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Journal of Cognitive Neuroscience, ISSN 0898-929X, 08/2015, Volume 27, Issue 8, pp. 1471 - 1491
Network science provides theoretical, computational, and empirical tools that can be used to understand the structure and function of the human brain in novel ways using simple concepts and mathematical representations... 
Review | ANALYSIS REVEALS | WORKING-MEMORY NETWORKS | CORTICAL THICKNESS | ANATOMICAL NETWORKS | BRAIN FUNCTIONAL NETWORK | LOW-FREQUENCY | RESTING-STATE | TEST-RETEST RELIABILITY | NEUROSCIENCES | PSYCHOLOGY, EXPERIMENTAL | PREFRONTAL CORTEX | MODELING METHODS | Cognition - physiology | Models, Neurological | Brain - physiology | Neural Pathways - physiology | Humans | Neural Networks (Computer)
Journal Article
Journal of Neural Engineering, ISSN 1741-2560, 07/2018, Volume 15, Issue 5, p. 56013
.... Convolutional neural networks (CNNs), which have been used in computer vision and speech recognition to perform automatic feature extraction and classification, have successfully been applied to EEG-based BCIs... 
deep learning | sensory motor rhythm | event-related potential | brain-computer interface | convolutional neural network | EEG | SYSTEM | ENGINEERING, BIOMEDICAL | CLASSIFICATION | ALGORITHMS | NEUROSCIENCES | EXTRACTION | MOTOR IMAGERY | CORTICAL POTENTIALS | MOVEMENT | DYNAMICS | SELECTION | DESYNCHRONIZATION
Journal Article
Trends in Cognitive Sciences, ISSN 1364-6613, 2013, Volume 17, Issue 7, pp. 348 - 360
Journal Article
Annual review of neuroscience, ISSN 0147-006X, 7/2015, Volume 38, Issue 1, pp. 433 - 447
Journal Article
NeuroImage, ISSN 1053-8119, 09/2010, Volume 52, Issue 3, pp. 1059 - 1069
Journal Article