CMC lab

Enthusiastic to present our latest results for you and get your feedback.

Are you #Coayne2026? Wanna know how we can have a common notion of state in mind and machines and find them in an unsupervised fashion with temporal embeddings based on dynamic similarity check @armanbehrad.bsky.social and @maxschwabe.bsky.social’s poster today, 3-001!

3-001, poster session 3 (Sat, Mar. 14, 13:15): @armanbehrad.bsky.social on unsupervised method to find behaviorally relevant internal states from data. We tested it w/ RNN & monkey data doing cognitive tasks & RNN trained with deep RL on a naturalistic plum tracking task.

3-008 poster session 3 (Sat, Mar. 14, 13:15) [in collaboration w/ Zahra Monfared's lab zmonfared.github.io/DSAIlab/]: Anima will present how can we capture dynamics of transient activities such as well-known sharp wave ripples (SWR) based principled tools from dynamical system.

Are you at #Coayne2026? Did you enjoy our 1-031 posters on Thursday? Then don’t miss our 3-001 and 3-008 today 😉

If you are interested in analyzing sharp wave ripples with tools from dynamical system check out poster 3-008 at #Cosyne2026!

Can't wait to see these results at #cosyne2026

Don't miss @maxschwabe.bsky.social's poster this evening (our master's student and presenter awardee 🎉) on decomposing RNN dynamics during naturalistic decision-making! It was a joint work with @armanbehrad.bsky.social and @roxana-zeraati.bsky.social!

Looking forward to learn more at #Cosyne2026, and get feedback on our work (1-031, 3-001, and 3-008 also see thread 👇).

If you are interested in decomposing neural dynamics to understand how RNNs solve naturalistic decision-making tasks, visit 1-031 today at 20:30 and sai hi to @maxschwabe.bsky.social!

It was a blast to be at #MBBS2026 for the first time and presenting the first #brainbody research of the @cmc-lab.bsky.social! Learn a lot in Berlin (thanks to the organizers ❤️) and heading to #cosyne2026 for the second round of excitement 🤩

At #MBBS2026, Shervin Safavi @neuroprinciplist.bsky.social @cmc-lab.bsky.social presents their in-silico findings of #oscillator dynamics in #brainbody #embodied agents, stressing the role of #homeostatic state in #RL! ⭐️

#MBB #MindBrainBody #neuroskyence

Also let us introduce our new PhD student, Claire @clairesturgill.bsky.social, who joined us just 2 months ago, and excited to understand neural and computational mechanisms of internal decision proceess! Let's welcome her to Cosyne community 😍

3-008 poster session 3 (Sat, Mar. 14, 13:15) [in collaboration w/ Zahra Monfared's lab zmonfared.github.io/DSAIlab/]: Anima will present how can we capture dynamics of transient activities such as well-known sharp wave ripples (SWR) based principled tools from dynamical system.

3-001, poster session 3 (Sat, Mar. 14, 13:15): @armanbehrad.bsky.social on unsupervised method to find behaviorally relevant internal states from data. We tested it w/ RNN & monkey data doing cognitive tasks & RNN trained with deep RL on a naturalistic plum tracking task.

1-031, Poster session 1 (Thu, Mar. 12, 20:30): @maxschwabe.bsky.social (a Cosyne presenter awardee 🎉, a MASTER student) will present how decomposing neural dynamics to intrinsic and input-driven modes can tell us how naturalistic decision computations are realized in the RNNs.

CMC lab is heading to #Cosyne2026, with 3 wonderful posters (1-031, 3-001, and 3-008 also see thread 👇), 2 new enthusiastic team members (@clairesturgill.bsky.social and @maxschwabe.bsky.social ), and tons of excitement for discussions and new ideas!

This is very cool. Much faster DSA. Although we still don't know what DSA findings actually mean about brains.

In our Learning Club @cmc-lab.bsky.social today (Feb 19, Thu, 2pm CET), @neurostrow.bsky.social will tell us about his recent paper (👇). Want to attend? Send an empty email to virtual talk-link-request@cmclab.org to get the link!

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

Built a domain-agnostic peak detection algorithm and now hunting for datasets with known/annotated peaks to test it on 👀
Any domain works—signals,bio,astro,finance, spectroscopy, etc.
Got data or know a benchmark? Would love pointers 🙌

#SignalProcessing #DataScience #TimeSeries #OpenData #Research

For the first Learning Club @cmc-lab.bsky.social in 2026, @marcusghosh.bsky.social on Jan 15, Thu, 2pm CET, will tell us about his recent paper (👇) [joint work w/ @neural-reckoning.org]. Want to attend, send an empty email to virtual talk-link-request@cmclab.org to get the link!

A diagram showing 128 neural network architectures.

How does the structure of a neural circuit shape its function?

@neuralreckoning.bsky.social & I explore this in our new preprint:

doi.org/10.1101/2025...

🤖🧠🧪

🧵1/9

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 😉

We made DSA up to 150 times faster 🤯 by introducing 3 new optimization objectives and solvers to speed up the DSA alignment step. Instead of enforcing exact orthogonality at every iteration, we use faster formulations that approximate or penalize the constraint.

If you need an efficient tool to compare neural dynamics across neuroscience and AI, look no further!

Thrilled to see the first preprint of the lab out 🤩 Check it out if you need to compare dynamics in your data and RNN (or any other combinations of dynamical systems)!

Wanna compare dynamics across different systems?
See our fast and furious method developed by us (@armanbehrad.bsky.social @mmdtaha.bsky.social, @neuroprinciplist.bsky.social) together with our wonderful collaborators!

You can already use our code: github.com/CMC-lab/fast...

This work couldn’t have happened without my wonderful collaborators: @neurostrow.bsky.social and Ila Fiete (master minds behind the original DSA), @mmdtaha.bsky.social, Christian Beste, and @neuroprinciplist.bsky.social ; and support from the @cmc-lab.bsky.social .

Just published in JOSS: 'TranCIT: Transient Causal Interaction Toolbox' https://doi.org/10.21105/joss.09302