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Brain–computer interfaces in neurological rehabilitation

Lancet neurology, 2008-11, Vol.7 (11), p.1032-1043

2008

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Brain–computer interfaces as new brain output pathways

The Journal of physiology, 2007-03, Vol.579 (3), p.613-619

Wolpaw, Jonathan R.

2007

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Brain-Computer Interfaces in Medicine

Mayo Clinic proceedings, 2012-03, Vol.87 (3), p.268-279

2012

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What Can the Spinal Cord Teach Us about Learning and Memory?

The Neuroscientist, 2010-10, Vol.16 (5), p.532-549

Wolpaw, Jonathan R.

2010

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Control of a Two-Dimensional Movement Signal by a Noninvasive Brain-Computer Interface in Humans

Proceedings of the National Academy of Sciences - PNAS, 2004-12, Vol.101 (51), p.17849-17854

2004

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Operant conditioning of a spinal reflex can improve locomotion after spinal cord injury in humans

The Journal of neuroscience, 2013-02, Vol.33 (6), p.2365-2375

2013

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Towards clinical application of implantable brain–computer interfaces for people with late-stage ALS: medical and ethical considerations

Journal of neurology, 2023-03, Vol.270 (3), p.1323-1336

2023

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Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition

NeuroImage (Orlando, Fla.), 2011-02, Vol.54 (4), p.2960-2972

2011

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Brain–computer interfaces for communication and control

Clinical Neurophysiology, 2002-06, Vol.113 (6), p.767-791

2002

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Towards an independent brain–computer interface using steady state visual evoked potentials

Clinical neurophysiology, 2008-02, Vol.119 (2), p.399-408

2008

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The negotiated equilibrium model of spinal cord function

The Journal of physiology, 2018-08, Vol.596 (16), p.3469-3491

Wolpaw, Jonathan R.

2018

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Acquisition of a Simple Motor Skill: Task-Dependent Adaptation Plus Long-Term Change in the Human Soleus H-Reflex

The Journal of neuroscience, 2009-05, Vol.29 (18), p.5784-5792

2009

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The P300-based brain–computer interface (BCI): Effects of stimulus rate

Clinical neurophysiology, 2011-04, Vol.122 (4), p.731-737

2011

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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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Heksor: the central nervous system substrate of an adaptive behaviour

The Journal of physiology, 2022-08, Vol.600 (15), p.3423-3452

2022

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Brain-Computer Communication: Unlocking the Locked In

Psychological bulletin, 2001-05, Vol.127 (3), p.358-375

2001

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H‐reflex conditioning during locomotion in people with spinal cord injury

The Journal of physiology, 2021-05, Vol.599 (9), p.2453-2469

2021

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Soleus H-reflex operant conditioning changes the H-reflex recruitment curve

Muscle & nerve, 2013-04, Vol.47 (4), p.539-544

2013

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Brain–computer interface (BCI) operation: optimizing information transfer rates

Biological psychology, 2003-07, Vol.63 (3), p.237-251

2003

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Real-time detection of event-related brain activity

NeuroImage (Orlando, Fla.), 2008-11, Vol.43 (2), p.245-249

2008

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Effects of active and sham tDCS on the soleus H-reflex during standing

Experimental brain research, 2023-06, Vol.241 (6), p.1611-1622

2023

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Brain-computer interface (BCI) operation: signal and noise during early training sessions

Clinical neurophysiology, 2005, Vol.116 (1), p.56-62

2005

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Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects

IEEE reviews in biomedical engineering, 2009, Vol.2, p.187-199

2009

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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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Brain–computer interfaces in neurological rehabilitation

Brain–computer interfaces as new brain output pathways

Brain-Computer Interfaces in Medicine

What Can the Spinal Cord Teach Us about Learning and Memory?

Control of a Two-Dimensional Movement Signal by a Noninvasive Brain-Computer Interface in Humans

Operant conditioning of a spinal reflex can improve locomotion after spinal cord injury in humans

Towards clinical application of implantable brain–computer interfaces for people with late-stage ALS: medical and ethical considerations

Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition

Brain–computer interfaces for communication and control

Towards an independent brain–computer interface using steady state visual evoked potentials

The negotiated equilibrium model of spinal cord function

Acquisition of a Simple Motor Skill: Task-Dependent Adaptation Plus Long-Term Change in the Human Soleus H-Reflex

The P300-based brain–computer interface (BCI): Effects of stimulus rate

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

Heksor: the central nervous system substrate of an adaptive behaviour

Brain-Computer Communication: Unlocking the Locked In

H‐reflex conditioning during locomotion in people with spinal cord injury

Soleus H-reflex operant conditioning changes the H-reflex recruitment curve

Brain–computer interface (BCI) operation: optimizing information transfer rates

Real-time detection of event-related brain activity

Effects of active and sham tDCS on the soleus H-reflex during standing

Brain-computer interface (BCI) operation: signal and noise during early training sessions

Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects

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

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