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ConvDip: CNN for EEG Source Imaging by Muhammad Awais Bin Altaf is a document available to read on EtoBox.

What is ConvDip: CNN for EEG Source Imaging about?

1. The document presents ConvDip, a convolutional neural network (CNN) architecture for solving the EEG inverse problem of localizing neural sources from scalp EEG data. 2. ConvDip was trained on simulated EEG data and outperformed state-of-the-art methods by producing more accurate inverse solutions, being more flexible to varying numbers of sources, and generating fewer incorrect "ghost" sources. 3. The trained ConvDip network can localize neural sources from real human EEG recordings in under 40 mill

Author

Muhammad Awais Bin Altaf

Language

EN