Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. - Test2 - elhamkhani - TriplyDB

Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

http://www.wikidata.org/entity/Q39169358

about

From the motor cortex to the movement and back again Highly scalable multichannel mesh electronics for stable chronic brain electrophysiology.Polyethylene glycol-induced motor recovery after total spinal transection in rats.New thin-film surface electrode array enables brain mapping with high spatial acuity in rodents.EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century.Measuring behavior across scales.EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots Event-related desynchronization during movement attempt and execution in severely paralyzed stroke patients: An artifact removal relevance analysis The sense of agency shapes body schema and peripersonal space An error-aware gaze-based keyboard by means of a hybrid BCI system Effect of Graphene Nanoribbons (TexasPEG) on locomotor function recovery in a rat model of lumbar spinal cord transection

P2860

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P2860

Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

http://www.wikidata.org/entity/Q39169358

description

2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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name

Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

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Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

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type

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Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

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Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

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Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

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Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

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PHYSREV.00027.2016

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Physiological Reviews

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Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation

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Miguel A L Nicolelis

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P2860

Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains.

Representation of attended versus remembered locations in prefrontal cortex

P300 brain computer interface: current challenges and emerging trends

Learning to control a brain-machine interface for reaching and grasping by primates

Conscious brain-to-brain communication in humans using non-invasive technologies

Continuous three-dimensional control of a virtual helicopter using a motor imagery based brain-computer interface

Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain

ELECTRICAL SYNAPSES IN THE MAMMALIAN BRAIN

Large-scale recording of neuronal ensembles

The normal membrane potential of frog sartorius fibers

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767-837

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scholarly article

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10.1152/PHYSREV.00027.2016

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2

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97

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Mikhail A Lebedev

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2017-04-01T00:00:00Z

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28275048

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