Using GANs for 'brain reading' - MindCodec

The current wave of generative machine learning models for image synthesis are impressively powerful. The Generative Adversarial Networks (GANs) algorithm in particular has become popular due to resulting in near photo-realistic images. While research into GANs is scientifically and aesthetically intriguing, what is still quite unclear is which real-world tasks are out there where powerful generative models could turn out to be indispensable. Among those mentioned in research discussions one area is often missed, likely because for most of us it sounds like an obscure parascience: Reconstructing what is happening in a human visual system – what someone is seeing or imagining. This is a small, but real neuroscience research area, and you can confidently call it a variant of brain reading.