Impressive results from
@alephneuro producing rich ultrasound images using contrastive bubbles in arteries. (previous SOTA was 25 microns with ultrasound and contrastive bubbles [1])
It's quite amazing how prescient and remarkable MindEye[2] has been in laying the groundwork for non-invasive neural decoding, spawning many of the most interesting works in the field.
In 2023,
@abanerjee99 and
@humanscotti had the unique foresight to use large fMRI datasets and train deep learning models to decode what a person was looking at, purely from neural signals.
The consensus in the field at this time was that the only way to do meaningful decoding is via drilling a hole inside the skull and putting a chip inside the brain, which, if it had its way, would be an extremely morbid future for humanity.
When we first saw the MindEye reconstructions, it was clear we would finally be able to build a cap that could decode thoughts and bring telepathy to humanity at scale. That's also exactly when
@abanerjee99 and I decided to build
@sabi together.
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1. Transcranial ultrafast ultrasound localization microscopy of brain vasculature in patients
2. Reconstructing the Mind’s Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors