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Ladislas Nalborczyk

@lnalborczyk.bsky.social
1.1K followers 1.2K following 124 posts

Computational cognitive neuroscientist @cnrs.fr. Visiting scholar at @dukemedschool.bsky.social. Inner speech, mental imagery, cognitive/statistical modelling, M/EEG, open and slow science. More info & job opportunities: lnalborczyk.github.io.

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Reposted by Ladislas Nalborczyk
Anna Graff @annagraff.bsky.social · 01/05/2026
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
pnas.org
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...
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Cedric Boeckx @cedricboeckx.bsky.social · 22/09/2026
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!) 🧪🗣️
biorxiv.org
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...
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Cedric Boeckx @cedricboeckx.bsky.social · 7h
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...
biorxiv.org
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PLOS Biology @plosbiology.org · 22h
#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
plos.io
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…
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Reposted by Ladislas Nalborczyk
Jérémie Naudé @jeremie-n.cpesr.fr · 21h
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 🤓
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Josh McDermott @joshhmcdermott.bsky.social · 07/10/2026
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.
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Pavo Orepić @pavoorepic.bsky.social · 07/10/2026
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 👇
nature.com
Top-down semantic predictions align phonetic neuronal dynamics in human superior temporal gyrus - Nature Communications
How semantic information influences phonetic processing during speech perception remains unclear. Here, the authors show that semantic predictions reshape phonetic representations in human temporal co...
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Gavin Simpson @gsimpson.bsky.social · 06/10/2026
📝 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 🧪
Eight panels show body mass over 78 days for 57 Japanese quail. Columns represent control, T4, T3 and combined T3–T4 hormone treatments; rows separate females and males. Coloured points are measurements, lines are individual growth curves fitted by a hierarchical generalized additive model, and shading shows 95% credible intervals. Growth slows towards a plateau, with females generally reaching higher body masses than males.Eighteen panels show individual pig growth curves. Black points mark daily average weight estimates from a depth camera; blue lines show curves fitted by a hierarchical generalized additive model, with shaded 95% credible intervals. Weights generally increase over time, with differences in growth and measurement variability among pigs. Uncertainty widens where measurements are sparse or absent.Four-panel comparison of models fitted to a cow’s average daily milk fat production. Observations rise to a peak around weeks 8–10, then decline. The first panel shows fitted curves and uncertainty bands for Wood’s model, a Tweedie GLM and a Tweedie GAM. Residual plots show curved patterns for Wood’s model and the GLM, but little remaining pattern for the GAM.
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Nature Neuroscience @natneuro.nature.com · 06/10/2026
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...
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Nobel Prize @nobelprize.org · 05/10/2026
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.”
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Kanaka Rajan @kanakarajanphd.bsky.social · 07/08/2026
(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... 🧵👇
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Maarten van Smeden @maartenvsmeden.bsky.social · 05/10/2026
NEW PAPER Shapley value explanations have been a very popular Explainable AI technique commonly used with the aim to improve transparency of black box machine learning models. Excellently led by @alcarriero.bsky.social www.nature.com/articles/s41...
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Steve Fleming @smfleming.bsky.social · 05/10/2026
Excited to be launching our new PhD program in Minds and Machines at UCL with co-Directors Tali Sharot and @nadinedijkstra.bsky.social To apply, find out more here: www.ucl.ac.uk/brain-scienc... Our launch event is on Nov 10th, with a cracking lineup of speakers: luma.com/cikzcth0
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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Reposted by Ladislas Nalborczyk
Stefano Palminteri @stepalminteri.bsky.social · 05/10/2026
New preprint! Can LLMs really know when they know? We trained 10 open models to predict their own accuracy and found a striking limit: out of distribution, confidence tracks consistency more than correctness. Led by @nicolasyax.bsky.social with @pyoudeyer.bsky.social arxiv.org/pdf/2609.33886
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ASUR @agorasur.bsky.social · 04/10/2026
#VeilleESR #ESR Le premier rapport des Assises pour l'Université et pour la Recherche propose à la représentation nationale un plan de redressement budgétaire pour l'Université, la Recherche et la Vie Etudiante. A télécharger ici: raw.githubusercontent.com/cpesr/assise...
Le premier rapport des Assises pour l'Université et pour la Recherche propose à la représentation nationale un plan de redressement budgétaire pour l'Université, la Recherche et la Vie Etudiante.
