Arman Behrad

Arman Behrad

@armanbehrad.bsky.social

Computational Neuroscience | PhD. candidate at @cmc-lab.bsky.social | Fine Arts, Music, Longevity

198 followers244 following49 posts

Tomorrow in our CMC Unit Learning Club (LC) series, weโ€™re excited to welcome @neurostrow.bsky.social, who will present his latest advances in DSA! ๐Ÿ“… Oct 15 | 2 PM CEST Want to join? Simply send a blank email to virtual talk-link-request@cmclab.org to receive the meeting link!

Mitchell Ostrow@neurostrow.bsky.social

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/)

Curious what happens when we apply fastDSA across a pool of RNNs and IBL brain-wide data? Could a new perspective on how underlying neural dynamics change help us better understand neural data? Join me and find out. #BernsteinConference

CMC Unit@cmc-unit.bsky.social

II-56 (Tue, Sep. 29, 18:00): @armanbehrad.bsky.social will tell you about a fast and furious method๐ŸŽ๏ธ for dynamical similarity analysis: bsky.app/profile/arma... abstracts.g-node.org/conference/B...

Would be really happy to see you there! Weโ€™ll be presenting new findings from UNITE, along with some exciting methodological advances. #BernsteinConference

CMC Unit@cmc-unit.bsky.social

II-55 (Tue, Sep. 29, 18:00): @armanbehrad on an 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. abstracts.g-node.org/conference/B...

Arman Behrad reposted

We, the Natural Decision Making Group and the Embodied Decision Making Group, are joining forces to establish the CMC Unit, a joint research unit to uncover computational, biological, and ecological principles underlying adaptive decision-making. You can read more about us here: cmc-unit.org

Arman Behrad reposted

I'm very excited to present a poster (C-18, Wednesday 9:30) at #CCN2026, describing neural signatures of internal decision-making in the monkey vlPFC. If you want to learn more about how sensory value influences percept selection, come check it out!

Iโ€™ll be leading a hands-on workshop on fastDSA, where weโ€™ll explore scalable dynamical similarity analysis for neural and artificial systems. Curious about fastDSA, Check the short introduction here: bsky.app/profile/arma... #IMPRSCoNI #SummerSchool #Neuroscience #ComputationalNeuroscience

IMPRS CoNI@imprsconi.bsky.social

Welcome to the 2nd #IMPRSCoNI #SummerSchool in #Leipzig! The event kicked off yesterday with welcoming words by @gesahartwigsen.bsky.social, Deputy Spokesperson of IMPRS CoNI & Professor of Cognitive and Biological Psychology at @unileipzig.bsky.social. We wish everyone an inspiring Summer School!๐Ÿ˜๐Ÿ˜

Arman Behrad reposted

Why did RNNs fail to learn long-term dependencies? What if we added one more modification, maybe now? It turns out we can give a pretty broad, analytical answer! See the attached paper for a rigorous treatment using centre manifolds, low-rank RNNs, and dynamical systems theory! go.aps.org/4fXWEeF

go.aps.orgGhost Mechanism: An Analytical Model of Abrupt Learning in Recurrent NetworksThis study establishes the ghost mechanism as an underlying mechanism for abrupt learning, whereby the recurrent neural network develops ghost points---transient dynamical bottlenecks---and identifies...
Physical Review X@physrevx.aps.org

Why do neural networks undergo abrupt learning after training on memory tasks? New research traces this phenomenon to a โ€œghostingโ€ mechanism that locks the system into a no-learning zone and proposes two practical fixes to address these pitfalls. ๐Ÿ“ https://go.aps.org/4fXWEeF

Arman Behrad reposted

1/11 Happy to share our TICS paper on using the flexibility of one of the most basic cognitive functions, perception, to understand one of the most complex cognitive dysfunctions, psychiatric conditions (also my first formal work in computational psychiatry ๐ŸŽ‰) ๐Ÿ“„: www.cell.com/trends/cogni... ๐Ÿงต : ๐Ÿ‘‡

cell.comPerceptual multistability: a multifaceted window into brain dysfunctionsPerceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics a...

Arman Behrad reposted

We have 2 open PhD positions @mpicybernetics.bsky.social, if youโ€™re interested in reinforcement learning, recurrent neural networks and analyses of neural & behavioral data from novel, cross-species foraging experiments, thereโ€™s still time to apply: nextcloud.tuebingen.mpg.de/index.php/s/...

