Mitchell Ostrow
PhD Student at MIT Brain and Cognitive Sciences studying Computational Neuroscience / ML. Prev Yale Neuro/Stats, Meta Neuromotor Interfaces
- Accepted to ICLR! see you in 🇧🇷
- 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
- Reposted by Mitchell OstrowThe 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
- Reposted by Mitchell OstrowWanna 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 😉
- Reposted by Mitchell OstrowAt #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
- Reposted by Mitchell Ostrow13/ 😀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 🧠💻
- 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!
- Reposted by Mitchell OstrowHow 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
- We introduce InputDSA, a method that builds on our prior work, Dynamical Similarity Analysis (DSA) to quantitatively compare input-drive dynamical systems! Especially relevant for neuroscience, but it can be applied to any type of time series data ! 🧠 💻 🌴 💨 💵 🔥 (2/)
- The basic idea of DSA: approximate your dynamics so that comparison is tractable. This is backed by Koopman Operator Theory and relates to work done by @wtredman.bsky.social and Igor Mezic. InputDSA naturally extends DSA—we can compare intrinsic dynamics, the effect of input, or both jointly! (3/)
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View full threadThanks again to all my amazing collaborators, especially my co-first author @annhuang42.bsky.social !
- Reposted by Mitchell OstrowVery 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...
