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Implementing DeepNet Architectures for EEG Signal-Based Depression Recognition

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An evaluation of methods for implementing DeepNet networks that process multichannel EEG data for detecting depressive states. The resource presents a usable strategy for employing deep learning methods in neuropsychiatric testing. https://scholarscolab.com/product/multichannel-eeg-deepnet-for-depression-recognition/

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