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A comprehensive review of EEG-based brain-computer interface paradigms

Journal of neural engineering, 2019-02, Vol.16 (1), p.011001-011001

2019

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A P300-based brain–computer interface: Initial tests by ALS patients

Clinical neurophysiology, 2006-03, Vol.117 (3), p.538-548

2006

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Noninvasive brain-computer interface enables communication after brainstem stroke

Science translational medicine, 2014-10, Vol.6 (257), p.257re7

2014

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A P300 brain-computer interface based on a modification of the mismatch negativity paradigm

International journal of neural systems, 2015-05, Vol.25 (3), p.1550011

2015

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P300 brain computer interface: current challenges and emerging trends

Frontiers in neuroengineering, 2012, Vol.5, p.14-14

2012

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A comparison of classification techniques for the P300 Speller

Journal of neural engineering, 2006-12, Vol.3 (4), p.299-305

2006

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New horizons in brain-computer interface research

Clinical neurophysiology, 2013-01, Vol.124 (1), p.2-4

Sellers, Eric W

2013

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A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance

Biological psychology, 2006-10, Vol.73 (3), p.242-252

2006

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Toward Independent Home Use of Brain-Computer Interfaces: A Decision Algorithm for Selection of Potential End-Users

Archives of physical medicine and rehabilitation, 2015-03, Vol.96 (3), p.S27-S32

2015

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A general P300 brain–computer interface presentation paradigm based on performance guided constraints

Neuroscience letters, 2012-12, Vol.531 (2), p.63-68

2012

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Bayesian Approach to Dynamically Controlling Data Collection in P300 Spellers

IEEE transactions on neural systems and rehabilitation engineering, 2013-05, Vol.21 (3), p.508-517

2013

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Optimized stimulus presentation patterns for an event-related potential EEG-based brain-computer interface

Medical & biological engineering & computing, 2011-02, Vol.49 (2), p.181-191

2011

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The cognitive tasks and event-related potentials associated childhood adversity: A systematic review

Neuroscience and biobehavioral reviews, 2024-03, Vol.158, p.105573-105573, Article 105573

2024

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Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis

Neurology, 2018-07, Vol.91 (3), p.e258

2018

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P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls

Clinical neurophysiology, 2015-11, Vol.126 (11), p.2124-2131

2015

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Targeting an efficient target-to-target interval for P300 speller brain–computer interfaces

Medical & biological engineering & computing, 2012-03, Vol.50 (3), p.289-296

2012

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An adaptive P300-based control system

Journal of neural engineering, 2011-06, Vol.8 (3), p.036006-1-14

2011

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The effects of working memory on brain–computer interface performance

Clinical neurophysiology, 2016-02, Vol.127 (2), p.1331-1341

2016

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Whether generic model works for rapid ERP-based BCI calibration

Journal of neuroscience methods, 2013-01, Vol.212 (1), p.94-99

2013

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A brain-computer interface for long-term independent home use

Amyotrophic lateral sclerosis, 2010-10, Vol.11 (5), p.449-455

2010

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Impact of Effortful Word Recognition on Supportive Neural Systems Measured by Alpha and Theta Power

Ear and hearing, 2022-09, Vol.43 (5), p.1549-1562

2022

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Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis and frontotemporal degeneration, 2014-06, Vol.15 (3-4), p.207-215

2014

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The wadsworth BCI research and development program: at home with BCI

IEEE transactions on neural systems and rehabilitation engineering, 2006-06, Vol.14 (2), p.229-233

2006

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Brain-computer interface research at the university of south Florida cognitive psychophysiology laboratory: the P300 speller

IEEE transactions on neural systems and rehabilitation engineering, 2006-06, Vol.14 (2), p.221-224

2006

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EEG correlates of P300-based brain-computer interface (BCI) performance in people with amyotrophic lateral sclerosis

Journal of neural engineering, 2012-04, Vol.9 (2), p.026014-1-11

2012

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A comprehensive review of EEG-based brain-computer interface paradigms

A P300-based brain–computer interface: Initial tests by ALS patients

Noninvasive brain-computer interface enables communication after brainstem stroke

A P300 brain-computer interface based on a modification of the mismatch negativity paradigm

P300 brain computer interface: current challenges and emerging trends

A comparison of classification techniques for the P300 Speller

New horizons in brain-computer interface research

A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance

Toward Independent Home Use of Brain-Computer Interfaces: A Decision Algorithm for Selection of Potential End-Users

A general P300 brain–computer interface presentation paradigm based on performance guided constraints

Bayesian Approach to Dynamically Controlling Data Collection in P300 Spellers

Optimized stimulus presentation patterns for an event-related potential EEG-based brain-computer interface

The cognitive tasks and event-related potentials associated childhood adversity: A systematic review

Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis

P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls

Targeting an efficient target-to-target interval for P300 speller brain–computer interfaces

An adaptive P300-based control system

The effects of working memory on brain–computer interface performance

Whether generic model works for rapid ERP-based BCI calibration

A brain-computer interface for long-term independent home use

Impact of Effortful Word Recognition on Supportive Neural Systems Measured by Alpha and Theta Power

Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis

The wadsworth BCI research and development program: at home with BCI

Brain-computer interface research at the university of south Florida cognitive psychophysiology laboratory: the P300 speller

EEG correlates of P300-based brain-computer interface (BCI) performance in people with amyotrophic lateral sclerosis

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