successfully explains changes in neural modulations during experiments with brain-machine interfaces. Front. Syst. Neurosci. 9:71. doi: 10.3389/fnsys.2015.00071 Optimal feedback control successfully explains changes in neural modulations during experiments with brain-machine interface
The brain typically uses a rich supply of feedback frommultiple sensorymodalities to controlmovement...
Contains fulltext : 99861.pdf (publisher's version ) (Open Access)Large efforts ar...
Recently, non-invasive brain stimulation (NBS) has been discovered as a tool to improve human perfor...
The motor system routinely generates a multitude of fast, accurate, and elegant movements.In large p...
Contains fulltext : 196229.pdf (publisher's version ) (Open Access)Reinforcement l...
Thesis (Ph.D.)--University of Washington, 2014Brain-computer interface (BCI) technology is evolving ...
This article provides a commentary on the article "Feedback stabilizes propagation of synchronous sp...
Recent work is revealing neural correlates of a leading theory of motor control. By linking an elega...
Dataset for the manuscript entitled: Brain-machine interface learning is facilitated by specific pat...
We designed a novel assisted closed-loop optimization protocol to improve the efficiency of brain-co...
Restorative brain–computer interfaces (BCIs) have been proposed to enhance stroke rehabilitation. Re...
A fundamental way in which we interact with the world around us is voluntary movement. The primary m...
Brain-machine interfaces (BMIs) are an emerging field of research that seeks to interface the brain ...
Learning a new skill requires one to produce new patterns of activity among networks of neurons. Thi...
International audienceSystems neuroscience classically studies how neuronal circuits dynamically int...
The brain typically uses a rich supply of feedback frommultiple sensorymodalities to controlmovement...
Contains fulltext : 99861.pdf (publisher's version ) (Open Access)Large efforts ar...
Recently, non-invasive brain stimulation (NBS) has been discovered as a tool to improve human perfor...
The motor system routinely generates a multitude of fast, accurate, and elegant movements.In large p...
Contains fulltext : 196229.pdf (publisher's version ) (Open Access)Reinforcement l...
Thesis (Ph.D.)--University of Washington, 2014Brain-computer interface (BCI) technology is evolving ...
This article provides a commentary on the article "Feedback stabilizes propagation of synchronous sp...
Recent work is revealing neural correlates of a leading theory of motor control. By linking an elega...
Dataset for the manuscript entitled: Brain-machine interface learning is facilitated by specific pat...
We designed a novel assisted closed-loop optimization protocol to improve the efficiency of brain-co...
Restorative brain–computer interfaces (BCIs) have been proposed to enhance stroke rehabilitation. Re...
A fundamental way in which we interact with the world around us is voluntary movement. The primary m...
Brain-machine interfaces (BMIs) are an emerging field of research that seeks to interface the brain ...
Learning a new skill requires one to produce new patterns of activity among networks of neurons. Thi...
International audienceSystems neuroscience classically studies how neuronal circuits dynamically int...
The brain typically uses a rich supply of feedback frommultiple sensorymodalities to controlmovement...
Contains fulltext : 99861.pdf (publisher's version ) (Open Access)Large efforts ar...
Recently, non-invasive brain stimulation (NBS) has been discovered as a tool to improve human perfor...
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