Brain–computer interface systems: progress and prospects
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Jonathan R Wolpaw | Elizabeth Winter Wolpaw | Brendan Z Allison | J. Wolpaw | E. Wolpaw | B. Allison
[1] Brendan Z Allison,et al. Effects of SOA and flash pattern manipulations on ERPs, performance, and preference: implications for a BCI system. , 2006, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[2] G. Pfurtscheller,et al. Brain-computer interfaces for control of neuroprostheses: from synchronous to asynchronous mode of operation. , 2006, Biomedizinische Technik. Biomedical engineering.
[3] S P Levine,et al. A direct brain interface based on event-related potentials. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[4] Gabriel Curio,et al. Brain-computer communication and slow cortical potentials , 2004, IEEE Transactions on Biomedical Engineering.
[5] Cuntai Guan,et al. Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain–computer interface , 2007, NeuroImage.
[6] Rui Escadas Martins,et al. A Novel Dry Active Electrode for EEG Recording , 2007, IEEE Transactions on Biomedical Engineering.
[7] J. Wolpaw,et al. A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance , 2006, Biological Psychology.
[8] G. Pfurtscheller,et al. EEG-based communication: presence of an error potential , 2000, Clinical Neurophysiology.
[9] K.-R. Muller,et al. The Berlin brain-computer interface: EEG-based communication without subject training , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[10] John R. Smith,et al. Steady-State VEP-Based Brain-Computer Interface Control in an Immersive 3D Gaming Environment , 2005, EURASIP J. Adv. Signal Process..
[11] Miguel A. L. Nicolelis,et al. Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex , 1999, Nature Neuroscience.
[12] J. Wolpaw,et al. Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface , 2005, Neurology.
[13] B.Z. Allison,et al. ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[14] Dawn M. Taylor,et al. Direct Cortical Control of 3D Neuroprosthetic Devices , 2002, Science.
[15] D J McFarland,et al. An EEG-based brain-computer interface for cursor control. , 1991, Electroencephalography and clinical neurophysiology.
[16] Shirley Coyle,et al. On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces. , 2004, Physiological measurement.
[17] David M. Santucci,et al. Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates , 2003, PLoS biology.
[18] M. Woldorff,et al. Attentional capacity for processing concurrent stimuli is larger across sensory modalities than within a modality. , 2006, Psychophysiology.
[19] D. Levendowski,et al. Description and validation of the apnea risk evaluation system: a novel method to diagnose sleep apnea-hypopnea in the home. , 2005, Chest.
[20] Mirjana B Popović,et al. Control of neural prostheses for grasping and reaching. , 2003, Medical engineering & physics.
[21] N. Birbaumer,et al. Self-initiation of EEG-based communication in paralyzed patients , 2001, Clinical Neurophysiology.
[22] G.F. Inbar,et al. An improved P300-based brain-computer interface , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[23] G. Pfurtscheller,et al. The BCI competition III: validating alternative approaches to actual BCI problems , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[24] B. Dobkin. Brain–computer interface technology as a tool to augment plasticity and outcomes for neurological rehabilitation , 2007, The Journal of physiology.
[25] K.-R. Muller,et al. BCI meeting 2005-workshop on BCI signal processing: feature extraction and translation , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[26] Christa Neuper,et al. An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate , 2004, IEEE Transactions on Biomedical Engineering.
[27] Jon A. Mukand,et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.
[28] J.D. Bayliss,et al. Use of the evoked potential P3 component for control in a virtual apartment , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[29] B. Pesaran,et al. Cognitive neural prosthetics , 2004, Trends in Cognitive Sciences.
[30] G. Pfurtscheller,et al. Critical Decision-Speed and Information Transfer in the “Graz Brain–Computer Interface” , 2003, Applied psychophysiology and biofeedback.
