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lnalborczyk.bsky.social
Ladislas Nalborczyk
@lnalborczyk.bsky.social
780 followers 960 following 87 posts
Computational cognitive neuroscientist @cnrs.fr 🧠💻 Inner speech, mental/motor imagery, cognitive/statistical modelling, EMG, M/EEG, open and slow science. https://lnalborczyk.github.io
lnalborczyk.github.io
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lnalborczyk.bsky.social
Ladislas Nalborczyk @lnalborczyk.bsky.social · Sep 1
Happy to share a new preprint in which @paulbuerkner.com and I introduce a novel model-based approach for precisely estimating the onset and offset of M/EEG effects!

www.biorxiv.org/content/10.1...
Precise temporal localisation of M/EEG effects with Bayesian generalised additive multilevel models
Time-resolved electrophysiological measurements such as those obtained through magneto- and electroencephalography (M/EEG) offer a unique window onto the neural activity underlying cognitive processes...
www.biorxiv.org
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Reposted by Ladislas Nalborczyk
martinwiener.bsky.social
Martin Wiener @martinwiener.bsky.social · 10h
POSTDOC Opening: I'm hiring a postdoc to work with me, @ayeletlandau.bsky.social, and Yuval Benjamini on a 4-year NSF funded project to understand timing and memorability in the visual system. fMRI, EEG, eye-tracking all included.

If interested, please DM or email me for more information!
martinwiener.bsky.social
Martin Wiener @martinwiener.bsky.social · Aug 26
Thanks to NSF and BSF, we've received a CRCNS grant!! 🎉

I'll be working with the amazing @ayeletlandau.bsky.social and Yuval Benjamini to explore and understand how our sense of time and image memorability are linked. ⌛🧠

We have 2(!) post-doc opportunities available - details coming soon!
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Reposted by Ladislas Nalborczyk
sarangnemo.bsky.social
Sarang Dalal @sarangnemo.bsky.social · 18h
📈🧠 We're looking for brains! 🧠📈
Postdoc + PhD positions are available to help pioneer fetal MEG with optically pumped magnetometers, measuring prenatal responses to sound and light to understand how we start making sense of the world even before we're born. 🐣

Please get in touch to hear more!
schematic of fetal OPM-MEG
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Reposted by Ladislas Nalborczyk
pjawinski.bsky.social
Philippe Jawinski @pjawinski.bsky.social · 1d
🧠 Why do some brains age faster than others?
🧬 Our new Nature Aging study of over 56,000 participants explores the genetics of the “brain age gap” — the difference between your brain’s biological and chronological age.
nature.com/articles/s43587-025-00962-7

Thread below 👇
Genome-wide analysis of brain age identifies 59 associated loci and unveils relationships with mental and physical health - Nature Aging
This genomic study of magnetic resonance imaging-based brain age in 56,348 people identifies 59 genetic loci, links brain aging to mental and physical health, and suggests high blood pressure and type 2 diabetes as causal factors of brain aging.
nature.com
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Reposted by Ladislas Nalborczyk
thomasp85.com
Thomas Lin Pedersen @thomasp85.com · 8d
🎨 Theming got a huge overhaul with the latest #ggplot2 release. In honour of that @teunbrand.bsky.social has written a comprehensive deep-dive into styling your plots, covering both old and new functionality. Grab a coffee and dive in!

#rstats
ggplot2 styling
This post discusses one function in ggplot2: `theme()`. Find out about the glamour of graphics in this deep-dive article.
www.tidyverse.org
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Reposted by Ladislas Nalborczyk
sampendu.bsky.social
Sam Schwarzkopf @sampendu.bsky.social · 6d
Long time in the making: our preprint of survey study on the diversity with how people seem to experience #mentalimagery. Suggests #aphantasia should be redefined as absence of depictive thought, not merely "not seeing". Some more take home msg:
#psychskysci #neuroscience

doi.org/10.1101/2025...
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Reposted by Ladislas Nalborczyk
jonathanamichaels.bsky.social
Jonathan A. Michaels @jonathanamichaels.bsky.social · 7d
The neural control & computation lab is recruiting!

If you're interested in using large-scale neural population recordings to study how the brain learns to produce complex and flexible behaviours, please get in touch.

www.ncclab.ca
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Reposted by Ladislas Nalborczyk
jorge-morales.bsky.social
Jorge Morales @jorge-morales.bsky.social · 8d
Imagine an apple 🍎. Is your mental image more like a picture or more like a thought? In a new preprint led by Morgan McCarty—our lab's wonderful RA—we develop a new approach to this old cognitive science question and find that LLMs excel at tasks thought to be solvable only via visual imagery. 🧵
Artificial Phantasia: Evidence for Propositional Reasoning-Based Mental Imagery in Large Language Models
This study offers a novel approach for benchmarking complex cognitive behavior in artificial systems. Almost universally, Large Language Models (LLMs) perform best on tasks which may be included in th...
arxiv.org
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Reposted by Ladislas Nalborczyk
drrickadams.bsky.social
Prof Rick Adams @drrickadams.bsky.social · 8d
Post doc job alert 📢! Announcing a v exciting job on a Wellcome-funded project in my group at UCL, looking at auditory hallucinations... Advert here 👀: rb.gy/230w8l - deadline is end of Oct. Please apply! 1/5
UCL – University College London
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
rb.gy
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Reposted by Ladislas Nalborczyk
fannycazettes.bsky.social
Fanny Cazettes @fannycazettes.bsky.social · 8d
Did you know that facial expressions reveal more than meets the eye? 🤯

Our new study shows that even a mouse's face 🐭 can reflect hidden neural computations🧠. Turns out, facial expressions are more than just emotions!

