Ladislas Nalborczyk

Hierarchical dynamic coding coordinates speech comprehension in the human brain | PNAS Speech comprehension involves transforming an acoustic waveform into meaning. To do so, the human brain generates a hierarchy of features that conv...

CogNeuroLanguage: new by @lauragwilliams.bsky.social & @jeanremiking.bsky.social (w Alec Marantz & me) shows how the brain maintains-updates continuously unfolding lang hierarchy during comprehension, anchoring ling theories to biological implementation
www.pnas.org/doi/10.1073/... #neuroskyence

It’s not the thought that counts: Allostasis at the core of brain function The authors review evidence that the primary function of the brain, supported by distributed neural systems, is the predictive regulation of physiology (i.e., allostasis). An example from Alzheimer’s ...

It’s not the thought that counts: Allostasis at the core of brain function
www.cell.com/neuron/fullt...
#neuroscience

If you attend #TRF4 in Tokyo and always wondered how humans represent durations, make sure to check out @grassocamille.bsky.social’s talk on Sunday morning!

Spoiler: Durations are mentally organised along (at least) three interpretable dimensions! More complex structure than we previously assumed.

Open immediately -- postdoc, speech motor control and speech motor neuroscience w/ C. Niziolek + B. Parrell, U. Wisconsin Madison blab.wisc.edu/join-the-lab/ [see Postdoctoral researchers tab]

Foraging in conceptual spaces: hippocampal oscillatory dynamics underlying searching for concepts in memory How does the brain access stored knowledge? It has been proposed that conceptual search engages neurocognitive processes similar to foraging in physical space. We tested this idea using intracranial E...

Foraging in conceptual spaces: hippocampal oscillatory dynamics underlying searching for concepts in memory

www.biorxiv.org/content/10.1...

A Systematic Review of Aperiodic Neural Activity in Clinical Investigations This systematic literature review examines aperiodic neural activity in clinical disorders, summarizing current findings and discussion topics. One-hundred seventy-seven reports from across 38 distin...

📜🎉 I'm happy to share that my review of clinical research investigating aperiodic neural activity is now published!

It examines 177 reports of aperiodic activity in clinical disorders summarizing findings, discussion topics, & making some recommendations!

onlinelibrary.wiley.com/doi/10.1111/...

Neural correlates of perceptual consciousness from within: a narrative review of human intracranial research Despite many years of research, the quest to identify neural correlates of perceptual consciousness (NCC) remains unresolved. One major obstacle lies in methodological limitations: most studies rely o...

Everything you always wanted to know about intracranial correlates of #consciousness (but were afraid to ask):
arxiv.org/abs/2510.08736

With @francoisstock.bsky.social, @liadmudrik.bsky.social, @meaperei.bsky.social and many great clinicians too busy for bsky!

#iEEG

YouTube video by 3Blue1Brown But what is a Laplace Transform?

Ever since I made a video about Fourier Transforms, one of the most requested topics on the channel has been its close cousin, the Laplace Transform.

I've been having a lot of fun animating a mini-series about this topic, and the main part is now out.

youtu.be/j0wJBEZdwLs

Neural Network Topologies Supporting Individual Variations in Vividness of Visual Imagery Vividness of visual imagery varies considerably across individuals, yet its neural underpinnings remain unclear. As emphasized in recent debates, a ke…

Neural network topologies supporting individual variations in vividness of visual imagery www.sciencedirect.com/science/arti... "Visual imagery vividness linked to left fusiform gyrus functional efficiency"; #neuroscience of mental imagery

The first publication of the #ERC project ‘LaDy’ is a fact and it’s an important one I think:

We show that word processing and meaning prediction is fundamentally different during social interaction compared to using language individually!
👀 short 🧵/1

psycnet.apa.org/fulltext/202...
#OpenAccess

New paper in Imaging Neuroscience by Lu Wang, Didong Li, and Zhengwu Zhang:

Riemannian diffusion kernel-smoothed continuous structural connectivity on cortical surface

doi.org/10.1162/IMAG...

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!

schematic of fetal OPM-MEG

📈🧠 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!

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.

🧠 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 👇

ggplot2 styling This post discusses one function in ggplot2: `theme()`. Find out about the glamour of graphics in this deep-dive article.

🎨 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

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...

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

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...

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. 🧵

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).

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

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...

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

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.

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...

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

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!

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

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

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...

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!

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...

🧠📈

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/...

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

Screenshot of first page of slidecrafting-book.com website

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