[31] S. Makeig,et al. EEG changes accompanying learned regulation of 12-Hz EEG activity , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[32] T. N. Lal,et al. Classifying EEG and ECoG signals without subject training for fast BCI implementation: comparison of nonparalyzed and completely paralyzed subjects , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[33] P. Sajda,et al. Response error correction-a demonstration of improved human-machine performance using real-time EEG monitoring , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[34] N. Birbaumer,et al. A non-invasive communication device for the paralyzed. , 2002, Minimally invasive neurosurgery : MIN.
[35] G. Pfurtscheller,et al. ‘Thought’ – control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia , 2003, Neuroscience Letters.
[36] Reinhold Scherer,et al. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components , 2005, Journal of neural engineering.
[37] A. Karim,et al. Neural Internet: Web Surfing with Brain Potentials for the Completely Paralyzed , 2006, Neurorehabilitation and neural repair.
[38] Karla Felix Navarro,et al. A Comprehensive Survey of Brain Interface Technology Designs , 2007, Annals of Biomedical Engineering.
[39] Soo-Young Lee,et al. Brain–computer interface using fMRI: spatial navigation by thoughts , 2004, Neuroreport.
[40] G Pfurtscheller,et al. [Mental activity hand orthosis control using the EEG: a case study]. , 2002, Die Rehabilitation.
[41] Christa Neuper,et al. Future prospects of ERD/ERS in the context of brain-computer interface (BCI) developments. , 2006, Progress in brain research.
[42] Xiaorong Gao,et al. A BCI-based environmental controller for the motion-disabled. , 2003, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[43] R. Andersen,et al. Cognitive neural prosthetics. , 2010, Annual review of psychology.
[44] J R Wolpaw,et al. EEG-based communication and control: short-term role of feedback. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[45] N. Birbaumer,et al. BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.
[46] M. Sams,et al. EEG and MEG brain-computer interface for tetraplegic patients , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[47] N. Birbaumer,et al. Communication in locked-in syndrome: Effects of imagery on salivary pH , 2006, Neurology.
[48] E. Donchin,et al. A P300-based brain–computer interface: Initial tests by ALS patients , 2006, Clinical Neurophysiology.
[49] S. G. Mason,et al. A General Framework for Characterizing Studies of Brain Interface Technology , 2005, Annals of Biomedical Engineering.
[50] B. Allison,et al. The effects of self-movement, observation, and imagination on mu rhythms and readiness potentials (RP's): toward a brain-computer interface (BCI). , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[51] B. Graimann,et al. Why Use A BCI If You Are Healthy ? , 2000 .
[52] Mark W. Scerbo,et al. Effects of a Psychophysiological System for Adaptive Automation on Performance, Workload, and the Event-Related Potential P300 Component , 2003, Hum. Factors.
[53] Jonathan R Wolpaw,et al. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[54] L. Cohen,et al. Brain–computer interfaces: communication and restoration of movement in paralysis , 2007, The Journal of physiology.
[55] L. Farwell,et al. Using brain MERMER testing to detect knowledge despite efforts to conceal. , 2001, Journal of forensic sciences.
[56] J. Wolpaw,et al. Answering questions with an electroencephalogram-based brain-computer interface. , 1998, Archives of physical medicine and rehabilitation.
[57] A Kostov,et al. Parallel man-machine training in development of EEG-based cursor control. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[58] Yanqing Zhang,et al. Convenient intelligent cursor control web systems for Internet users with severe motor-impairments , 2006, Int. J. Medical Informatics.
[59] Bo Hong,et al. A practical VEP-based brain-computer interface , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[60] M. Kupersmith. Human Brain Electrophysiology , 1989 .
[61] Helge J. Ritter,et al. BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm , 2004, IEEE Transactions on Biomedical Engineering.
[62] G. Pfurtscheller,et al. Implementation of a telemonitoring system for the control of an EEG-based brain-computer interface , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[63] A. Kübler,et al. Training locked-in patients: a challenge for the use of brain-computer interfaces , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[64] John J. Foxe,et al. Visual spatial attention tracking using high-density SSVEP data for independent brain-computer communication , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[65] L.J. Trejo,et al. Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[66] Nikolaus Weiskopf,et al. An EEG-driven brain-computer interface combined with functional magnetic resonance imaging (fMRI) , 2004, IEEE Transactions on Biomedical Engineering.
