Computational Neuroscience | PhD. candidate @CompNeuro_Lab @tudresden_de | Fine Arts, Music
Joined August 2011
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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!
Arman Behrad retweeted
๐๐๐ป๐ฎ๐บ๐ถ๐ฐ๐ ๐ฏ๐ฒ๐๐ผ๐ป๐ฑ ๐ฝ๐ฎ๐ถ๐ฟ๐๐ถ๐๐ฒ ๐ถ๐ป๐๐ฒ๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป๐
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 ๐
Any domain worksโsignals,bio,astro,finance, spectroscopy, etc.
Got data or know a benchmark? Would love pointers๐
#SignalProcessing #DataScience #TimeSeries
Arman Behrad retweeted
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/s41467-0โฆ
Wanna compare dynamics across neural data, RNNs, or dynamical systems? We got a fast and furious method๐๏ธ
The 1st preprint of my PhD ๐ฅณ fast dynamical similarity analysis (fastDSA):
๐: arxiv.org/abs/2511.22828
๐ป: github.com/CMC-lab/fastDSA
Iโll be @CosyneMeeting - happy to chat ๐
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/10.1101/โฆ by Joao Barbosa, and @ItsNeuronal)
This work couldnโt 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.
Arman Behrad retweeted
Online now: How heterogeneity shapes dynamics and computation in the brain dlvr.it/TQ4ccQ
Arman Behrad retweeted
๐ง๐ต๐ฒ ๐๐ป๐๐ฎ๐ป๐ด๐น๐ฒ๐ฑ ๐๐ฟ๐ฎ๐ถ๐ป
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/97802625446โฆ