๐Ÿ’ผ Have you taken a look at our #CompNeuro job pool lately? There are many exciting positions with upcoming deadlines! ๐Ÿ‘‰ bit.ly/2XoVAKB #ScienceJobs #BernsteinNetwork #AcademicSky

Arman Behrad reposted

Many thanks to @klaus-tschira-stiftung.de and @gso-forresearchers.bsky.social for this wonderful opportunity to study the mechanisms underlying naturalistic decision processes in the context of foraging behavior! Weโ€™ll also soon have openings for PhD students, stay tuned!

๐ŸŽ‰ @roxana-zeraati.bsky.social has been awarded the @klaus-tschira-stiftung.de Boost Fund! Moving beyond short-term trials to naturalistic scenarios: Roxana will explore how we decide in changing environments. ๐Ÿ”— www.kyb.tuebingen.mpg.de/zeraati-tsch... #DecisionMaking #ComputationalNeuroscience

I had the chance to attend it in person. It's really amazing, highly recommend.

Alex Williams@itsneuronal.bsky.social

Cosyne invited me to give a long tutorial (4 hours!) on methods to quantify differences high-d neural recordings across animals, brain regions, deep neural nets, etc. The recording is up on youtube. I hope it inspires more research on this fundamental topic! www.youtube.com/watch?v=n44x...

Arman Behrad reposted

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

Shervin Safavi@neuroprinciplist.bsky.social

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.socialโ€™s poster today, 3-001!

Arman Behrad reposted

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.socialโ€™s poster today, 3-001!

CMC Unit@cmc-unit.bsky.social

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.

Arman Behrad reposted

Replying to @cmc-unit.bsky.social

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.

Arman Behrad reposted

Replying to @cmc-unit.bsky.social

1-031, Poster session 1 (Thu, Mar. 12, 20:30): @maxschwabe.bsky.social (a Cosyne presenter awardee ๐ŸŽ‰, 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.

Built a domain-agnostic peak detection algorithm and now hunting for datasets with known/annotated peaks to test it on ๐Ÿ‘€ Any domain worksโ€”signals,bio,astro,finance, spectroscopy, etc. Got data or know a benchmark? Would love pointers ๐Ÿ™Œ #SignalProcessing #DataScience #TimeSeries #OpenData #Research

Arman Behrad reposted

This book is a wonderful, synthetic and richly illustrated journey through the natural history of the vertebrate brain ๐Ÿคฉ A big thank you to the authors ๐Ÿ™ "A major theme in the evolution of the telencephalon has been the emergence of novel pathways... 1/2

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We also built 2 simple nonlinear systems (A, B) with identical eigenvalues but different eigenvectors. As expected, Wasserstein-based kwDSA struggles to separate them. All 3 fastDSA variants reliably distinguish A vs B (represented w/ MDS).

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Next we tested sensitivity to dynamical change by morphing a ring attractor into a line attractor (same model). fastDSA distances jump at the ringโ†”line transition, capturing topology changeโ€”unlike Procrustesโ€”while being way faster than DSA.

Under strong noise, we repeat the transformation tests (Plus kernelDMD+Wasserstein distance (kwDSA)). kwDSA highlights a key pitfall: relying mainly on eigenvalues (ignoring eigenvectors) can miss fine dynamical differences. fastDSA alternatives remain sensitive and perform well even at high noise.

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With different forms of noise, we showed how well the rank estimate supports DMD reconstruction. Across noise levels, the method detects the rank at the knee point automatically (with no tuning)

We first tested whether fastDSA is invariant to purely geometric deformationsโ€”changes that preserve the same underlying dynamics and attractor topology. All 3 fastDSA variants are faithful to dynamics and remain stable across geometric deformations, while being computationally more efficient.

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We made DSA up to 150 times faster ๐Ÿคฏ 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.

Our method efficiently estimates the rank of delay embeddings of a dynamical system. For example, on Lorenz trajectories projected to higher dimensions, the estimated order matches the true latent rank and aligns with AIC/BIC baselines.

Arman Behrad reposted

Way back in 1999, Kenji Doya sketched a big picture theory of the brain: 1๏ธโƒฃThe cerebellum is specialized for supervised learning 2๏ธโƒฃThe basal ganglia are for reinforcement learning 3๏ธโƒฃThe cerebral cortex is for unsupervised learning How does this hold up in 2026? www.sciencedirect.com/science/arti...

Arman Behrad reposted

Thank you for having me on BrainInspired, Paul @braininspired.bsky.social! It was such an honor to be on my favorite showโ€”a rare place where we can leisurely talk about manifolds, latent circuits, power laws, and other esoteric ideas, and still be taken seriously in knowing they are all real.

Paul Middlebrooks@braininspired.bsky.social

Are manifolds real? Are latent circuits real? Tatiana @engeltatiana.bsky.social uses one, infers the other, and says yes to both. Also, how timescales are different and the same across the entire brain... braininspired.co/podcast/226/

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