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Ever wondered whether the dynamics learned by LFADS-like models could help us understand neural computation? Chethan Pandarinath,Andrew Sedler, Jonathan McCart, and I developed ODIN to robustly recover latent dynamical features through the power of injectivity! 📜 1/ arxiv.org/abs/2309.06402…

If you are interested in estimating neural dynamics from population recordings, come to our poster Tuesday afternoon to hear more about how injectivity can improve the interpretability of your models! #SfN23 PSTR445.20 / XX40

Are you a postbac interested in neural engineering / BCIs? 🧠🤖🗣️ Come join our team!! Work directly with our amazing BCI participants. Great exposure for prospective grad/med school applicants! snel.ai/positions

Stop by NeurReps 2023 tomorrow morning to hear about how ODIN can help you accurately infer neural latent dynamics from neural recordings! Hint: combine low-dimensional dynamical models with injective, nonlinear readouts!

Cosyne Workshop Alert! On Tuesday March 5th, Chethan Pandarinath and I are proud to bring you: Understanding Neural Computation using Task-trained and Data-trained Networks. youtu.be/bJ0stLORdgQ