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!
Arman Behrad
@armanbehrad.bsky.social
Computational Neuroscience | PhD. candidate at @cmc-lab.bsky.social | Fine Arts, Music, Longevity
I’ll be leading a hands-on workshop on fastDSA, where we’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 · last mo.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!😁😍
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
Ghost Mechanism: An Analytical Model of Abrupt Learning in Recurrent Networks
This 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...
go.aps.org
Physical Review X@physrevx.aps.org · last mo.Why do neural networks undergo abrupt learning after training on memory tasks? New research traces this phenomenon to a “ghosting” mechanism that locks the system into a no-learning zone and proposes two practical fixes to address these pitfalls. 📝 https://go.aps.org/4fXWEeF
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 🎉) 📄: www.cell.com/trends/cogni... 🧵 : 👇
Perceptual multistability: a multifaceted window into brain dysfunctions
Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics a...
cell.com
Trends in Cognitive Sciences@cp-trendscognsci.bsky.social · 4mo agoOnline Now: Perceptual multistability: a multifaceted window into brain dysfunctions
We have 2 open PhD positions @mpicybernetics.bsky.social, if you’re interested in reinforcement learning, recurrent neural networks and analyses of neural & behavioral data from novel, cross-species foraging experiments, there’s still time to apply: nextcloud.tuebingen.mpg.de/index.php/s/...
Bernstein Network Computational Neuroscience@bernsteinneuro.bsky.social · 2mo ago💼 Have you taken a look at our #CompNeuro job pool lately? There are many exciting positions with upcoming deadlines! 👉 bit.ly/2XoVAKB #ScienceJobs #BernsteinNetwork #AcademicSky
Finished the Leipzig Half Marathon 🏃♂️💥 On to the next one!
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! We’ll also soon have openings for PhD students, stay tuned!
Max Planck Institute for Biological Cybernetics@mpicybernetics.bsky.social · 4mo ago🎉 @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. 🔗 www.kyb.tuebingen.mpg.de/zeraati-tsch... #DecisionMaking #ComputationalNeuroscience
We apologize for the delay but our next profile is here! Dr. Ann Kennedy (@antihebbiann.bsky.social) combines theory & biological data to study how internal states shape social behavior by reconfiguring neural circuit dynamics. Follow the link to learn more! www.storiesofwin.org/profiles/202...
I had the chance to attend it in person. It's really amazing, highly recommend.
Alex Williams@itsneuronal.bsky.social · 5mo agoCosyne 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...
Out now in Science: The Truman Show, but with killifishes! "Continuous recording of a vertebrate’s adult life from adolescence until death would provide a complete view into the behavioral architecture of aging." www.science.org/doi/10.1126/...
Lifelong behavioral screen reveals an architecture of vertebrate aging
Mapping behavior of individual vertebrate animals across lifespan could provide an unprecedented view into the lifelong process of aging. We created a platform for high-resolution continuous behaviora...
science.org
Enthusiastic to present our latest results for you and get your feedback.
Shervin Safavi@neuroprinciplist.bsky.social · 5mo agoAre 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!
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!
CMC lab@cmc-lab.bsky.social · 5mo ago3-001, 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.
3-001, 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!
The activity of certain neurons may influence our endurance for exercise, and these could be targeted to help us run faster for longer
Endurance brain cells may determine how long you can run for
The activity of certain neurons may influence our endurance for exercise, and these could be targeted to help us run faster for longer
newscientist.com
For Spanish researchers interested in postdoc positions: my lab at Amsterdam is looking for candidates to apply for a Ramon Areces postdoctoral fellowship, to work for 2 years on compneuro and digital brains. Deadline Feb 23. Please spread the word! More info: www.fundacionareces.es/fundacionare...
Convocatorias - Fundación Ramón Areces
fundacionareces.es
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
This book is a wonderful, synthetic and richly illustrated journey through the natural history of the vertebrate brain 🤩 A big thank you to the authors 🙏 "A major theme in the evolution of the telencephalon has been the emergence of novel pathways... 1/2
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 😉
Way back in 1999, Kenji Doya sketched a big picture theory of the brain: 1️⃣The cerebellum is specialized for supervised learning 2️⃣The basal ganglia are for reinforcement learning 3️⃣The cerebral cortex is for unsupervised learning How does this hold up in 2026? www.sciencedirect.com/science/arti...
From sensory to perceptual manifolds: The twist of neural geometry doi.org/10.1126/scia... #neuroscience
From sensory to perceptual manifolds: The twist of neural geometry
The brain uses geometric twists to expand neural dimensionality, thus untangling perception from sensation.
doi.org
Thank you for having me on BrainInspired, Paul @braininspired.bsky.social! It was such an honor to be on my favorite show—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 · 8mo agoAre 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/
🚨new work with the dream team @danakarca.bsky.social @loopyluppi.bsky.social @fatemehhadaeghi.bsky.social @stuartoldham.bsky.social @duncanastle.bsky.social We use game theory and show the brain is not optimally wired for communication and there’s more to its story: www.biorxiv.org/content/10.6...
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...
Bernstein Conference 2025
Conference Abstracts
abstracts.g-node.org
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...
Bernstein Conference 2025
Conference Abstracts
abstracts.g-node.org
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...
Bernstein Conference 2025
Conference Abstracts
abstracts.g-node.org
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)