We're so excited to see this paper out @natneuro.nature.com 🎉
🔗: rdcu.be/eIQzO
Facial expressions in mice reveal latent cognitive variables and their neural correlates
Nature Neuroscience - The face reveals more than just emotion. Cazettes, Reato and colleagues show that subtle facial movements reveal hidden cognitive states, reflecting the brain’s ongoing...
rdcu.be
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Reposted by Ladislas Nalborczyk
matthieu-mx.bsky.social
Matthieu Chidharom @matthieu-mx.bsky.social · 10d
1/ Why are we so easily distracted? 🧠 In our new EEG preprint w/ Henry Jones, @monicarosenb.bsky.social and @edvogel.bsky.social we show that distractibility is associated w/ reduced neural connectivity — and can be predicted from EEG with ~80% accuracy using machine learning.
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Reposted by Ladislas Nalborczyk
monniauxd.bsky.social
David Monniaux @monniauxd.bsky.social · 10d
Vous pouvez soutenir ma proposition à la Cour des Comptes d'examiner les marchés publics de voyagistes, notamment dans l'enseignement supérieur et la recherche :
participationcitoyenne.ccomptes.fr/processes/co...

#esr #TeamESR #HelpESR
Les marchés publics de voyagistes - Contributions - 2025 - Aidez-nous à enrichir notre programme de travail - Plateforme de participation de la Cour des Comptes
Corps de la contributionLes administrations et opérateurs publics, notamment ceux de l'enseignement supérieur et de la recherche, font appel à des agences de voyage (FCM, TravelPlanet…) pour l'hôtelle...
participationcitoyenne.ccomptes.fr
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Reposted by Ladislas Nalborczyk
Nathan Faivre @nfaivre.bsky.social · 10d
Two recent #sEEG studies worth checking out if you're interested in evidence accumulation, #consciousness and #metacognition:

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

With @francoisstock.bsky.social, Dorian Goueytes, @meaperei.bsky.social, and many others!
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Reposted by Ladislas Nalborczyk
studenova.bsky.social
Alina Studenova @studenova.bsky.social · 12d
Simulations are fun! Especially with the right tools😉.
@willenjoy.bsky.social and I (with support from Mina Jamshidi) made a toolbox for simulating EEG/MEG data
meegsim.readthedocs.io
I put together a quick simulation using it for this short clip. Took me 10 minutes (no, really!)
#brainmovies
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Reposted by Ladislas Nalborczyk
giosuebaggio.bsky.social
Giosuè Baggio @giosuebaggio.bsky.social · 12d
Important fMRI/RSA study by @marcociapparelli.bsky.social et al. Compositional (multiplicative) representations of compounds/phrases in left IFG (BA45), mSTS, ATL; left AG encodes constituents, not their composition, weighing the right element more, vice versa IFG 🧠🧩
academic.oup.com/cercor/artic...
Compositionality in the semantic network: a model-driven representational similarity analysis
Abstract. Semantic composition allows us to construct complex meanings (e.g., “dog house”, “house dog”) from simpler constituents (“dog”, “house”). Neuroim
academic.oup.com
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Reposted by Ladislas Nalborczyk
liadmudrik.bsky.social
Liad Mudrik @liadmudrik.bsky.social · 13d
BBS just issued the call for commentaries, and we would LOVE to get yours!! The deadline is October 15th, and the reference number is BBS-D-24-00489R2. Looking forward to hearing what you think about our suggestions for how to study unconscious processes!
maorschreiber.bsky.social
Maor Schreiber @maorschreiber.bsky.social · Jul 29
📢Excited to share our paper, "Studying unconscious processing: Contention and consensus", published in BBS.
The paper is the result of a collaborative effort of 32 leading researchers in the field, from 10 different countries🌏

Check out the full ms👇
www.cambridge.org/core/journal...
Studying unconscious processing: Contention and consensus | Behavioral and Brain Sciences | Cambridge Core
Studying unconscious processing: Contention and consensus
www.cambridge.org
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Reposted by Ladislas Nalborczyk
hakwan.bsky.social
hakwan lau @hakwan.bsky.social · 14d
detection d' is generally overestimated, coz we tend to be too lazy to collect the necessary data in order to correct for the unequal variance between target present vs absent distributions. turns out we can do this for free - using reaction times data. so, let's do it~

osf.io/preprints/ps...

