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by @danabra.mov
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by @danabra.mov
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by @jimpick.com
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by @atsui.org
+ new component
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Check out our new paper at #ICLR2025, where we show that multi-task neural decoding is both possible and beneficial. As well, the latents of a model trained only on neural activity capture information about brain regions and cell-types. Step-by-step, we're gonna scale up folks! 🧠📈 🧪 #NeuroAI
Apr 25, 2025
Blake Richards
Scaling models across multiple animals was a major step toward building neuro-foundation models; the next frontier is enabling multi-task decoding to expand the scope of training data we can leverage. Excited to share our #ICLR2025 Spotlight paper introducing POYO+ 🧠 poyo-plus.github.io 🧵
Apr 25, 2025
POYO+: Multi-session, multi-task neural decoding from distinct cell-types and brain regions
poyo-plus.github.io
POYO+
Mehdi Azabou