Arman Behrad

Congratulations. 🎊

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

If you are @ #BernsteinConference we have 4 posters, thread👇
P II 25, Tue 18–19:30: abstracts.g-node.org/conference/B...
P IV 5, Wed 14-15:30: abstracts.g-node.org/conference/B...
P II 25, Tue 18-19:30: abstracts.g-node.org/conference/B...
P I 11, Tue 16:30-18: abstracts.g-node.org/conference/B...

(4/4) How about a simulation of more naturalistic setting?

(3/4)
Next: biological networks.
We applied UNITE to V4 activity (PSTH) from a monkey doing a visual cognitive task. 🐒👁️

(2/4)
First test: an RNN solving a cognitive task.
UNITE identify state transitions without supervision. 🔍

How can we identify state transitions from neural data — in an unsupervised way? (1/4)
👉 Check out UNITE: Universal Neural-State Identification through Temporal Embeddings
📅 Oct 1 | #BernsteinConference
📍 Poster Session III, #14
abstracts.g-node.org/conference/B...

(4/4)
Finally, we highlight cases where FastDSA outperforms other dynamical similarity metrics—while remaining robust to noise.

(3/4)
Next, we present experiments showing why geometrical methods fail.
Both DSA and FastDSA achieve similar results—but FastDSA is 10–15× faster.

(2/4)
We first outline the general structure of the algorithm.

Curious about similarity metrics?
What if we could capture dynamical similarity that’s noise-robust and computationally efficient? (1/4)
Check out Fast Dynamical Similarity Analysis
📅 30 Sept | #BernsteinConference
📍 Poster Session I, #11

abstracts.g-node.org/conference/B...

(2/4)
We first outline the general structure of the algorithm.

On the Thursday's morning we continue with @colehurwitz.bsky.social, @engeltatiana.bsky.social, @apalmigiano.bsky.social, @acnavasolive.bsky.social, and I (4/4)

We continue with @memming.bsky.social, Justus Kautz, @maryamshanechi.bsky.social (3/4)

On the first day, we start with @neuralnestbird.bsky.social, @mehranahmadlou.bsky.social, @vmsruetten.bsky.social (2/4)

What defines a brain state? 🧠
If you are also interested in answering this question, join us in "Toward a joint definition of neural-behavioral states", #BernsteinConference full-day workshop, Co-orgnized by @neuroprinciplist.bsky.social and I. (1/4)

On the Thursday's morning we continue with @colehurwitz.bsky.social, @engeltatiana.bsky.social, @apalmigiano.bsky.social, @acnavasolive.bsky.social, and I. (4/4)

We continue with @memming.bsky.social, Justus Kautz, @maryamshanechi.bsky.social (2/4)

On the first day, we start with @neuralnestbird.bsky.social, @mehranahmadlou.bsky.social, @vmsruetten.bsky.social.

🚀 Curious about neural-behavioral states?
Join us at the Bernstein Satellite Workshop (Monday, Sep 29) and explore cutting-edge ideas with us!
👉 bernstein-network.de/bernstein-co...

In our Learning Club @cmc-lab.bsky.social today (Aug 18, Thu, 2pm CET), Samuel Liebana will tell us about his paper (www.cell.com/cell/fulltex... [joint work w/ @saxelab.bsky.social & @laklab.bsky.social]. Want to attend, send an empty email to virtual-talk-link-request@cmclab.org to get the link!

Still curious about uncovering internal state — completely unsupervised? We start in 30 minutes.

#CCN2025, Poster C160: We present MoDSA – a fully unsupervised method for identifying behaviorally relevant neural states in both biological & artificial systems.

Looking forward to seeing you there!

Fellow Scientists! Heading to Amsterdam for #CCN2025 and thrilled to see you all there!

We are heading to #CCN2025 in Amsterdam with 3 awesome posters! Thread below 👇

B71, Wed, 1pm-4pm: 2025.ccneuro.org/poster/?id=8...
B90, Wed, 1pm-4pm: 2025.ccneuro.org/poster/?id=o...
C169, Fri, 2pm-5pm: 2025.ccneuro.org/poster/?id=l...

New paper out! We show that individual dopaminergic neurons in Drosophila larvae can drive both learning and movement — two key dopamine functions. Advanced usage of Random Forest for multivariate data analysis. 🧠🪰 #Neuroscience#MachineLearning ##Dopamine#Drosophila
elifesciences.org/reviewed-pre...

If you are interested in joining @cmc-lab.bsky.social, the application deadline is extended till May 30!

🚀 Today (Mar 6, 2 PM EST) at our lab’s Learning Club, we’re excited to have Renate Krause,
presenting her fascinating paper: 🔗 proceedings.neurips.cc/paper_files/...

If you’re as interested as we are, feel free to message me or @neuroprinciplist.bsky.social
for the link! 📩

Re-posting is appreciated: We have a fully funded PhD position in CMC lab @cmc-lab.bsky.social (at @tudresden_de). You can use forms.gle/qiAv5NZ871kv... to send your application and find more information. Deadline is April 30. Find more about CMC lab: cmclab.org and email me if you have questions.

Happy to share my second paper with Peter Dayan on our decision-theoretic approach to perceptual multistability (see the tweeprint of the first paper here x.com/neuroprincip...).

Paper:
A decision-theoretic model of multistability biorxiv.org/content/10.1...