Training in Use of Brain–Machine Interface-Controlled Robotic Hand Improves Accuracy Decoding Two Types of Hand Movements

Objective: Brain-machine interfaces (BMIs) are useful for inducing plastic changes in cortical representation. A BMI first decodes hand movements using cortical signals and then converts the decoded information into movements of a robotic hand. By using the BMI robotic hand, the cortical representat...

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Dettagli Bibliografici
Pubblicato in:Front Neurosci
Autori principali: Fukuma, Ryohei, Yanagisawa, Takufumi, Yokoi, Hiroshi, Hirata, Masayuki, Yoshimine, Toshiki, Saitoh, Youichi, Kamitani, Yukiyasu, Kishima, Haruhiko
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2018
Soggetti:
Neuroscience
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6050372/
https://ncbi.nlm.nih.gov/pubmed/30050405
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00478
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