Richard Naud
neuronaud.bsky.social
Richard Naud
@neuronaud.bsky.social
just trying to say true and-or kind things
Pinned
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 a combination of deep learning and graph theory. We found a surprising structure made of communities and landmarks.

doi.org/10.1101/2025...
Reposted by Richard Naud
Joint junior faculty position in Computational Neuroscience, between Ctr for Computational Neuroscience at @flatironinstitute.org and the CUNY Graduate Center @thegraduatecenter.bsky.social . Application deadline: 16 Jan 2026!

www.simonsfoundation.org/flatiron/car...
cuny.jobs/new-york-ny/...
Careers
Careers on Simons Foundation
www.simonsfoundation.org
January 6, 2026 at 3:14 AM
The Centre for Neural Dynamics and Artificial Intelligence (CNDAI) has a new web face ! @uobmri.bsky.social

uniweb.uottawa.ca/sites/CNDAI
uniweb.uottawa.ca
December 19, 2025 at 2:46 PM
Reposted by Richard Naud
Reposted by Richard Naud
Fully-funded International Neuroscience Doctoral Programme🧠 Champalimaud Foundation, Lisbon, Portugal 🇵🇹

Deadline: Jan 31, 2026
fchampalimaud.org/champalimaud...

Research program spans systems/computational/theoretical/clinical/sensory/motor neuroscience, neuroethology, intelligence, and more!!
December 16, 2025 at 7:20 PM
Reposted by Richard Naud
don't worry about general principles -- figure anything out
December 14, 2025 at 8:33 PM
Reposted by Richard Naud
🥳Excited to share our latest human multipatch paper, now out in @natneuro.nature.com
🧠 We studied the cellular and synaptic physiology of human L2–3 pyramidal neurons and identified subtype-specific local connectivity rules across individuals.
www.nature.com/articles/s41...
Join us: penglab.de
December 13, 2025 at 7:59 AM
Always such a vibrant NeuroAI community in Montreal !
Very cool talk by Richard Naud (University of Ottawa) @ #MAIN2025

“Modular Organization of Electrical Fluctuations in the Mouse Brain”

@neuronaud.bsky.social
December 13, 2025 at 9:41 PM
Reposted by Richard Naud
Another interesting piece of uncertainty representation around the vHPC and PFC. @neuronaud.bsky.social Question: dorsal hippocampus?
www.biorxiv.org/content/10.1...
Acetylcholine reflects uncertainty during hidden state inference
To act adaptively, animals must infer features of the environment that cannot be observed directly, such as which option is currently rewarding, or which context they are in. These internal estimates,...
www.biorxiv.org
December 8, 2025 at 3:31 AM
Reposted by Richard Naud
Postdoc & PhD positions
How intrinsic motivation underlies intelligent, open-ended and embodied behavior in natural and artificial agents
Apply if interested
sites.google.com/view/morenob...
December 3, 2025 at 8:26 PM
Reposted by Richard Naud
Excited to report the publication of LARIS, a program that can predict spatiotranscriptic LIgand-Receptor interactions. This work was led by @artofbiology (Min Dai in my lab) with Fei Chen's lab at the Broad. www.biorxiv.org/content/10.1...
LARIS enables accurate and efficient ligand and receptor interaction analysis in spatial transcriptomics
Advances in spatially resolved transcriptomics provide unprecedented opportunities to characterise intercellular communication pathways. However, robust and computationally efficient incorporation of ...
www.biorxiv.org
November 29, 2025 at 7:06 PM
Reposted by Richard Naud
glad to share our new preprint on how representation learning in the cortex can be explained by prediction across time in a recurrent JEPA. check it out here 👇
1/6 New preprint 🚀 How does the cortex learn to represent things and how they move without reconstructing sensory stimuli? We developed a circuit-centric recurrent predictive learning (RPL) model based on JEPAs.
🔗 doi.org/10.1101/2025...
Led by @atenagm.bsky.social @mshalvagal.bsky.social
November 27, 2025 at 4:00 PM
Reposted by Richard Naud
1/6 New preprint 🚀 How does the cortex learn to represent things and how they move without reconstructing sensory stimuli? We developed a circuit-centric recurrent predictive learning (RPL) model based on JEPAs.
🔗 doi.org/10.1101/2025...
Led by @atenagm.bsky.social @mshalvagal.bsky.social
November 27, 2025 at 8:24 AM
Reposted by Richard Naud
Our new paper is out in Nature Communications! nature.com/articles/s41...

