Learned self-regulation of the lesioned brain with epidural electrocorticography - Wikidata - awgldk - TriplyDB

Learned self-regulation of the lesioned brain with epidural electrocorticography

Learned self-regulation of the lesioned brain with epidural electrocorticography

http://www.wikidata.org/entity/Q34660808

about

Brain state-dependent robotic reaching movement with a multi-joint arm exoskeleton: combining brain-machine interfacing and robotic rehabilitation Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation.Self-regulation of circumscribed brain activity modulates spatially selective and frequency specific connectivity of distributed resting state networks.Brain State-Dependent Closed-Loop Modulation of Paired Associative Stimulation Controlled by Sensorimotor Desynchronization.Closed-Loop Neuroprosthesis for Reach-to-Grasp Assistance: Combining Adaptive Multi-channel Neuromuscular Stimulation with a Multi-joint Arm Exoskeleton.Hybrid Neuroprosthesis for the Upper Limb: Combining Brain-Controlled Neuromuscular Stimulation with a Multi-Joint Arm Exoskeleton Closed-Loop Task Difficulty Adaptation during Virtual Reality Reach-to-Grasp Training Assisted with an Exoskeleton for Stroke Rehabilitation Physiological properties of brain-machine interface input signals.Compensation or Restoration: Closed-Loop Feedback of Movement Quality for Assisted Reach-to-Grasp Exercises with a Multi-Joint Arm Exoskeleton.Neuromuscular Plasticity: Disentangling Stable and Variable Motor Maps in the Human Sensorimotor Cortex.What Turns Assistive into Restorative Brain-Machine Interfaces?Reinforcement learning of self-regulated β-oscillations for motor restoration in chronic stroke.Proprioceptive Feedback Facilitates Motor Imagery-Related Operant Learning of Sensorimotor β-Band Modulation.Constraints and Adaptation of Closed-Loop Neuroprosthetics for Functional Restoration

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Learned self-regulation of the lesioned brain with epidural electrocorticography

http://www.wikidata.org/entity/Q34660808

description

2014 nî lūn-bûn

@nan

2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Learned self-regulation of the lesioned brain with epidural electrocorticography

@en

Learned self-regulation of the lesioned brain with epidural electrocorticography

@nl

type

label

Learned self-regulation of the lesioned brain with epidural electrocorticography

@en

Learned self-regulation of the lesioned brain with epidural electrocorticography

@nl

prefLabel

Learned self-regulation of the lesioned brain with epidural electrocorticography

@en

Learned self-regulation of the lesioned brain with epidural electrocorticography

@nl

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FNBEH.2014.00429

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Frontiers in Behavioral Neuroscience

P1476

Learned self-regulation of the lesioned brain with epidural electrocorticography

@en

P2093

Alireza Gharabaghi

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Armin Walter

http://www.w3.org/2001/XMLSchema#string

Fatemeh Khademi

http://www.w3.org/2001/XMLSchema#string

Georgios Naros

http://www.w3.org/2001/XMLSchema#string

Jessica Jesser

http://www.w3.org/2001/XMLSchema#string

Martin Bogdan

http://www.w3.org/2001/XMLSchema#string

Martin Spüler

http://www.w3.org/2001/XMLSchema#string

Wolfgang Rosenstiel

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P2860

Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.

Evolution of brain-computer interfaces: going beyond classic motor physiology

Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

An electrocorticographic brain interface in an individual with tetraplegia

Beta-band amplitude oscillations in the human internal globus pallidus support the encoding of sequence boundaries during initial sensorimotor sequence learning.

High-performance neuroprosthetic control by an individual with tetraplegia.

A fully integrated wireless system for intracranial direct cortical stimulation, real-time electrocorticography data transmission, and smart cage for wireless battery recharge.

Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke

A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface.

A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.

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429

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scholarly article

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10.3389/FNBEH.2014.00429

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8

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Niels Birbaumer

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2014-12-09T00:00:00Z

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269809673

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25538591

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4260503

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