arnau-m-l
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arnauya.bsky.social
arnau-m-l
@arnauya.bsky.social
Studying natural and artificial learning & intelligence using ai agents and brain machine interfaces at Harvard.

https://arnaumarin.github.io/
Let us know if you have any thoughts!

Code: github.com/arnaumarin/L...
GitHub - arnaumarin/LFP-Riemannian: Riemannian for Brain Dynamics
Riemannian for Brain Dynamics. Contribute to arnaumarin/LFP-Riemannian development by creating an account on GitHub.
github.com
October 14, 2025 at 11:01 PM
Great work! I realized there was a Zenodo link but I can't find it. How can I locate it?
July 11, 2025 at 2:18 AM
I'm not entirely sure I understand what you mean - but essentially, in the paper we found that by making it a dual-classification problem (+ the clustering with high-confidence samples) we could refine the classifications of MA states (which, can be challenging to distinguish with the other states)
April 17, 2025 at 8:58 PM
Check out our fully-open source code below!
github.com/arnaumarin/L...
GitHub - arnaumarin/LFPDeepStates: neural models for anesthesia stage transition classification
neural models for anesthesia stage transition classification - arnaumarin/LFPDeepStates
github.com
April 14, 2025 at 11:12 PM
also here!!!
Beniaguev, D., Segev, I., & London, M. (2021). Single cortical neurons as deep artificial neural networks. Neuron, 109(17), 2727-2739.
December 16, 2024 at 10:03 PM
Reposted by arnau-m-l
Best quote from the trailer " I admit that I literally really understand nothing of this"
December 16, 2024 at 7:10 PM
not necessarily the 'universal computation' but at least its a common language across subjects in neuro. I mean, we can't be sure we record the single-cell resolution same neurons from our very limited (and very downsampled) number of neurons.
November 28, 2024 at 12:00 AM
Juan! Love the list so far. I’d love to join if there’s room still :)
November 24, 2024 at 7:48 PM