, E., Sykacek, P., Stokes, M. J., Roberts, S., Penny, W. D., Johnsrude, I. S., & Owen, A. M. (2004) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2003.821372 · Cited by 130

Towards a brain-computer interface controlled by intrinsic brain activations

Kanoh, S. (2012) · Society of Instrument and Control Engineers of Japan

Brain Computer Interfaces for communication and control

Fabio, B. (1900) · Frontiers in Neuroscience · doi:10.3389/conf.fnins.2010.05.00007 · Cited by 11