@NeuroNaud profile picture
Richard Naud @NeuroNaud
Joined November 2017
  • Tweets 1,291
  • Following 551
  • Followers 1,653
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Richard Naud@NeuroNaud
6 Oct 2025
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
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Richard Naud retweeted
Liset M de la Prida@LMPrida
14 Dec 2025
Replying to @JulioMTNeuro
Something like this 👉🏼 cell.com/neuron/abstract/S08…

Cell-type-specific manifold analysis discloses independent geometric transformations in the...

Esparza et al. use cell-type-specific imaging and chemogenetics in freely moving mice to uncover distinct geometric and topological features of CA1 population activity during spatial navigation....

cell.com
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Richard Naud retweeted
Karim Jerbi@karimjerbineuro
13 Dec 2025
Very cool talk by Richard Naud (University of Ottawa) @ #MAIN2025 “Modular Organization of Electrical Fluctuations in the Mouse Brain”
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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…

Via Rail passengers make it to Ottawa after being stranded overnight in Brockville, Ont. | CBC News

Nearly 300 passengers on three Via Rail trains were stranded for as long as 13 hours after one of the trains broke down near Brockville, Ont., Wednesday night.

cbc.ca
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Richard Naud retweeted
Kenneth D Harris@kennethd_harris
14 Nov 2025
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/…

Characterizing neuronal population geometry with AI equation discovery

The visual cortex contains millions of neurons, whose combined activity forms a population code representing visual stimuli. There is, however, a discrepancy between our understanding of this code at...

biorxiv.org
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Richard Naud retweeted
Jess Cardin@jess_cardin
10 Oct 2025
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
@Nature
8 Oct 2025
Nature research paper: Flexible perceptual encoding by discrete gamma events go.nature.com/3Wuy1Ls
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Yoshua Bengio
@Yoshua_Bengio
10 Oct 2025
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…

Opinion | The A.I. Prompt That Could End the World

A destructive A.I., like a nuclear bomb, is now a concrete possibility; the question is whether anyone will be reckless enough to build one.

nytimes.com
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Richard Naud retweeted
Earl K. Miller@MillerLabMIT
9 Oct 2025
Flexible perceptual encoding by discrete gamma events nature.com/articles/s41586-0… #neuroscience

Flexible perceptual encoding by discrete gamma events

Nature - Using a new analytical method for tracking gamma band events in mouse visual cortex, flexible encoding of visual information according to behavioural context is shown.

nature.com
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Richard Naud retweeted
Bertoglio lab (FMC/UFSC)@bertogliolab
6 Oct 2025
How prediction error drives memory updating: role of locus coeruleus–hippocampal interactions cell.com/trends/neuroscience…

How prediction error drives memory updating: role of locus coeruleus–hippocampal interactions

The brain constantly generates predictions based on one’s knowledge of the world, as captured in memory. When these predictions are in error, our knowledge base must be revised to remain relevant....

cell.com
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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
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more replies
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.
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Thanks to @IntlBrainLab for assembling and sharing their data!!
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Richard Naud retweeted
Cengiz Pehlevan@CPehlevan
3 Oct 2025
Check our new scaling law theory for deep linear self-attention! @blake__bordelon @maryiletey
Stat.ML Papers@StatMLPapers
2 Oct 2025
Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time ift.tt/oA0WN6J
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Paul Middlebrooks@pgmid
27 Aug 2025
Making rational decisions for the wrong reasons... Probabilities in brains... Ecological neuroscience... Xaq Pitkow @xaqlab dishes out the principles braininspired.co/podcast/219…

Xaq Pitkow is driven by principles and learning

braininspired.co
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Richard Naud retweeted
Aeron Laffere
@aeronlaffere
3 Aug 2025
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.
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