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Applying CNN to Feature Extraction from EEG Signals.

Journal: Sensors (Basel, Switzerland)

Article Title: Exploring Convolutional Neural Network Architectures for EEG Feature Extraction

doi: 10.3390/s24030877

Figure Lengend Snippet: Applying CNN to Feature Extraction from EEG Signals.

Article Snippet: Different activation functions are employed in fully connected layers (FC), with the Rectified Linear Unit (ReLU) activation function being a common choice for neural network layers, especially for tasks in the frequency domain and spatial problem-solving, such as those addressed by Softmax.

Techniques: Extraction, Activation Assay, Biomarker Discovery, Blocking Assay, Sampling, Modification