Whether you are a student, an experienced neuroscientist, a computer scientist, or a curious individual, this book is designed to: 1) provide you with an overview of the fundamentals of neural oscillations (EEG or brainwaves), and neural networks (e.g. deep learning), and 2) cover the top deep neural network architectures that work best with neural oscillations/EEG data, top EEG classification tasks that work best with neural networks, and top EEG signals that work best as input data for neural networks. The main aim of this book is to provide you with the fundamentals needed to get you started. Detailed technical and programming specifics of these disciplines are beyond the scope of this book.
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