Eeg signal representations using auto-encoders

A system comprising:

• at least one processor;
• and a data store coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to perform operations comprising:
• obtaining, from one or more electrodes, electroencephalographic (EEG) signals from a user;
• generating signal vectors from the EEG signals, each signal vector representing one channel of EEG signals;
• providing the signal vectors as input data to a variational autoencoder (VAE), wherein the VAE generates a latent representation of the input data, the latent representation having lower dimensionality than the signal vectors, and reconstructs the latent representation into an event related potential (ERP) of the corresponding EEG signal;
• and
• providing, for display to a user, a graphical representation of the ERPs

A non-transitory computer readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• obtaining, from one or more electrodes, electroencephalographic (EEG) signals from a user;
• generating signal vectors from the EEG signals, each signal vector representing one channel of EEG signals;
• providing the signal vectors as input data to a variational autoencoder (VAE), wherein the VAE generates a latent representation of the input data, the latent representation having lower dimensionality than the signal vectors, and reconstructs the latent representation into an event related potential (ERP) of the corresponding EEG signal;
• and
• providing, for display to a user, a graphical representation of the ERPs.