the last two days i learned: the common types of brain responses in brain-computer interfaces, an overview of generating new proteins using language models (ProGen paper), how to go from DNA to proteins
[ROUND 1] the last two days i learned: how to integrate external sensory input into the brain, how the brain can control prosthetic arms, how to extract neural activity, completed a language model base for generating new proteins (will add more) + some biology
the last four days i learned: 1/6 the decoder model for neural activity, how to handle neural representation change over time (will share notes after finishing it), more on brain responses uses to control a BCI, and some biology
the last three days i learned: wrote dataset classes for character and sentence neural activity, techniques for stimulating neurons , what can be achieved with bidirectional BCI (I’m looking forward to building one ), how to create synthetic neural data (next, I will implement it), some biology
Update: I’m considering allocating 75% of my time to AI and 25% to non-AI (science, including this thread). So you will see my progress on this thread slowing down. This isn’t fixed, I am still figuring out how I should allocate my time…
Hey @xariusdrake!! Interesting work here. My research in grad school will likely be focused on these topics so I’m curious to see what I can learn on here. Would you be open to have short calls on Discord (like an informal study group), so that we can discuss these papers together? (I’m in the GMT+5:30 timezone btw).