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Martin Wiener @martinwiener.bsky.social · 01/10/2026
Coming to #SFN26 this year? Interested in #Time and #Temporal_Processing? You're in luck! We've organized an exciting nanosymposium, bringing together experts across species, levels, models, to give an overview of Time in the brain. Check it out! www.abstractsonline.com/pp8/#!/21503...
abstractsonline.com
Program Planner
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JsonGeller @jgeller1phd.bsky.social · 02/10/2026
New tutorial finally in press with @rmkubinec.bsky.social @chelseaparlett.bsky.social and @matti.vuorre.com. It has everything you could possible want: Quippy headings, a whole lot of beta, bayesian analyses and frequentist analyses side by side in harmony. link.springer.com/article/10.3...
rdcu.be
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Christoph Strauch @cstrauch.bsky.social · 02/10/2026
How much of a risk are LLM-generated bots for online behavioral experiments? We present results of an entirely natural language prompt-generated agent, capable of absolving any of the 26 experiments we tested it on. Most tasks are passed with data that can pass as human osf.io/preprints/ps... (1/)
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Jorge Morales @jorgemorales.me · 01/10/2026
Our lab is growing! We're looking for a graduate student to start next fall (applications due on Dec 1) and a postdoctoral researcher to start soon (ad coming soon; starting date is flexible, probably some time next year). subjectivitylab.org
subjectivitylab.org
The Subjectivity Lab · Duke University · Jorge Morales, PhD
Duke interdisciplinary research group led by Dr. Jorge Morales studying vision, mental imagery, consciousness, and introspection.
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Reposted by Ladislas Nalborczyk
Drew Schreiner @schreinerdrew.bsky.social · 13/05/2026
Where, exactly, does learning happen in the brain? Out today in @nature.com, we identify a synaptic locus of birdsong learning and show that the circuit can be tuned to make birds learn faster - but at a cost. Read on👇 #neuroskyence 🧪 #prattle 💬 #bioacoustics Shareable link: rdcu.be/fiyrS
nature.com
A synaptic locus of song learning - Nature
Combining a computational framework and optogenetic and chemogenetic manipulations within and downstream of the cortico-basal ganglia circuit identifies the specific cortico-basal ganglia synapse...
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Bat1K Genome Project @bat1kgenomes.bsky.social · 23/09/2026
Where did bats come from?🦇🌍 After decades of debate, the biggest bat genome + fossil study ever done has an answer - and it’s not where anyone expected! 🤩OUR PHASE 1 FLAGSHIP is out today in nature! doi.org/10.1038/s415... A thread 🧵
doi.org
Reference genomes and fossils revise bat family phylogeny and biogeography - Nature
An updated phylogeny of bats is presented, based on new genome assemblies and many ancient fossils and including all known bat families.
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Reposted by Ladislas Nalborczyk
Ken Paller @paller.bsky.social · 01/10/2026
Did you know that your speed — in a simple task of quickly pressing a button every time you see a yellow square — is faster when you are exhaling or pausing then when you are inhaling? Dr. Erika Yamazaki figured this out, did all the work, and published on it this week www.cell.com/iscience/ful...
cell.com
Response speed is modulated by respiratory phase
Behavioral neuroscience; Cognitive neuroscience
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Simon Fisher @profsimonfisher.bsky.social · 23/09/2026
“Bats are extraordinary among mammals, having uniquely evolved powered flight & laryngeal echolocation, along with disease resistance, extended healthspan & ability to hibernate. With genome assemblies of 103 bat species we provide new insights into evolutionary history & trait diversification.”🦇🧬🙌🧪
nature.com
Reference genomes and fossils revise bat family phylogeny and biogeography - Nature
An updated phylogeny of bats is presented, based on new genome assemblies and many ancient fossils and including all known bat families.
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Reposted by Ladislas Nalborczyk
Kobe Desender @kobedesender.bsky.social · 30/09/2026
"A single evidence accumulation process informs perceptual choices and subsequent confidence reports"! Reviewed Preprint at @elife.bsky.social led by @johnpgrogan1.bsky.social , @lucvermeylen.bsky.social, @redmondoconnell.bsky.social, and others PDF: elifesciences.org/reviewed-pre... Thread ↓↓↓
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Decision, Action, and Neural Computation (DANC) lab @danclab.bsky.social · 30/09/2026
Our multilayer MEG paper is out today in Nature Communications: depth-resolved laminar inference in humans 🧠#neuroskyence www.nature.com/articles/s41...
nature.com
Multilayer MEG source modelling enables depth-resolved laminar inference in humans - Nature Communications
Researchers developed a multilayer MEG framework that estimates activity across cortical depth non-invasively. Simulations and three human datasets show when reliable laminar inference is possible, en...
