vlawhern/arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
This project provides pre-built computational models for analyzing brainwave (EEG) signals. It helps researchers classify different brain states or responses based on raw EEG data, making it easier to compare results and conduct reproducible studies. Neuroscientists, cognitive researchers, and BCI (Brain-Computer Interface) developers would find this useful for processing and interpreting EEG data.
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Use this if you are a researcher working with EEG or MEG data and need to apply established deep learning models for signal classification or explore feature relevance.
Not ideal if you are looking for a plug-and-play application for non-technical users, or if your primary interest is not in deep learning-based EEG analysis.
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May 02, 2022
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