Richard Naud

Lineage-resolved atlas of the developing human cortex - Nature Lineage tracing in human tissue samples from gestational weeks 16 to 24 provides insight into lineage relationships between cortical cell types and shows a switch in progenitor output from glutamaterg...

Lineage-resolved atlas of the developing human cortex www.nature.com/articles/s41...

Sensory expectations shape neural population dynamics in motor circuits Nature - Experiments with human volunteers and macaques show that expectations produced by probabilistic cueing of future sensory inputs shape motor circuit dynamics in order to increase the...

Thrilled that our paper is out today in Nature!
www.nature.com/articles/s4...

I think I needed this reminder that Gemini thinks that some brain nuclei receive projections from neurons outside the brain.

Nostalgia for neuro paper of the 90s, this is Llinas and Ribary 1992

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.

🚨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!

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...

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...

exploring something new? some might say there is still enough to exploit in with this terminology 🙃

Thanks to @intlbrainlab.bsky.social for assembling and sharing their data!! And this work was mainly the work of Xingyun Wang.

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.

What technique did we use? We extracted second long spectrograms and used deep learning to localize each sample. We checked that the deep nets could generalize to new experiments and new animals. We then used the confusion matrix as a graph and searched for highly interconnected groups.

Graphs highlighted resemblance between communities sometimes hinged on pairs areas. Here are examples of such pairs between communities involving the motor planning community.

The largest community outside the cerebellum and hindbrain contained parts of the basal ganglia (putamen and nucleus accumbens) and motor planning regions of cortex (ACA, GU, MOs, MOp, ORB). It split in two during visual task.

This atlas of the local field potentials showed much re-organization when comparing rest and the visual+wheel turning task. Among many interesting changes, not only did the core visual communities grew larger, a new community highlighted ressemblence of tactile areas for upper and lower limbs.

For instance, the visual layers of superior colliculus were most similar to primary cortex as well as other visual areas such as VISpm & VISa, retrosplenial and area poststriata (hippocampal). The motor parts of the superior colliculus were most similar to noncortical oculomotor areas

Maybe I was naïve, I honestly thought we would only see a smooth and blurry transition between the frontal cortex, visual cortex and the hippocampus. But the structure we found was finer grained, more functional and more dynamic than I thought.

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...

YouTube video by Dwarkesh Patel Richard Sutton – Father of RL thinks LLMs are a dead end

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

Electrospectrometry of the Mouse Brain https://www.biorxiv.org/content/10.1101/2025.10.01.679820v1

It's officially been 75 years since the proposal of the Turing Test, a good time bring up 'The Minimal Turing Test':

www.sciencedirect.com/science/arti...

The Turing Test and our shifting conceptions of intelligence “Can machines think?” So asked Alan Turing in his 1950 paper, “Computing Machinery and Intelligence.” Turing quickly noted that, given the difficulty of defining thinking, the question is “too meaning...

In honor of the 75th anniversary of the Turing test, I'm re-upping my short essay, "The Turing Test and our shifting conceptions of intelligence".

www.science.org/doi/10.1126/...

I’m pleased to share our new paper, “Hippocampal ripple diversity organizes neuronal reactivation dynamics in the offline brain”, out in @cp-neuron.bsky.social !

With @vitorlds.bsky.social and David Dupret, we show that diversity in ripple current profiles shapes reactivation dynamics

Ca2+ Plateau Potentials Reflect Cross-Theta Cortico-Hippocampal Input Dynamics and Acetylcholine for Rapid Formation of Efficient Place-Cell Code A central tenet of Systems Neuroscience lies in an understanding of memory and behavior through learning rules, but synaptic plasticity has rarely been shown to create functional single-neuron code in...

Interesting new data on BTSP mechanisms from my old Janelia colleague @hiallen72.bsky.social
www.biorxiv.org/content/10.1...

Message for participants of the #SNUFA 2025 spiking neural network workshop. We got almost 60 awesome abstract submissions, and we'd now like your help to select which ones should be offered talks. Follow the "abstract voting" link at snufa.net/2025/ to take part. It should take <15m. Thanks! ❤️

Paradigms of Intelligence Team Advance our understanding of how intelligence evolves to develop new technologies for the benefit of humanity and other sentient life - Paradigms of Intelligence Team

1/4) I’m excited to announce that I have joined the Paradigms of Intelligence team at Google (github.com/paradigms-of...)! Our team, led by @blaiseaguera.bsky.social, is bringing forward the next stage of AI by pushing on some of the assumptions that underpin current ML.

#MLSky #AI #neuroscience

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Excellent list of speakers! Come join the symposium at the Champalimaud Centre for the Unknown. Register now. #neurocybernetics #computationalNeuroscience

you bet, no wonder I struggled keeping up with you! But what run that was ;)

Insane time!! Congrats Adrien.

A generic non-invasive neuromotor interface for human-computer interaction - Nature A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

The CTRL-Labs decoding model paper is out! Saw this presented at Cosyne this year, very cool to see it out.

I would say this is the clearest demonstration of scaling laws in neural decoding to-date.

www.nature.com/articles/s41...

🧠📈 🧪