phd student @HuthLab interested in language and brain-computer interfaces
Oct 2, 2022 • 9 tweets • 3 min read
this is generating a lot of discussion and we wanted to clear a few things up. first, we take privacy very seriously and reject the use of brain decoders for surveillance, interrogation, and other unethical applications
very excited to share our paper on reconstructing language from non-invasive brain recordings! we introduce a decoder that takes in fMRI recordings and generates continuous language descriptions of perceived speech, imagined speech, and possibly much more biorxiv.org/content/10.110…
it is generally thought that fMRI responses are too slow for language decoding. to overcome this low temporal resolution, we developed a bayesian decoder that combines state of the art language models and encoding models to generate rapidly changing word sequences (2/7)