[67] Klaus-Robert Müller,et al. The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials , 2004, IEEE Transactions on Biomedical Engineering.
[68] Erich E. Sutter,et al. The brain response interface: communication through visually-induced electrical brain responses , 1992 .
[69] J.J. Vidal,et al. Real-time detection of brain events in EEG , 1977, Proceedings of the IEEE.
[70] Jonathan R Wolpaw,et al. EEG-Based Communication and Control: Speed–Accuracy Relationships , 2003, Applied psychophysiology and biofeedback.
[71] P. Sajda,et al. Cortically coupled computer vision for rapid image search , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[72] Andrew B. Schwartz,et al. Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics , 2006, Neuron.
[73] J. Polich,et al. P300 and alpha event-related desynchronization (ERD). , 2001, Psychophysiology.
[74] W. A. Sarnacki,et al. Brain–computer interface (BCI) operation: optimizing information transfer rates , 2003, Biological Psychology.
[75] David A. Kobus,et al. Overview of the DARPA Augmented Cognition Technical Integration Experiment , 2004, Int. J. Hum. Comput. Interact..
[76] D.J. McFarland,et al. The wadsworth BCI research and development program: at home with BCI , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[77] G.E. Birch,et al. Brain interface research for asynchronous control applications , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[78] Andrea Kübler,et al. Brain-computer interfaces--the key for the conscious brain locked into a paralyzed body. , 2005, Progress in brain research.
[79] Nikolaus Weiskopf,et al. Neuronal mechanisms underlying control of a brain–computer interface , 2005, The European journal of neuroscience.
[80] Christa Neuper,et al. ERD/ERS basic principles: evidence for resonance-like frequencies in sensorimotor areas , 2002 .
[81] S. Meagher. Instant neural control of a movement signal , 2002 .
[82] G. Barbati,et al. Functional source separation and hand cortical representation for a brain–computer interface feature extraction , 2007, The Journal of physiology.
[83] J.P. Donoghue,et al. BCI meeting 2005-workshop on clinical issues and applications , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[84] T. Demiralp,et al. Cognitive impairment in amyotrophic lateral sclerosis: evidence from neuropsychological investigation and event-related potentials. , 2002, Brain research. Cognitive brain research.
[85] J.R. Wolpaw,et al. BCI meeting 2005-workshop on signals and recording methods , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[86] G. Pfurtscheller,et al. How many people are able to operate an EEG-based brain-computer interface (BCI)? , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[87] P. Corcia,et al. Quality of life in ALS is maintained as physical function declines , 2001, Neurology.
[88] F. Piccione,et al. P300-based brain computer interface: Reliability and performance in healthy and paralysed participants , 2006, Clinical Neurophysiology.
[89] G. Pfurtscheller,et al. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. , 2005, Brain research. Cognitive brain research.
[90] S.A. Wills,et al. DASHER-an efficient writing system for brain-computer interfaces? , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[91] N. Birbaumer,et al. Automatic processing of self-regulation of slow cortical potentials: evidence from brain-computer communication in paralysed patients , 2004, Clinical Neurophysiology.
[92] F. Cincotti,et al. BCI meeting 2005-workshop on technology: hardware and software , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[93] Z. Keirn,et al. A new mode of communication between man and his surroundings , 1990, IEEE Transactions on Biomedical Engineering.
[94] B. Rockstroh. Slow Brain Potentials and Behavior , 1982 .
[95] R. Gur,et al. Telling truth from lie in individual subjects with fast event‐related fMRI , 2005, Human brain mapping.
[96] G. Pfurtscheller,et al. Information transfer rate in a five-classes brain-computer interface , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[97] M. Stokes,et al. Cognitive tasks for driving a brain-computer interfacing system: a pilot study , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[98] C.W. Anderson,et al. Comparison of linear, nonlinear, and feature selection methods for EEG signal classification , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[99] Andreas Lehmann,et al. Ist es sinnvoll, die Narkosetiefe zu messen? - Ein Versuch der Marktübersicht über die kommerziell erhältlichen Geräte zur Messung der Narkosetiefe , 2001 .
[100] Niels Birbaumer,et al. On the building of binary spelling interfaces for augmentative communication , 2005, IEEE Transactions on Biomedical Engineering.
[101] K.-R. Muller,et al. Linear and nonlinear methods for brain-computer interfaces , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[102] M.M. Moore,et al. Real-world applications for brain-computer interface technology , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[103] Shennan A. Weiss,et al. Rat navigation guided by remote control , 2002 .
[104] Thilo Hinterberger,et al. Assessment of cognitive function and communication ability in a completely locked-in patient , 2005, Neurology.
[105] David J. Ward,et al. Fast Hands-free Writing by Gaze Direction , 2002, ArXiv.
[106] D Santana,et al. [Recent advances in rehabilitation technology: a review of the brain-computer interface]. , 2004, Revista de neurologia.
[107] M. Tyler,et al. Brainport: an alternative input to the brain. , 2005, Journal of integrative neuroscience.
[108] J. Kassubek,et al. Emotional responding in amyotrophic lateral sclerosis , 2005, Journal of Neurology.
[109] Jason Dowling,et al. Artificial human vision , 2005, Expert review of medical devices.
[110] R. Shiffrin,et al. Automatic and controlled processing revisited. , 1984, Psychological review.
[111] J D Bayliss,et al. A virtual reality testbed for brain-computer interface research. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[112] D. McFarland,et al. An auditory brain–computer interface (BCI) , 2008, Journal of Neuroscience Methods.
[113] J Boldt,et al. [Is measuring the depth of anesthesia sensible? An overview on the currently available monitoring systems]. , 2001, Anasthesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS.
[114] Gerhard Friehs,et al. Initial Surgical Experience with an Intracortical Microelectrode Array for Brain-computer Interface Applications: 881 , 2006, Neurosurgery.
[115] J. Wolpaw,et al. Brain-computer communication: unlocking the locked in. , 2001, Psychological bulletin.
[116] Gary E. Birch,et al. Automatic user customization for improving the performance of a self-paced brain interface system , 2006, Medical and Biological Engineering and Computing.
[117] J. Zhou,et al. EEG-based Discrimination of Elbow/Shoulder Torques using Brain Computer Interface Algorithms: Implications for Rehabilitation , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[118] P R Kennedy,et al. Direct control of a computer from the human central nervous system. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[119] E Donchin,et al. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[120] Thad Starner,et al. Wearable computing for the developing world , 2005, IEEE Pervasive Comput..
[121] S Makeig,et al. A natural basis for efficient brain-actuated control. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[122] Philip Kennedy. Comparing Electrodes for Use as Cortical Control Signals: Tiny Tines, Tiny Wires, or Tiny Cones on Wires Which Is Best? , 2007 .
[123] N. Birbaumer,et al. The thought-translation device (TTD): neurobehavioral mechanisms and clinical outcome , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[124] Gert Pfurtscheller,et al. Walking from thought , 2006, Brain Research.
[125] Max Hirshkowitz,et al. Sleep stage scoring in the adult population. , 2005, Respiratory care clinics of North America.
[126] G.E. Birch,et al. Current trends in brain-computer interface research at the Neil Squire foundation , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[127] J. Wolpaw,et al. EMG contamination of EEG: spectral and topographical characteristics , 2003, Clinical Neurophysiology.
[128] Dennis J. McFarland,et al. Brain-computer interface (BCI) operation: signal and noise during early training sessions , 2005, Clinical Neurophysiology.
[129] Bernhard Graimann,et al. New Applications for Non-invasive Brain-Computer Interfaces and the Need for Engaging Training Environments , 2007 .
[130] S. A. Hillyard,et al. Sustained division of the attentional spotlight , 2003, Nature.
