Our review of Bayesian efficient coding as a theory of perception is out now in TICS – with @ivntmc.bsky.social and Máté Lengyel. www.cell.com/trends/cogni...

Bayesian efficient coding as a theory of perception: progress, controversies, and prospects

Bayesian efficient coding unifies two foundational theories of sensory processing: efficient coding and Bayesian inference. Central to this account is the idea that natural environmental statistics sh...

cell.com

The more you automate, the less you see: Hidden pitfalls of autonomous AI scientists | PNAS www.pnas.org/doi/10.1073/...

The more you automate, the less you see: Hidden pitfalls of autonomous AI scientists | PNAS

The rapid rise of autonomous AI scientists marks a paradigm shift in scientific discovery by automating the research lifecycle. Yet their rushed de...

pnas.org

Privileged representational axes in biological and artificial neural networks

Privileged representational axes in biological and artificial neural networks

Nature Human Behaviour, Published online: 23 October 2026; doi:10.1038/s41562-026-02515-3Khosla et al. show that both brains and neural networks consistently favoured certain axes for representing the natural world.

dlvr.it

Do brain connections just carry information between regions, or do they transform it? Lab's latest is out in Nature Neuroscience, led by Lakshman Chakravarthula: "Network geometry shapes the transformation of task representations across the human cortex" www.colelab.org/pubs/Chakrav... 1/n

Happy to announce our project on intracranial ephys artifacts is finally out 🙈 doi.org/10.1523/JNEUROSCI.0295-26.2026 It all began with an observation, are neurons across an entire array synchronizing at 1/30 ms resolution in cortex? Identical waveforms? Revolutionary if true, but... Blueprint!🧵

What’s the relationship between different aspects of visual time perception? To address this question, I propose a classification in four clusters of twelve classic visual time phenomena. Comments/criticisms welcome, including by email. osf.io/preprints/ps...

Towards a taxonomy for visual time perception

The investigation of visual time perception has uncovered a large variety of phenomena, but how these phenomena are related to each other is unclear. The ambition of the present review is to propose a...

osf.io

🚨New preprint! Together with @nfaivre.bsky.social, @meaperei.bsky.social, and a lot of amazing people, we asked whether neural activity reflects detection and confidence in a modality-specific or supramodal fashion using #sEEG recordings Check it out! www.biorxiv.org/content/10.6...

Supramodal Coding of Detection and Confidence in the Human Cortex

Perception is inherently multisensory, yet it remains unclear whether the brain detects stimuli and evaluates confidence in these detections using circuits shared across senses or circuits specific to...

biorxiv.org

bmm 1.4.1 is on CRAN! Signal detection theory & multinomial processing tree models join bmm: hierarchical Bayesian measurement models of cognition, written as brms-style formulas and fit with Stan. Get the new version now, with: install.packages("bmm") 🧵 #rstats #brms #PsychMethods

Call for submissions: Special Issue in Cortex "Conscious awareness across the senses" co-edited by @renzolanfranco.bsky.social @arvidguterstam.bsky.social @leahbanellis.bsky.social @nfaivre.bsky.social & @canalesjohnson.bsky.social #neuroskyence #psychscisky www.sciencedirect.com/special-issu...

I’m hiring a postdoc in my lab at the University of Amsterdam! Interested in mathematical psychology, evidence-accumulation models & Bayesian hierarchical modeling? Join us to develop new models of cognitive fluctuations across multiple timescales. Please share! werkenbij.uva.nl/en/vacancies...

Vacancy — Postdoctoral Position in Modeling Cognitive Fluctuations

Curious about why cognitive abilities fluctuate over time? Interested in using cognitive models and Bayesian hierarchical approaches to tackle complex, real-world data? Join this ERC-funded project to...

werkenbij.uva.nl

Dynamics of dopamine transients in human olfactory epithelium during reward learning https://www.biorxiv.org/content/10.64898/2026.10.07.757414v1

T minus 7 hours to this public event on model interpretability for which I agreed to show up at 6:30am. Attendance is free!

Interpretability in Psychological Models | TMM - Theory, Model, Measurement

Four talks and four panel discussions on what it means for a psychological model to be interpretable, and whether the idea still holds in an era of machine-learned cognition.

tmmpsych.vercel.app

PhD opportunity @ Institut @pasteur.fr, with Gabriel Lepousez, for applications to the competitive PPU PhD Program. Project on voice perception and neuro/immune responses. Seeking strong candidates in neuroscience, programming & signal processing. PPU: www.pasteur.fr/en/about-us/...

Hi all! I'm looking for people to try out my new collaborative writing platform. Think: Overleaf or GDocs for Mkdown LaTeX HTML Typst Quarto Free, open source, and full-featured. Many editors, chat, comments, track changes, history, AI, mobile, templates, etc Would ❤️ any feedback! librepaper.org

Our paper is out in Nature, congrats to Qiyu, An et al! By stimulating ~20 motor cortex neurons carefully selected based on their activity, we could induce learned population activity and, sometimes, the movement itself, depending on the brain's state. www.nature.com/articles/s41...

