
just a researcher in neuroscience trying to say true and/or kind things bluesky: @neuronaud.bsky.social
Ottawa, Ontario
Joined November 2017
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How are the fluctuations in electric field organized across the whole brain? We analyzed the 3.4 M samples from the international brain lab using and found a surprising structure made of communities and landmarks. doi.org/10.1101/2025.10.01.6… @JCBeique @XingyunWang4
Richard Naud retweeted
Very cool talk by Richard Naud (University of Ottawa) @ #MAIN2025
“Modular Organization of Electrical Fluctuations in the Mouse Brain”
Via Rail does it again. The track rental is not an excuse for all the mediocre performance of this organization. If ever we get a passenger train in this country it needs both tracks and a new business model. cbc.ca/news/canada/ottawa/vi…
Richard Naud retweeted
1. New preprint resolving a conundrum in systems neuroscience with an AI scientist, and humans @ReillyTilbury, @dabin_kwon, @ali__haydaroglu, @JacobMRatliff, Valentin Schmutz, Matteo Carandini, @kevinjmiller10, @neuro_kim
biorxiv.org/content/10.1101/…
Richard Naud retweeted
For those interested in methods for analyzing a specific frequency of neural activity as a series of discrete events, the CBASS code is posted here with an excellent wiki by @QuentinPerreno1: github.com/cardin-higley-lab…
Nature research paper: Flexible perceptual encoding by discrete gamma events
go.nature.com/3Wuy1Ls
Richard Naud retweeted
This op-ed published in the @nytimes by @stephenwitt thoughtfully captures the urgency and complexity of navigating AI's risks, but also my sincere conviction that technical solutions are possible — we still have agency and an opportunity to act.
nytimes.com/2025/10/10/opini…
Richard Naud retweeted
Flexible perceptual encoding by discrete gamma events
nature.com/articles/s41586-0…
#neuroscience
Richard Naud retweeted
How prediction error drives memory updating: role of locus coeruleus–hippocampal interactions
cell.com/trends/neuroscience…
I’ve often made the bet that we’ll never really understand what’s in the LFP (or the EEG). While I feel these findings leave me with many many further questions, I don’t think I’ll make that bet again.
Thanks to @IntlBrainLab for assembling and sharing their data!!
Richard Naud retweeted
Check our new scaling law theory for deep linear self-attention! @blake__bordelon @maryiletey
Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time ift.tt/oA0WN6J
Richard Naud retweeted
Making rational decisions for the wrong reasons...
Probabilities in brains...
Ecological neuroscience...
Xaq Pitkow @xaqlab dishes out the principles
braininspired.co/podcast/219…
Richard Naud retweeted
The work I was doing back in Oxford recently found its way to a publication in Cell.
In the intervening years since I worked on this, numerous iterations of the machine-god have been unleashed on the world, the West has started to slip into anarchy, and Charli XCX gained mainstream relevance in the music industry. Some things seem a little outdated.
Nevertheless, please bear with me while I engage in the ancient and treasured tradition of doing a thread about our findings.















