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🚨 Super excited to share our latest work:
RABBiT: a foundation model for speech- and language-evoked brain activity.** 🧠🎧
W/ @mtoneva1
One model enables:
✅ accurate zero-shot brain prediction
✅ efficient few-shot adaptation with only 5-10 mins of subject data
✅ convenient in silico neuroscience experiments
and it’s so lightweight that it enables real-time, in-browser inference (feel free to try for yourself!)
Website: bridge-ai-neuro.github.io/rabbit/
Here's the story. 🧵👇View quoted post on X
1/5 Over a decade of comparing deep neural networks to the human brain—but what have we actually learned? Our new @TrendsCognSci Feature Review synthesizes a decade of brain–DNN comparisons, asking what they reveal about brain function across vision and language.View quoted post on X
These models were not built to explain the brain. But treating them as model organisms that we can perturb and evolve will move us closer to truly understanding the brain’s mechanics, writes @mtoneva1.View quoted post on X
thetransmitter.org/artificial-int…