🧠📈
OSF
osf.io
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lnalborczyk.bsky.social
Ladislas Nalborczyk @lnalborczyk.bsky.social · 13d
Although our preprint is framed around M/EEG data, the general approach is equally applicable to other commonly used time-resolved signals (e.g., pupillometry, eye-, finger-, or mouse-tracking, EMG, etc).

R package available at github.com/lnalborczyk/...
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Reposted by Ladislas Nalborczyk
kobedesender.bsky.social
Kobe Desender @kobedesender.bsky.social · 13d
Introducing hMFC: A Bayesian hierarchical model of trial-to-trial fluctuations in decision criterion! Now out in @plos.org Comp Bio.
led by Robin Vloeberghs with @anne-urai.bsky.social Scott Linderman

Paper: desenderlab.com/wp-content/u... Thread ↓↓↓

#PsychSciSky #Neuroscience #Neuroskyence
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Reposted by Ladislas Nalborczyk
emilhvitfeldt.bsky.social
Emil Hvitfeldt @emilhvitfeldt.bsky.social · 14d
I'm exited to announce a new resource about making slides with quarto and revealjs. This book is the combination of all the work I have done in this area, reordered and polished up

There isn't a lot of new information yet, but this format allows me to add more easily

slidecrafting-book.com
#quarto
Screenshot of first page of slidecrafting-book.com website
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Reposted by Ladislas Nalborczyk
benediktehinger.bsky.social
Benedikt Ehinger @benediktehinger.bsky.social · 16d
S-CCS Lab PhD Position

3+2 year 100% TVL-13 position in '26 - open topic on the intersection of combined EEG-EyeTracking, Statistical Methods, Cognitive Modelling, VR/Mobile EEG, Vision ...

Apply via Max-Planck IMPRS-IS program until 2025-11-16 imprs.is.mpg.de

Read: www.s-ccs.de/philosophy
Fully funded PhD position via imprs-is A mobile EEG/EyeTracking setup EEG system photographed with backlight and glowing electrodes
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Reposted by Ladislas Nalborczyk
olejensen.bsky.social
Ole Jensen @olejensen.bsky.social · 20d
In our Trends in Cogn Sci paper we point to the connectivity crisis in task-based human EEG/MEG research: many connectivity metrics, too little replication. Time for community-wide benchmarking to build robust, generalisable measures across labs & tasks. www.sciencedirect.com/science/arti...
Confronting the connectivity crisis in human M/EEG research
The cognitive neuroscience community using M/EEG has not converged on measures of task-related inter-regional brain connectivity that generalize acros…
www.sciencedirect.com
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Reposted by Ladislas Nalborczyk
danclab.bsky.social
Decision, Action, and Neural Computation (DANC) lab @danclab.bsky.social · 21d
🚨Postdoc job offer🚨
Are you interested in beta bursts? Want to help drive methods for laminar inference with MEG? Now hiring a postdoc: run head-cast MEG experiments, help build our laMEG toolbox, and collaborate across Lyon–Marseille–Strasbourg. emploi.cnrs.fr/Offres/CDD/U...
Please repost! 🧠📈
Portail Emploi CNRS - Offre d'emploi - Post-doctorate - Beta bursts & laminar MEG (M/F)
emploi.cnrs.fr
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Reposted by Ladislas Nalborczyk
thomas-zhihao-luo.bsky.social
Thomas Luo @thomas-zhihao-luo.bsky.social · 21d
How does the brain decide? 🧠

Our new @nature.com paper shows that neural activity switches from an 'evidence gathering' to a 'commitment' state at a precise moment we call nTc.

After nTc, new evidence is ignored, revealing a neural marker for the instant when the mind is made up.

rdcu.be/eGUrv
Transitions in dynamical regime and neural mode during perceptual decisions - Nature
Simultaneous recordings were made of hundreds of neurons in the rat frontal cortex and striatum, showing that decision commitment involves a rapid, coordinated transition in dynamical regime and neura...
www.nature.com
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Reposted by Ladislas Nalborczyk
memovocab.bsky.social
memovocab @memovocab.bsky.social · 22d
[Tool] PsychoModels: "a platform that facilitates access to and communication about formal models in psychological science."

Database: www.psychomodels.org

Paper (free access): econtent.hogrefe.com/doi/10.1027/...
The PsychoModels Database – Facilitating the Exchange of Formal Models | Zeitschrift für Psychologie
econtent.hogrefe.com
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Reposted by Ladislas Nalborczyk
strijkers.bsky.social
Kristof Strijkers @strijkers.bsky.social · 25d
New exciting work from Elin Runnqvist’s group 📝:

Demonstrating that the brain’s medial frontal cortex monitors actions along a caudal-to-rostral gradient: simple movements at the back and complex speech errors at the front.

www.sciencedirect.com/science/arti...
From movements to words: action monitoring in the medial frontal cortex along a caudal to rostral prediction error gradient
Speech error monitoring recruits the medial frontal cortex (MFC) region in the human brain. Error monitoring-related activity in the MFC has been inte…
www.sciencedirect.com
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