Before revision:  To accomplish this, we propose a multimodal approach that uses two different deep encoders, one for images and one for EEGs, trained in a siamese configuration  for learning a joint manifold that maximizes a compatibility measure between visual features and brain representation.
After revision:  To accomplish this, we propose a multimodal approach that uses deep image and EEG encoders, trained in a siamese configuration for learning a joint manifold that maximizes a compatibility measure between visual features and brain representation.