Processing eeg data with twin neural networks

A system comprising one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform a method comprising:

• obtaining a plurality of electroencephalogram (EEG) signal measurements of a user, wherein each EEG signal measurement corresponds to one of a plurality of prompt types of an EEG task;
• generating, from the plurality of EEG signal measurements, a plurality of network inputs each corresponding to a different prompt type of the plurality of prompt types of the EEG task;
• processing the network inputs using a twin neural network to generate respective network outputs each corresponding to a different prompt type of the plurality of prompt types of the EEG task, the twin network processing each network input using a different subnetwork of a plurality of subnetworks of the twin neural network, wherein each of the plurality of subnetworks has a matching set of parameter values;
• and
• providing the network outputs to a downstream neural network to generate a mental health prediction for the user.

One or more non-transitory computer storage media encoded with computer program instructions that when executed by a plurality of computers cause the plurality of computers to perform operations comprising:

• obtaining a plurality of electroencephalogram (EEG) signal measurements of a user, wherein each EEG signal measurement corresponds to one of a plurality of prompt types of an EEG task;
• generating, from the plurality of EEG signal measurements, a plurality of network inputs each corresponding to a different prompt type of the plurality of prompt types of the EEG task;
• processing the network inputs using a twin neural network to generate respective network outputs each corresponding to a different prompt type of the plurality of prompt types of the EEG task, the twin network processing each network input using a different subnetwork of a plurality of subnetworks of the twin neural network, wherein each of the plurality of subnetworks has a matching set of parameter values;
• and
• providing the network outputs to a downstream neural network to generate a mental health prediction for the user.