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Earl K. Miller @earlkmiller.bsky.social · 29/09/2026
Comprehensive profiling of brain dynamics during anesthesia across phylogeny www.nature.com/articles/s41... #neuroscience
nature.com
Comprehensive profiling of brain dynamics during anesthesia across phylogeny - Nature Neuroscience
In this study, Luppi et al. systematically characterized and modeled more than 6,000 features of neural activity during anesthesia. They reveal a shared but reversible dynamical endpoint of anesthesia...
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Andrew Reid @reid-lab.org · 11/09/2026
www.reid-lab.org/blog/22 My (interactive) blog post focused on how #EEG #MEG signals are generated. Aimed at anyone interested in learning about these methods on a biophysical level. Let know what you think -- and share if you think it may interest your followers! #neuroscience #Neuroskyence
reid-lab.org
Learning about EEG (part 1) | Andrew's Blog
This is a teaching-oriented post about the fundamental concepts underlying electroencephalography (EEG), and to some extent magnetoencephalography (MEG). I explore how electromagnetic fields are gener...
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RLDM @rldmparis2027.bsky.social · 29/09/2026
📣 Save the date! RLDM 2027, the Multi-disciplinary Conference on Reinforcement Learning and Decision Making, is coming to Paris, July 6-9, 2027 🎉 Stay tuned for submission deadlines and more updates on our website rldm.org 👀
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Kobe Desender @kobedesender.bsky.social · 29/09/2026
"Trial-by-trial fluctuations in decision criterion shape confidence"! Now out in @nathumbehav.nature.com led by Robin Vloeberghs, Lara Navarette, @anne-urai.bsky.social and me. PDF: desenderlab.com/wp-content/u... Fluctuating Thread ↓↓↓
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Ben Fulcher @bendfulcher.bsky.social · 29/09/2026
Today I'm releasing the "1000×1000 collection": a unified place to learn about dynamical structure. 1000 simulated time series (1000 samples each) spanning 133 dynamical processes. Have a play? 🐛 #timeseries #dynamicalsystems #complexity #opendata dynamicsandneuralsystems.github.io/1000x1000/
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Henrik Singmann @singmann.bsky.social · 09/09/2026
A new version of rtdists is now on CRAN: cran.r-project.org/package=rtdi... Big thanks to @kiante.bsky.social who added a new distribution, the racing diffusion model, fixed a number of long-standing bugs, and increased the speed of the diffusion model. All news: cran.r-project.org/web/packages...
cran.r-project.org
rtdists: Response Time Distributions
Provides response time distributions (density/PDF, distribution function/CDF, quantile function, and random generation): (a) Ratcliff diffusion model (Ratcliff &amp; McKoon, 2008, &lt;<a href="https:/...
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Ole Jensen @olejensen.bsky.social · 27/09/2026
I would like to highlight two postdoctoral positions in the project Neuronal Mechanisms of Reading in Children Using OPM-MEG at the University of Oxford: my.corehr.com/pls/uoxrecruit… my.corehr.com/pls/uoxrecruit��� Deadline 30 Sep.
my.corehr.com
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Daphné Rimsky Robert @rimskyrobert.bsky.social · 26/09/2026
🍯 Our new study with @clairesergent.bsky.social and @mlisi.bsky.social is out in @commspsychol.nature.com🐝 We investigated flexibility in conscious access (www.nature.com/articles/s44...), and showed you can be made retrospectively aware of a word's meaning in isolation from its case or location.
nature.com
Consciously detecting and recognizing a past visual word after its sensory trace is gone - Communications Psychology
This series of studies shows that conscious detection and recognition of a word can be triggered retrospectively, even after its visual features are masked. This suggests that conscious access may be ...
