Go talk to Ann about our method! I won’t be there :(

Ann Huang@annhuang42.bsky.social · 3mo ago

[ #ICLR2026 ] How do we know if two systems are performing the same computation when they are constantly driven by different external inputs? 🧠🤖 I’ll be presenting our novel method InputDSA tomorrow April 23 (2:15pm-4:45pm EDT in Pavilion 3 P3-#1614)📍 Come swing by our poster! I’d love to chat!

📍 #Cosyne26 bound? Thrilled to have PhD students @annhuang42.bsky.social and Sonja Johnson-Yu representing the Rajan Lab this year. Shout out to co-first authors @satpreetsingh.bsky.social and @neurostrow.bsky.social. Catch their sessions to learn about our newest work 🧠🤖 #NeuroAI #CompSci

Accepted to ICLR! see you in 🇧🇷

Mitchell Ostrow@neurostrow.bsky.social · 9mo ago

Our next paper on comparing dynamical systems (with special interest to artificial and biological neural networks) is out!! Joint work with @annhuang42.bsky.social , as well as @satpreetsingh.bsky.social , @leokoz8.bsky.social , Ila Fiete, and @kanakarajanphd.bsky.social : arxiv.org/pdf/2510.25943

The original dynamic similarity analysis (DSA) developed by @neurostrow.bsky.social and Ila Fiete is a powerful method to compare trajectories of (nonlinear) neural dynamics between different datasets and models: arxiv.org/abs/2306.10168

Wanna compare dynamics across neural data, RNNs, or dynamical systems? We got a fast and furious method🏎️ The 1st preprint of my PhD 🥳 fast dynamical similarity analysis (fastDSA): 📜: arxiv.org/abs/2511.22828 💻: github.com/CMC-lab/fast... I’ll be @cosynemeeting.bsky.social - happy to chat 😉

At #NeurIPS2025! 🎉 Excited to present Conditionally Linear Dynamical Systems (CLDS). We leverage the dependence of neural dynamics on task covariates to yield an interpretable, flexible model of dynamics. Come meet and check it out! 📍: Poster #2209, Hall C,D,E on Thu Dec 4, 11 am–2 pm, PST. 🧵/6

13/ 😀Feel free to reach out to discuss this work, or the application of it to your field of study. Or come swing by our poster at #NeurIPS2025. We’d love to chat! 📄 Paper: openreview.net/forum?id=I82... 💾 Code: github.com/adamjeisen/J... 📍 Poster: Thu 4 Dec 11am - 2pm PST (#2111)

Really proud of this project with @adamjeisen.bsky.social - Jacobian estimation is a challenging and generic problem in dynamics, and I’m excited for all the future use cases of our method! See you at NeurIPS 🧠💻

Adam J. Eisen@adamjeisen.bsky.social · 8mo ago

12/🙏🏻Thanks for following along. And a HUGE thanks to @neurostrow.bsky.social @sarthakc.bsky.social @leokoz8.bsky.social and my advisors @earlkmiller.bsky.social + Ila Fiete for being fantastic collaborators on this project!

How do brain areas control each other? 🧠🎛️ ✨In our NeurIPS 2025 Spotlight paper, we introduce a data-driven framework to answer this question using deep learning, nonlinear control, and differential geometry.🧵⬇️

Controversial take: our ICLR reviews actually helped make our paper better

Our next paper on comparing dynamical systems (with special interest to artificial and biological neural networks) is out!! Joint work with @annhuang42.bsky.social , as well as @satpreetsingh.bsky.social , @leokoz8.bsky.social , Ila Fiete, and @kanakarajanphd.bsky.social : arxiv.org/pdf/2510.25943

Very excited to share a new preprint that’s been brewing for a long time! This work was led by the exceptional @traceym.bsky.social, and made possible by a developmental + comparative + computational dream team. osf.io/preprints/ps...