Targeted stimulation of motor cortex ensembles drives learned movements - Nature

Optogenetic stimulation of motor-cortex neuron ensembles shows that precisely timed activity in the primary motor cortex can generate learned neural patterns and movements, demonstrating an active rol...

nature.com

Can we find shared neural spaces across subjects? Yes! We introduce Multi-encoder-decoder-VAE (MED-VAE), a method for model-guided cross-subject shared spaces. Fantastic work led by @pangeliki.bsky.social #CCN2026 (selected for a talk) 🧵 1/6

Cool: Interindividual vocal tract diversity influences the phonetic diversification of spoken languages journals.plos.org/plosbiology/...

Interindividual vocal tract diversity influences the phonetic diversification of spoken languages

Human vocal tracts vary extensively between individuals, but how does this translate into phonetic diversity between speakers and languages? This study uses vocal tract imaging to develop a biocultura...

journals.plos.org

Too many neuro preprints to keep track of, so I made a monthly ranking of the most-read ones on bioRxiv. Not a measure of quality, just what people are reading. Here's the fresh ranking for September: robertodf.github.io/biorxiv-top/

Very happy to welcome @segauxv.bsky.social as a PhD student on the ANR-funded INNERSPEECH project! Virgile will investigate the cognitive and neural mechanisms underlying inner speech diversity using behavioural methods, M/EEG, and 7T fMRI. Looking forward to the discoveries ahead!

Check out our new paper! (1/5) www.pnas.org/doi/10.1073/... @err-ring.bsky.social @kkshimizu1.bsky.social @markstoneking.bsky.social @balthasarbickel.bsky.social @chiarabarbieri.bsky.social @isle-uzh.bsky.social @nccrlanguage.bsky.social

An inverse correlation between structural linguistic and human genetic diversity | PNAS

Linguistic structures show uneven global distributions, but it remains unknown to what extent such distributions are driven by human population his...

pnas.org

Excellent comparative work from members of @nccrlanguage.bsky.social & @isle-uzh.bsky.social, challenging another “only-human” claim about language (we need more of this type of work): “Supra-regular recursion in primate vocal sequences” (Well done @balthasarbickel.bsky.social!) 🧪🗣️

Supra-regular recursion in primate vocal sequences

Complex syntax is the widely accepted demarcation between animal and human communication. Although animal vocal systems occasionally contain pockets of syntax-like structures, their grammars are thoug...

biorxiv.org

Delighted to share our new preprint, which places what we have learned about the polygenic basis of the globular human brain shape into a broader evolutional/developmental context 🧪🧠🧬 www.biorxiv.org/content/10.6...

#TrendingNow | Human complex traits differ in the number of associated gene variants, their frequencies, and effect sizes. This study suggests that these differences can largely be explained by two simple scaling laws 🧪 #ICYMI #genetics plos.io/47mZXqT

Simple scaling laws control the genetic architectures of human complex traits

Genome-wide association studies have revealed that the genetic architectures of complex traits vary widely. This study shows that differences in architectures of highly polygenic traits arise mainly…

plos.io

Avec la maison d'édition on a fait une vidéo pour Insta (format vertical et sous-titres !) J'ai essayé de mettre l'énergie qui va avec 🫣 Je la poste aussi ici mais promis, le livre a aussi des références scientifiques et des notes de bas de page 🤓

New work by @msaddler.bsky.social with a striking finding: a wide range of human perceptual thresholds are replicated in a neural network optimized for real-world auditory tasks. Suggests that thresholds are determined by linear separability in task-optimized representations.

Mark R. Saddler@msaddler.bsky.social · 2w ago

Pleased to share my new preprint with @joshhmcdermott.bsky.social and Torsten Dau: www.biorxiv.org/content/10.6... ! It shows that many of the characteristic limits of human hearing emerge from perceptual representations optimized for everyday hearing behavior. [1/6]

Excited to share that my postdoc work with Timothée Proix @ndlab.bsky.social is now in Nature Communications!🎉 Recording from 624 human neurons, we show that semantic predictions realign phonetic population activity—revealing how meaning feeds back to reshape speech-sound processing. Thread 1/6 👇

📝 My paper on generalized additive models (GAMs) in animal science is out! Learn nonlinear relationships from data, estimate growth rates and compare treatments, with cows, pigs and quail + reproducible #RStats code. Open access: doi.org/10.1016/j.an... #mgcv #AnimalScience #Statistics 🧪

Our October Special Issue on Neurotechnology is now online! It's loaded with great Q&As from leaders in the field, Perspectives, a Comment on ethics, and lots of cool primary papers of course! www.nature.com/neuro/volume...

BREAKING NEWS The 2026 Nobel Prize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel “for their discoveries concerning light-gated ion channels and optogenetics.”

(1/8) Our approach for untangling brain-wide interactions is out today in @cp-neuron.bsky.social! Current-Based Decomposition (CURBD) uses RNNs constrained by real neural data to reveal the input driving neurons, uncovering how brain regions talk to each other. doi.org/10.1016/j.ne... 🧵👇