10.1109/CCMB.2013.6609171Proceedings of the 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 201394-10
Performance of motor imagery (MI)-based brain computer interfaces (BCIs) highly depends on the extra...
Recent studies of functional or effective connectivity in the brain have reported that motor-related...
<div><p>Background</p><p>Recent studies of functional or effective connectivity in the brain have re...
The brain has been understood as an interconnected neural network generally modeled as a graph to ou...
This review article discusses the definition and implementation of brain-computer interface (BCI) sy...
EEG connectivity measures could provide a new type of feature space for inferring a subject's intent...
EEG connectivity measures could provide a new type of feature space for inferring a subject’s intent...
Assessment of brain connectivity among different brain areas during cognitive or motor tasks is a cr...
none4First Online: 18 November 2006Assessment of brain connectivity among different brain areas duri...
Hands motor imagery (MI) has been reported to alter synchronization patterns amongst neurons, yieldi...
Motor imagery-based brain-computer interfaces have gained much attention in the past few years. It e...
International audienceThe human brain can be considered as a graphical network having different regi...
Motor imagery (MI)-based brain–computer interfaces have gained much attention in the last few years....
Feature extraction is essential for classifying different motor imagery (MI) tasks in a brain-comput...
Effective connectivity has been employed to study brain networks and connectivity patterns. The effe...
Performance of motor imagery (MI)-based brain computer interfaces (BCIs) highly depends on the extra...
Recent studies of functional or effective connectivity in the brain have reported that motor-related...
<div><p>Background</p><p>Recent studies of functional or effective connectivity in the brain have re...
The brain has been understood as an interconnected neural network generally modeled as a graph to ou...
This review article discusses the definition and implementation of brain-computer interface (BCI) sy...
EEG connectivity measures could provide a new type of feature space for inferring a subject's intent...
EEG connectivity measures could provide a new type of feature space for inferring a subject’s intent...
Assessment of brain connectivity among different brain areas during cognitive or motor tasks is a cr...
none4First Online: 18 November 2006Assessment of brain connectivity among different brain areas duri...
Hands motor imagery (MI) has been reported to alter synchronization patterns amongst neurons, yieldi...
Motor imagery-based brain-computer interfaces have gained much attention in the past few years. It e...
International audienceThe human brain can be considered as a graphical network having different regi...
Motor imagery (MI)-based brain–computer interfaces have gained much attention in the last few years....
Feature extraction is essential for classifying different motor imagery (MI) tasks in a brain-comput...
Effective connectivity has been employed to study brain networks and connectivity patterns. The effe...
Performance of motor imagery (MI)-based brain computer interfaces (BCIs) highly depends on the extra...
Recent studies of functional or effective connectivity in the brain have reported that motor-related...
<div><p>Background</p><p>Recent studies of functional or effective connectivity in the brain have re...
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