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A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data.

, , , , , and . Advances in Neural Networks, volume 37 of Smart Innovation, Systems and Technologies, Springer, (2015)

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Dynamic Modeling of Heart Dipole Vector for the ECG and VCG Generation., , , and . WIRN, volume 204 of Frontiers in Artificial Intelligence and Applications, page 281-290. IOS Press, (2009)PCA-ICA for automatic identification of critical events in continuous coma-EEG monitoring., , and . Biomed. Signal Process. Control., 4 (3): 229-235 (2009)A novel explainable machine learning approach for EEG-based brain-computer interface systems., , , and . Neural Comput. Appl., 34 (14): 11347-11360 (2022)Efficient Deep Neural Networks for Classification of Alzheimer's Disease and Mild Cognitive Impairment from Scalp EEG Recordings., , , , and . Cogn. Comput., 14 (4): 1247-1268 (2022)A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation., , , , , , and . Cogn. Comput., 14 (6): 2203-2211 (2022)Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism., , , , , and . KES (3), volume 4694 of Lecture Notes in Computer Science, page 414-421. Springer, (2007)Visualization of the Short Term Maximum Lyapunov Exponent Topography in the Epileptic Brain., , and . EMBC, page 4257-4260. IEEE, (2006)A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia., , , and . IJCNN, page 1-8. IEEE, (2020)eLORETA Active Source Reconstruction Applied to HD-EEG in Alzheimer's Disease., , , , , , and . IIH-MSP (1), volume 81 of Smart Innovation, Systems and Technologies, page 575-583. Springer, (2017)A complex network-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy., , , , and . RTSI, page 1-6. IEEE, (2017)