Browsing: Learns

Researchers have designed a deep learning model that clusters brief, recurring patterns of electrical brain activity — EEG microstates — while keeping the spatial information of the scalp topographies intact. The model, called Conv-VaDE, combines a convolutional variational autoencoder with a Gaussian mixture model and was tested on resting-state EEG recordings from 203 healthy adults…