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Mitchell Ostrow

@neurostrow.bsky.social
264 followers 295 following 52 posts

PhD Student at MIT Brain and Cognitive Sciences studying Computational Neuroscience / ML. Prev Yale Neuro/Stats, Meta Neuromotor Interfaces

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Reposted by Mitchell Ostrow
Mitchell Ostrow @neurostrow.bsky.social · 21/09/2026
Very excited to announce our most recent paper! TL;DR we made our prior work on comparing dynamics (DSA) much faster and generalizable to diverse data domains and problem settings (1/)
biorxiv.org
A metric for comparing complex systems by their dynamics
Comparisons are fundamental to science: experiment against model, one organism against another, a system against itself across time. Because many systems, from brains to climate, are characterized by ...
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Reposted by Mitchell Ostrow
Will Redman @wtredman.bsky.social · 21/09/2026
DSAmaxxing for comparing dynamical systems! Some really great work from @neurostrow.bsky.social on advancing DSA to be able to shed light on complex, noisy neural dynamics AND using DSA as a regularizer to discover novel RNN solutions Really lucky to have been included and involved in this!
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Reposted by Mitchell Ostrow
Will Redman @wtredman.bsky.social · 21/09/2026
∂DSA finds lots of RNN solutions to the same integration task: Line attractors ✅ Feedforward chains ✅ Oscillations ✅ Unstable dynamics ✅
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Mitchell Ostrow @neurostrow.bsky.social · 21/09/2026
Very excited to announce our most recent paper! TL;DR we made our prior work on comparing dynamics (DSA) much faster and generalizable to diverse data domains and problem settings (1/)
biorxiv.org
A metric for comparing complex systems by their dynamics
Comparisons are fundamental to science: experiment against model, one organism against another, a system against itself across time. Because many systems, from brains to climate, are characterized by ...
16618
Reposted by Mitchell Ostrow
Kempner Institute at Harvard University @kempnerinstitute.bsky.social · 09/03/2026
NEW from the #KempnerInstitute: InputDSA, a tool to separate intrinsic dynamics from input-driven effects—enabling accurate, efficient comparisons of complex systems with external inputs. Read the #DeeperLearning blog post by @annhuang42.bsky.social & @kanakarajanphd.bsky.social: bit.ly/4bkrvy9
bit.ly
InputDSA: Demixing then comparing recurrent and externally driven dynamics in complex systems - Kempner Institute
We explored how to measure the similarity between two complex systems when they are driven by external inputs, like biological neural circuits or reinforcement learning agents. Our novel method, calle...
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Reposted by Mitchell Ostrow
David G. Clark @david-g-clark.bsky.social · 09/03/2026
Very clear & interesting blog post from @annhuang42.bsky.social and @kanakarajanphd.bsky.social on their paper!
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Reposted by Mitchell Ostrow
Matt Perich @mattperich.bsky.social · 10/03/2026
To assess conserved neural computations, we tested the similarity of neural dynamics with Dynamical Similarity Analysis, an awesome technique for comparing the “rules” of two dynamical systems (arxiv.org/abs/2306.10168). Low dynamical distance, here, implies similar computations. 6/18
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Mitchell Ostrow @neurostrow.bsky.social · 23/04/2026
Go talk to Ann about our method! I won’t be there :(
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Reposted by Mitchell Ostrow
Kanaka Rajan @kanakarajanphd.bsky.social · 11/03/2026
📍 #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
Rajan Lab at Cosyne
Thurs., March 12 20:30-23:30 Pavilion 1 Poster Session 1
#1-059: Active electrosensing and communication in MARL-trained weakly electric fish foraging agents
Sonja Johnson-Yu*, Satpreet Singh*, Zhouyang Lu, Aaron Walsman, Federico Pedraja, Denis Turcu, Pratyusha Sharma, Naomi Saphra, Nathaniel Sawtell, Kanaka Rajan
*co-first authors
Sat., March 14 11:45-12:00 Auditorium I Session 7: Dynamical Inference
InputDSA: Demixing then comparing recurrent and externally driven dynamics
Ann Huang*, Mitchell Ostrow*, Satpreet Singh, Leo Kozachkov, Ila Fiete, Kanaka Rajan
*co-first authors
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Mitchell Ostrow @neurostrow.bsky.social · 26/01/2026
Accepted to ICLR! see you in 🇧🇷
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Reposted by Mitchell Ostrow
Arman Behrad @armanbehrad.bsky.social · 08/01/2026
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
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Arman Behrad @armanbehrad.bsky.social · 08/01/2026
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 😉
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Victor Geadah @vgeadah.bsky.social · 03/12/2025
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
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Adam J. Eisen @adamjeisen.bsky.social · 26/11/2025
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)
openreview.net
Characterizing control between interacting subsystems with deep...
Biological function arises through the dynamical interactions of multiple subsystems, including those between brain areas, within gene regulatory networks, and more. A common approach to...
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Mitchell Ostrow @neurostrow.bsky.social · 28/11/2025
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 🧠💻
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Adam J. Eisen @adamjeisen.bsky.social · 26/11/2025
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.🧵⬇️
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Mitchell Ostrow @neurostrow.bsky.social · 19/11/2025
Controversial take: our ICLR reviews actually helped make our paper better
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Mitchell Ostrow @neurostrow.bsky.social · 10/11/2025
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
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Sam Cheyette @samcheyette.bsky.social · 14/10/2025
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...
osf.io
OSF
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