Advances in Neural Engineering Volume 1

1. Framework for segmentation, optimization, and recognition of multivariate brain tumors. 2. The Neural Circuitry of PTSD - An RDOC Approach 3. CNN-based Artifact Recognition from Independent Components of EEG Signals 4. Deep multimodal representation learning for non-invasive neural speech decoding 5. Neural signals processing using deep learning for diagnosis of cognitive disorders 6. Brain tumor recognition using Semi Supervised Generative Adversarial Network 7. Multivariate adaptive signal decomposition techniques and their applications to EEG signal processing: An introduction 8. Split Learning for Human Activity Recognition 9. Machine Learning Approaches for Epilepsy Analysis in Current Clinical Trials 10. Brainwave and Head Motion Control of a Smart Home for Disabled People 11. Blind source separation methods for motor imagery-based brain-computer interfaces 12. Advancing neural engineering: hierarchical control strategies with human-centered focus for hand prosthetics 13. Advances in non-invasive EEG-Based brain-computer interfaces: signal acquisition, processing, emerging approaches, and applications

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• Processamento de sinais

<p>Neural Engineering; Brain-Computer Interface; Signal Processing; Neurocircuitry; Data Analysis; Neural Networks; EEG; Neuroprosthetics</p>