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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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Brain-computer interface use is a skill that user and system acquire together

PLoS biology, 2018-07, Vol.16 (7), p.e2006719-e2006719

2018

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Operant conditioning of spinal reflexes: from basic science to clinical therapy

Frontiers in integrative neuroscience, 2014-03, Vol.8, p.25-25

2014

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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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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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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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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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Motor learning changes the axon initial segment of the spinal motoneuron

The Journal of physiology, 2024-05, Vol.602 (9), p.2107-2126

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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Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain–computer interface

Brain research bulletin, 2012-01, Vol.87 (1), p.130-134

2012

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Brain-Computer Interface Research Comes of Age: Traditional Assumptions Meet Emerging Realities

Journal of motor behavior, 2010-11, Vol.42 (6), p.351-353

Wolpaw, Jonathan R.

2010

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Nothing either good or bad but action makes it so

The Journal of physiology, 2017-02, Vol.595 (4), p.1003-1004

2017

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Treadmill training after spinal cord injury: good but not better

Neurology, 2006-02, Vol.66 (4), p.466-467

Wolpaw, Jonathan R

2006

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Timing of EEG-based cursor control

Journal of clinical neurophysiology, 1997-11, Vol.14 (6), p.529-538

1997

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Acute and Chronic Antiepileptic Drug Effect on the T Complex Interhemispheric Latency Difference

Epilepsia (Copenhagen), 1978-02, Vol.19 (1), p.99-107

1978

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Acute and Chronic Antiepileptic Drug Effect on the T Complex Interhemispheric Latency Difference

Epilepsia (Copenhagen), 1978-02, Vol.19 (1), p.99-107

1978

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Brain–computer interfaces in neurological rehabilitation

Brain–computer interfaces as new brain output pathways

Brain-Computer Interfaces in Medicine

Brain-computer interface use is a skill that user and system acquire together

Operant conditioning of spinal reflexes: from basic science to clinical therapy

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

The negotiated equilibrium model of spinal cord function

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

Heksor: the central nervous system substrate of an adaptive behaviour

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

Motor learning changes the axon initial segment of the spinal motoneuron

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

Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain–computer interface

Brain-Computer Interface Research Comes of Age: Traditional Assumptions Meet Emerging Realities

Nothing either good or bad but action makes it so

Treadmill training after spinal cord injury: good but not better

Timing of EEG-based cursor control

Acute and Chronic Antiepileptic Drug Effect on the T Complex Interhemispheric Latency Difference

Acute and Chronic Antiepileptic Drug Effect on the T Complex Interhemispheric Latency Difference

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