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Mikkel Wallentin @mikkelwallentin.bsky.social · 26/09/2026
New PhD-opportunity at Aarhus University with a project investigating the cognitive correlates of having no inner speech. Supervised by Johanne Nedergaard and yours truly. Deadline 11 November. Starting date 1 February 2027. Get in touch if you want to know more. phd.arts.au.dk/applicants/o...
phd.arts.au.dk
Individual differences in inner speech: Measurement and modelling (5+3), 2026-14
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Imaging Neuroscience @imagingneurosci.bsky.social · 24/09/2026
New paper in Imaging Neuroscience by David Halpern and Todd Gureckis: Getting blood from a stone: Improving brain–behavior inferences without brain data doi.org/10.1162/IMAG...
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Jianghao Liu @jianghaoliu.bsky.social · 23/09/2026
#Miabridge workshop - the final program is out! You are interested in mental imagery and aphantasia, don't miss it. The registration is still open.
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Princeton Neuroscience Institute @princetonneuro.bsky.social · 23/09/2026
📢 We’re hiring! PNI is seeking a full-time Lecturer in Computational and Cognitive Neuroscience to teach undergraduate and graduate courses in computational modeling and human cognitive neuroscience. Priority consideration: Nov. 30 Apply: apply.interfolio.com/193741 #NeuroSkyence #NeuroJobs
exterior photo/rendering of the PNI and psychology building
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The vOICe vision BCI 🧠🇪🇺 @seeingwithsound.bsky.social · 24/09/2026
Medial temporal default mode network selectively encodes autobiographical visual imagery www.science.org/doi/10.1126/... mental imagery, MT-DMN
Identifying visual information structure in fMRI data scanned during autobiographical imagination.
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Micah G. Allen @micahgallen.com · 22/09/2026
So… we just found out that GPT sol can complete a complex online behavioral/cognitive study producing nearly indistinguishable behavior and subjective reports… right as we are about to launch. Is this doomsday for online cognitive testing?
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Reza Shadmehr @rezashadmehr.bsky.social · 22/09/2026
Faculty position opening in computational neuroscience at Duke University. academicjobsonline.org/ajo/jobs/32697
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Mitchell Ostrow @neurostrow.bsky.social · 21/09/2026
Very excited to announce our most recent paper! TL;DR we made our prior work on comparing dynamics (DSA) much faster and generalizable to diverse data domains and problem settings (1/)
biorxiv.org
A metric for comparing complex systems by their dynamics
Comparisons are fundamental to science: experiment against model, one organism against another, a system against itself across time. Because many systems, from brains to climate, are characterized by ...
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Dan Quintana @dsquintana.bsky.social · 19/09/2026
New preprint! 🎉 I analysed 1660 papers from 4 psychology journals and found materials sharing went from 9% of papers in 2015 to 82% in 2025, and these materials *do* get downloaded — a median of 135 times each. BUT shared code is often hard to run. doi.org/10.31234/osf... Let's walk through it 🧵
Two-panel figure. Panel a is a flow diagram tracking 1,611 empirical psychology articles from publication year (545 in 2015, 552 in 2020, 514 in 2025) to repository-link type: 785 link an OSF project, 85 link another platform, and 741 link no repository. Of those with an OSF link, download counts were retrieved for 670 and not retrieved for 115. Panel b is a line chart of the share of empirical papers linking OSF across 2015, 2020 and 2025. The overall rate, shown as a dashed black line, rises from 9% to 57% to 82%. All four journals rise steeply and end close together: Psychological Science 92%, JESP 89%, JML 83%, Cognition 76%, with Psychological Science highest throughout.Three-panel figure. Panel a: ridgeline plot of downloads per file by material type on a log scale, with the percentage never downloaded labelled for each — archive 16% of 545 files, documents 20% of 2,970, code 12% of 3,471, other 17% of 1,646, data 21% of 10,051, media 35% of 2,120, images 35% of 4,102. Most files cluster between 1 and 10 downloads, with long right tails past 100. Panel b: ridgeline plot of downloads per paper by journal, log scale, with dashed median lines; Psychological Science is highest, then JESP, JML and Cognition. Panel c: stacked bars showing, for documents, data and code separately, the share of papers by download band (0, 1–10, 11–100, more than 100) in 2015, 2020 and 2025. The share exceeding 100 downloads falls sharply over time in all three types, from roughly two-thirds in 2015 to a quarter or less in 2025, as the 1–10 band grows.Four-panel figure. Panel a: statistical languages detected among 333 papers with retrievable code — R 88%, SPSS 12%, Stata 4%, SAS 1%. Panel b: code red flags among those 333 papers — 34% hard-code an absolute path, 40% reference a missing file — above documentation among 672 OSF-linked papers — 21% have a README, 30% are documented by README, description or wiki. Panel c: among 562 Elsevier papers with no repository link, 44% (245) host at least one journal supplementary file but only 14% (77) host data, code or an archive. Panel d: composition of those 448 hosted files — documents 52%, data 21%, media 9%, other 7%, archive 6%, code 3%, images 1%. The code panels are green, the journal-supplement panels blue.Coefficient plot (download predictors)

Dot-and-whisker plot of three standardised predictors of OSF download volume, each with a 95% confidence interval. Repository size (number of files) has the largest effect at about 0.76, citations about 0.38, and altmetric attention about 0.12. All three intervals sit entirely above zero, so each predicts more downloads, with repository size roughly twice the effect of citations and six times that of attention. X-axis: standardised effect, −0.2 to 1.0.
