Tag: neurorehabilitation

Modified: Feb 24, 2026

tES-fNIRS closed-loop framework for response inhibition

Modified: Feb 24, 2026

tDCS plus robotic gait training and cortical connectivity in SCI

Modified: Feb 24, 2026

Spinal cord stimulation and rehabilitation robotics for movement restoration in paralysis

Modified: Feb 24, 2026

Software platform for real-time and adaptive neuroscience experiments

Modified: Feb 24, 2026

Simons Foundation workshop on canonical cortical computations

Modified: Feb 24, 2026

rTMS vs iTBS for post-stroke dysphagia

Modified: Feb 22, 2026

rTMS over DLPFC for consciousness recovery in TBI patients

Modified: Feb 26, 2026

Novel fNIRS technique for brain-state detection

Modified: Feb 24, 2026

NIH precision neurorehabilitation center grant at MUSC

Modified: Jul 20, 2026

Neurorehabilitation

Modified: Feb 24, 2026

Net2Brain: toolbox for comparing artificial vision models with brain responses

Modified: Feb 24, 2026

Long-term exercise and neural plasticity in Parkinson's rehabilitation

Modified: Feb 26, 2026

Large EEG database of freewill reaching and grasping tasks for brain-machine interfaces

Modified: Feb 24, 2026

Inhibited neural response during interpersonal conflict from fNIRS hyperscanning

Modified: Feb 24, 2026

INBRAIN Neuroelectronics

Modified: Feb 22, 2026

Hairlike EEG electrode for long-term non-invasive brain monitoring

Modified: Jun 23, 2026

g.tec BCI & Neurotechnology Spring School 2026

Modified: Jul 20, 2026

Functional Electrical Stimulation (FES)

Modified: Feb 24, 2026

False positives in control conditions in low-powered neuroimaging trials

Modified: Jun 21, 2026

EEG brain-state–dependent rTMS for motor learning (JNE, 2026)

Modified: Feb 24, 2026

Deep learning with spiking neural networks for multimodal neuroimaging

Modified: Feb 22, 2026

Corticospinal excitability as neurophysiological marker in acquired glycine receptor antibody syndrome

Modified: Feb 24, 2026

Concurrent TBS/fNIRS for predicting iTBS-induced prefrontal excitability

Modified: Feb 26, 2026

BrainQ

Modified: Feb 23, 2026

BCI closed-loop systems for neurorehabilitation: AI and machine learning innovations

Modified: Feb 24, 2026

Artificial tactile and sensory feedback in BCI and neuroprosthetics

Modified: Feb 22, 2026

AI and machine learning driven nanorobotics for targeted brain delivery and blood-brain barrier navigation

Modified: Feb 24, 2026

Neural Noise

Browse

tES-fNIRS closed-loop framework for response inhibition

tDCS plus robotic gait training and cortical connectivity in SCI

Spinal cord stimulation and rehabilitation robotics for movement restoration in paralysis

Software platform for real-time and adaptive neuroscience experiments

Simons Foundation workshop on canonical cortical computations

rTMS vs iTBS for post-stroke dysphagia

rTMS over DLPFC for consciousness recovery in TBI patients

Novel fNIRS technique for brain-state detection

NIH precision neurorehabilitation center grant at MUSC

Neurorehabilitation

Net2Brain: toolbox for comparing artificial vision models with brain responses

Long-term exercise and neural plasticity in Parkinson's rehabilitation

Large EEG database of freewill reaching and grasping tasks for brain-machine interfaces

Inhibited neural response during interpersonal conflict from fNIRS hyperscanning

INBRAIN Neuroelectronics

Hairlike EEG electrode for long-term non-invasive brain monitoring

g.tec BCI & Neurotechnology Spring School 2026

Functional Electrical Stimulation (FES)

False positives in control conditions in low-powered neuroimaging trials

EEG brain-state–dependent rTMS for motor learning (JNE, 2026)

Deep learning with spiking neural networks for multimodal neuroimaging

Corticospinal excitability as neurophysiological marker in acquired glycine receptor antibody syndrome

Concurrent TBS/fNIRS for predicting iTBS-induced prefrontal excitability

BrainQ

BCI closed-loop systems for neurorehabilitation: AI and machine learning innovations

Artificial tactile and sensory feedback in BCI and neuroprosthetics

AI and machine learning driven nanorobotics for targeted brain delivery and blood-brain barrier navigation

Aesthetics, illusion of success and age in closed-loop neurofeedback design