Arman Behrad

Are you at #COSYNE2026? 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 my poster today, 3-001!

𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗯𝗲𝘆𝗼𝗻𝗱 𝗽𝗮𝗶𝗿𝘄𝗶𝘀𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀 Sometimes it's important to go beyond just pairs of entities at a time. Check out the arxiv version arxiv.org/abs/2510.05253

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

Happy to share that our new paper is out in Nature Communications with Zoe Ashwood, @IntlBrainLab, and @jpillowtime! We study how animals switch between internal decision-making states in non-stationary environments using a GLM-HMM framework. nature.com/articles/s4146…

This work couldn’t have happened without my wonderful collaborators: @neurostrow and @FieteGroup (master minds behind the original DSA), @TheSTraveller, Christian Beste, and @neuroprinciples; and support from the @CompNeuro_lab.

There are also other fantastic tools around for comparing circuits/brains/models like the RSA developed by @NKriegeskorte and many others (e.g., see the great work biorxiv.org/content/10.110… by Joao Barbosa, and @ItsNeuronal)

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/fastDSA I’ll be @CosyneMeeting - happy to chat 😉

Online now: How heterogeneity shapes dynamics and computation in the brain dlvr.it/TQ4ccQ

𝗧𝗵𝗲 𝗘𝗻𝘁𝗮𝗻𝗴𝗹𝗲𝗱 𝗕𝗿𝗮𝗶𝗻 Annual reminder that the book is open access. How do we think of the brain as a deeply interconnected system with highly distributed, non hierarchical processing. Want to learn about the brain from a fresh perspective? mitpress.mit.edu/9780262544603/…

From sensory to perceptual manifolds: The twist of neural geometry doi.org/10.1126/sciadv… #neuroscience