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Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

Neural computing & applications (Print), 2021
Hamdi Altaheri   +7 more
semanticscholar   +1 more source

Controllability of Motor Imagery and Transformation of Visual Imagery

Perceptual and Motor Skills, 1994
This study examined the relation between control of motor imagery and generation and transformation of visual imagery by testing 54 subjects. We used two measures of the Controllability of Motor Imagery test to evaluate the ability to control motor imagery. One was a recognition test on which the subject imagines as if one sees another's movement, and
openaire   +2 more sources

Motor and Kinesthetic Imagery

2012
This chapter aims to provide an overview of the functional, ­physiological, and neural characteristics of motor imagery. The literature reviewed shows that motor imagery shares many characteristics with motor executions, both at a behavioral and a physiological level.
Anema, H.A., Dijkerman, H.C.
openaire   +2 more sources

Motor Imagery for Peripheral Injury

Archives of Physical Medicine and Rehabilitation, 2009
G Lorimer, Moseley, Chris, Barnett
openaire   +2 more sources

A novel deep learning approach for classification of EEG motor imagery signals

Journal of Neural Engineering, 2017
Y. R. Tabar, U. Halici
semanticscholar   +1 more source

The neural network of motor imagery: An ALE meta-analysis

Neuroscience and Biobehavioral Reviews, 2013
Sebastien Hetu   +2 more
exaly  

Roles of Supplementary Motor Areas in Auditory Processing and Auditory Imagery

Trends in Neurosciences, 2016
César F. Lima   +2 more
exaly  

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