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Happy to share our paper on multimodal learning of low-dimensional latent dynamics, published in J. of Neural Eng.! iopscience.iop.org/article/10.108… 👇 Summary 🧵 Many thanks to my co-authors Maryam Shanechi, Omid Sani, Bijan Pesaran.

Congratulations to Maryam Shanechi for her election as a Fellow of the American Institute for Medical and Biological Engineering AIMBE ! Shanechi is the Founding Director of the USC Center for Neurotechnology, the Alexander A. Sawchuk Chair, and Professor in Electrical and

New in our #ICLR2025 spotlight ✨, we introduce PGPCA, a Probabilistic Geometric method that enables modeling and dimensionality reduction for data distributed around nonlinear manifolds. We also show PGPCA’s application to brain data. 👏 Han-Lin Hsieh Paper, Code, 🧵⬇️

🎉 New in #ICLR2025, we present BRAID for input-driven nonlinear dynamical modeling of neural-behavioral data. BRAID disentangles the intrinsic dynamics shared between modalities from input dynamics and modality-specific dynamics. 👏Parsa Vahidi Omid Sani 🧵, Paper & Code ⬇️

Today, we present our #ICLR2025 spotlight ✨! It develops PGPCA, a Probabilistic Geometric method for modeling & dimensionality reduction of data distributed around nonlinear manifolds, with application to brain data. 📍 Poster Session 1, Hall 3 + Hall 2B, #68 | Thu 10 AM 🧵⬇️

Today, we present our second #ICLR2025 paper that develops BRAID for input-driven nonlinear dynamical modeling of neural-behavioral data and learning intrinsic dynamics. See Parsa Vahidi present BRAID at: 📍Poster Session 5, Hall 3+Hall 2B #57 | Sat 10AM ICLR 2026 🧵⬇️