I'm an ML researcher and I'm very interested in doing some self-experimentation with training personalized BCI models. My thought is that if all I am the only p

I'm an ML researcher and I'm very interested in doing some self-experimentation with training personalized BCI models. My thought is that if all I am the only person using the models, it doesn't matter if the models overfit on my specific brain—in fact, that would be desirable! One application in particular I've thought a lot about is training a model to embed my brain activity in realtime and then using those embeddings to guide a diffusion model as it's generating an image—basically using the EEG to give the diffusion model live feedback during the denoising process. I know EEG isn't super spatially fine-grained, but I'm suspicious that I might be able to get some nifty results. Sort of like RLHF tuning, but on steroids!