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John Pearson @jmxpearson.bsky.social · 16/09/2026
**Second** job in computational/theoretical neuro at @dukemedschool.bsky.social! Really great opportunity, great colleagues.
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Nanthia Suthana @suthanalab.bsky.social · 16/09/2026
New tenure-track faculty position at Duke! The Neurobiology department is looking for a computational neuroscientist. Join a highly collaborative & interdisciplinary community. My time at Duke has been amazing so far & we would love the opportunity to collaborate with you! Applications due Dec 1.
academicjobsonline.org
Duke University, Neurobiology
Job #AJO32697, Tenure Track Assistant Professor - AI/ML Neurobiology, Neurobiology, Duke University, Durham, North Carolina, US
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Jeremiah Cohen @jeremiahycohen.bsky.social · 16/09/2026
Happy to share the version of record of our locus coeruleus paper here: www.nature.com/articles/s41... Prior thread on some of our discoveries in this study: bsky.app/profile/jere...
nature.com
Topographic structure and function of locus coeruleus noradrenaline neurons - Nature
Dorsal and ventral noradrenergic neurons in the locus coeruleus form topographic subpopulations whose projection patterns and activity encode choice switching, reward-prediction errors and disregard o...
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Steve Fleming @smfleming.bsky.social · 16/09/2026
📖 New review out today in @natrevneuro.nature.com: Towards an integrative neuroscience of metacognition 🧠🧪 Full-text link to the paper is here: rdcu.be/9YK3mF7dYhFa
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Earl K. Miller @earlkmiller.bsky.social · 16/09/2026
Alpha/beta waves in working memory. Alpha reflects the quality of the memory and beta waves track confidence. Distinct oscillatory neural rhythms support representational precision and confidence in working memory www.cell.com/current-biol... #neuroscience
cell.com
Distinct oscillatory neural rhythms support representational precision and confidence in working memory
Di et al. show that two distinct oscillatory neural rhythms encode different aspects of working memory uncertainty. Alpha-band activity carries probabilistic memory representations whose precision pre...
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CuttingEEG @cuttingeeg.bsky.social · 15/09/2026
🌱 #CuttingGardens 2026 in 6 Days! International M/EEG event cuttingeeg.org/cuttinggarde... 🌍 Can’t travel? No problem! Join the Global Program online: 1️⃣ Apply to #EEG101 before Sept. 18 → www.eeg101.eu/join/ 2️⃣ Accept your invite 3️⃣ Join online 🧠Let’s sync our international brain networks!
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Simon Kirby @simonkirby.bsky.social · 15/09/2026
We uncovered spontaneous evolution of new languages in populations of AI agents. This creates extraordinary scientific opportunities but also safety risks. New blog post with about how we created a platform for studying this safely. www.schmidtsciences.org/glossogen/
schmidtsciences.org
AI Agents Evolve Their Own Languages
Schmidt Sciences’ new AI Agents Evolving Communication and Coordination pilot program works toward advancing foundational research on multi-agent communication and coordination, and building an open-s...
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Camille Grasso @grassocamille.bsky.social · 01/04/2026
Happy to share our new preprint: Uncovering the representational geometry of durations Is time represented along a single mental timeline? We combine behaviour + EEG to show that duration is organised in a richer, multidimensional space. w/ @lnalborczyk.bsky.social & @virginievanw.bsky.social
biorxiv.org
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