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!
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Sometimes it's important to go beyond just pairs of entities at a time.
Check out the arxiv version
https://t.co/gykP73l6tk
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
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.
https://t.co/gZoqFwgcZx
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: https://t.co/jTVENLHfiV
๐ป: https://t.co/9SOMlwRkzj
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 https://t.co/lbEJ4VZz4C by Joao Barbosa, and @ItsNeuronal)
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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?
https://t.co/yBLcagKgOR