[131] E. Donchin,et al. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. , 1988, Electroencephalography and clinical neurophysiology.
[132] Michael J. Black,et al. Assistive technology and robotic control using motor cortex ensemble‐based neural interface systems in humans with tetraplegia , 2007, The Journal of physiology.
[133] Thilo Hinterberger,et al. An Auditory Brain-Computer Interface Based on the Self-Regulation of Slow Cortical Potentials , 2005, Neurorehabilitation and neural repair.
[134] H. Flor,et al. A spelling device for the paralysed , 1999, Nature.
[135] H. Flor,et al. A multimodal brain-based feedback and communication system , 2004, Experimental Brain Research.
[136] José del R. Millán,et al. Noninvasive brain-actuated control of a mobile robot by human EEG , 2004, IEEE Transactions on Biomedical Engineering.
[137] Jerald D. Kralik,et al. Real-time prediction of hand trajectory by ensembles of cortical neurons in primates , 2000, Nature.
[138] J. Gabrieli,et al. Direct comparison of neural systems mediating conscious and unconscious skill learning. , 2002, Journal of neurophysiology.
[139] P.R. Kennedy,et al. A decision tree for brain-computer interface devices , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[140] John J. Foxe,et al. Attention-dependent suppression of distracter visual input can be cross-modally cued as indexed by anticipatory parieto-occipital alpha-band oscillations. , 2001, Brain research. Cognitive brain research.
[141] David J. Ward,et al. Artificial intelligence: Fast hands-free writing by gaze direction , 2002, Nature.
[142] J. Pineda,et al. Learning to control brain rhythms: making a brain-computer interface possible , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[143] Rajesh P. N. Rao,et al. Electrocorticography-based brain computer Interface-the seattle experience , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[144] P. Kennedy,et al. Restoration of neural output from a paralyzed patient by a direct brain connection , 1998, Neuroreport.
[145] G. Pfurtscheller,et al. 15 years of BCI research at graz university of technology: current projects , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[146] G. Pfurtscheller,et al. EEG-based neuroprosthesis control: A step towards clinical practice , 2005, Neuroscience Letters.
[147] Jonathan R Wolpaw,et al. Brain–computer interfaces as new brain output pathways , 2007, The Journal of physiology.
[148] J. Wolpaw,et al. Multichannel EEG-based brain-computer communication. , 1994, Electroencephalography and clinical neurophysiology.
[149] G. Pfurtscheller,et al. Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces? , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[150] G Calhoun,et al. Brain-computer interfaces based on the steady-state visual-evoked response. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[151] Bang-hua Yang,et al. [A review of brain-computer interfaces (BCIs)]. , 2005, Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation.
[152] J. Pineda. The functional significance of mu rhythms: Translating “seeing” and “hearing” into “doing” , 2005, Brain Research Reviews.
[153] B. Dobkin,et al. Basic advances and new avenues in therapy of spinal cord injury. , 2004, Annual review of medicine.
[154] Kazuo Tanaka,et al. Electroencephalogram-based control of an electric wheelchair , 2005, IEEE Transactions on Robotics.
[155] J. Wolpaw,et al. Mu and Beta Rhythm Topographies During Motor Imagery and Actual Movements , 2004, Brain Topography.
[156] Melody Moore,et al. Using human extra-cortical local field potentials to control a switch. , 2004, Journal of neural engineering.
[157] S. Retterer,et al. Controlling cellular reactive responses around neural prosthetic devices using peripheral and local intervention strategies , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[158] A. Buttfield,et al. Towards a robust BCI: error potentials and online learning , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[159] E. John,et al. From synchronous neuronal discharges to subjective awareness? , 2005, Progress in brain research.
[160] F. Babiloni,et al. Developing wearable bio-feedback systems: a general-purpose platform , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[161] J J Tecce,et al. Eye movement control of computer functions. , 1998, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[162] R. Andersen,et al. Cognitive Control Signals for Neural Prosthetics , 2004, Science.