We combined psychophysics, 7T fMRI, and computational modeling of vision with placebo, 5mg, and 10mg psilocybin, in the same group of participants, to clarify the computational mechanisms of psychedelics. 🧵
November 23, 2025 at 10:26 PM
Reposted by Richard Naud
Reminder if you missed #SNUFA spiking neural network and neuromorphic workshop earlier this month, all our talks were recorded and are now available to watch. 🤖🧠🧪

www.youtube.com/playlist?lis...
SNUFA 2025 Workshop - YouTube
Spiking neural networks as universal function approximators (SNUFA) online workshop 2025. For more see http://snufa.net/2025/
www.youtube.com
November 20, 2025 at 2:11 PM
Reposted by Richard Naud
My book "The Brain, in Theory" on the publisher's website (out in April 2026):
press.princeton.edu/books/paperb...
The Brain, In Theory
Why engineering and computational analogies are poorly suited to the study of biological cognition
press.princeton.edu
November 18, 2025 at 8:25 AM
I think I needed this reminder that Gemini thinks that some brain nuclei receive projections from neurons outside the brain.
October 27, 2025 at 10:53 AM
Nostalgia for neuro paper of the 90s, this is Llinas and Ribary 1992
October 24, 2025 at 10:36 PM
Reposted by Richard Naud
When I was an undergrad, I saw a talk by Oliver Sacks about music. During the Q&A, someone asked Sacks if he thought science would reveal the deepest mysteries of art. Sacks (a rare humanist among scientists) said that he doubted it, at which Eric Kandel (the host) leaped up and grabbed the mic.
October 15, 2025 at 9:27 AM
Reposted by Richard Naud
🚨Big news!🚨
The lab is relocating to Lisbon, joining a great team of experimental and theoretical neuroscientists, and the Neurotechnology Warehouse, a new initiative to bridge basic and translational research.

I'll be sharing postdoc openings soon. Come join us in this new incarnation of the lab!
🧠🎼 What does it take to restore movement? Neuroscientist and engineer, @juangallego.bsky.social, joins the new Centre for Restorative Neurotechnology at the Champalimaud Foundation.

🔗 Find out more in this interview: www.fchampalimaud.org/news/juan-al...
October 7, 2025 at 4:37 PM
Reposted by Richard Naud
We just pushed “Memory by a 1000 rules” onto bioRxiv, where we use clever #ML to find #plasticity quadruplets (EE, EI, IE, II) that learn basic stability in spiking nets. Why is it cool? We find 1000s!! of solutions, and they don’t just stabilise. They #memorise! www.biorxiv.org/content/10.1...
Memory by a thousand rules: Automated discovery of functional multi-type plasticity rules reveals variety & degeneracy at the heart of learning
Synaptic plasticity is the basis of learning and memory, but the link between synaptic changes and neural function remains elusive. Here, we used automated search algorithms to obtain thousands of str...
www.biorxiv.org
June 2, 2025 at 6:50 PM
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 a combination of deep learning and graph theory. We found a surprising structure made of communities and landmarks.

doi.org/10.1101/2025...
October 6, 2025 at 2:31 PM
Reposted by Richard Naud
I'd never heard Richard Sutton speak before. He's sharp! And I think this discussion has changed how I think about the bitter lesson.

youtu.be/21EYKqUsPfg?... #AI #ML #RL
Richard Sutton – Father of RL thinks LLMs are a dead end
YouTube video by Dwarkesh Patel
youtu.be
October 2, 2025 at 11:48 PM