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Camille Grasso

@grassocamille.bsky.social
705 followers 368 following 28 posts

Cognitive neuroscientist at LPNC / CNRS (France) & Wake Forest University (USA). Focused on subjective experience of duration, conceptual and neural geometry of time, EEG, iEEG, and voltammetry. grassocamille.netlify.app

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Reposted by Camille Grasso
Arthur Prat @arthurpr4t.bsky.social · 09/09/2026
We derived six laws of psychophysics from a single efficient-coding equation. The laws include Weber's law; scaling laws in visual working memory (which had been noted before, but with unclear theoretical justification); Wei & Stocker's law of human perception; arthurprat.com/pdfs/Prat-Ca...
arthurprat.com
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Virginie van Wassenhove @virginievanw.bsky.social · 06/08/2026
A very interesting coverage of the recent work from the lab www.nature.com/articles/s41... conducted by @matthewrlogie.bsky.social & @grassocamille.bsky.social @brainthemind.bsky.social @unicog.bsky.social
nature.com
Nested contextual change and the temporal compression of episodic memory - Scientific Reports
Scientific Reports - Nested contextual change and the temporal compression of episodic memory
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Ladislas Nalborczyk @lnalborczyk.bsky.social · 28/07/2026
Very happy to share that our INNERSPEECH project has been funded by the #ANR! We'll investigate the cognitive and neural bases of inner speech diversity and build a neurocomputational model of how it emerges during development. One PhD and one postdoc position will open soon; stay tuned!
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Quentin Bacquelé @quentinbacquele.bsky.social · 23/07/2026
1/ The world's songbirds sing in just 8 basic sounds. And where a bird lives decides which ones it uses. My first PhD paper is out now in @science.org (www.science.org/doi/10.1126/science.aee6239) Here is what we found:
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Ben Hayden @benhayden.bsky.social · 14/07/2026
New preprint from the lab! “A number simplex in the human medial temporal lobe” led by @hanlin-zhu.bsky.social 🧵 www.biorxiv.org/content/10.6...
biorxiv.org
A number simplex in the human medial temporal lobe
Humans handle numbers nimbly, suggesting a richer neural manifold structure than the prevalent mental number line model. In populations of medial temporal lobe (MTL) neurons in humans performing two s...
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Pascal Mamassian @mamassian.bsky.social · 17/06/2026
Open post-doc position in the study of perceptual fluctuations Position: post-doctoral (2 years) Locations: Paris, France (Ecole Normale Supérieure / CNRS) and Lausanne, Switzerland (University of Lausanne / CHUV) Deadline: September 4th, 2026 Start Date: Fall 2026 (with some flexibility) (1/8)
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Ishan Singhal @singhal.bsky.social · 17/06/2026
If our experiences unfold like a stream over time, how would this stream unfold in other animal species? Together with @birchlse.bsky.social and @anilseth.bsky.social, a review of temporal illusions and a path for temporal phenomenology in animals! a 🧵/n www.cell.com/trends/cogni...
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tal boger @talboger.bsky.social · 26/05/2026
Complexity is ubiquitous in the world around us. But different stimuli are complex for different reasons. Does the mind nevertheless represent a ‘unified’ notion of complexity across domains? In @nathumbehav.nature.com, @chazfirestone.bsky.social & I show the answer is: yes! osf.io/preprints/ps...
Complex and simple stimuli across a variety of domains. Even though these stimuli are complex for different reasons, we suggest the mind unifies them by their complexity. https://osf.io/preprints/psyarxiv/p9xe3_v1
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Ben Hayden @benhayden.bsky.social · 06/05/2026
New paper from the lab! "Plasticity and language in the anaesthetized human hippocampus" www.nature.com/articles/s41...
nature.com
Plasticity and language in the anaesthetized human hippocampus - Nature
In the hippocampus, complex processing of sensory stimuli occurs even in the unconscious state.
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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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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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Reposted by Camille Grasso
Joao Barbosa @jbarbosa.org · 25/03/2026
A heat map of left vs right Parisian voters put next to a heat map of number of cats in Paris for no particular reason
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Camille Grasso @grassocamille.bsky.social · 13/03/2026
www.bbc.com/news/science...
bbc.com
Why is it so hard to swat a fly?
How tiny creatures with small brains outwit us so easily.
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Brynn Sherman @brynnsherman.bsky.social · 27/02/2026
Objects warp space in our mind, and events warp time in our mind. @samiyousif.bsky.social and I teamed up to review the work in these two literatures and suggest that there may be deep connections across them (with analogous influences of objects on space and events on time).
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Matthew Logie @matthewrlogie.bsky.social · 27/02/2026
1/6 Happy to share our new paper with @grassocamille.bsky.social and @virginievanw.bsky.social: "Nested contextual change and the temporal compression of episodic memory". www.biorxiv.org/content/10.6...
biorxiv.org
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Kevin Healy @healyke.bsky.social · 24/02/2026
Our new paper is now out showing how time perception in animals is linked to their ecology. Using data from 237 species we show temporal perception is faster in species that fly and pursuit predators www.nature.com/articles/s41... 🌐
nature.com
Pace of ecology drives the tempo of visual perception across the animal kingdom
Nature Ecology & Evolution - Using phylogenetic comparative methods across 237 species from disparate phyla, the authors show that species with fast-paced ecologies have higher temporal...
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Camille Grasso @grassocamille.bsky.social · 17/02/2026
I can’t quite believe I’m writing this, but… 🇺🇸✨
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Perrine Porte @perrineporte.bsky.social · 26/01/2026
Are you sure there’s no mosquito in the room? With @matanmazor.bsky.social, Chichi Dézier, @nfaivre.bsky.social & Louise Goupil, we study how we combine multiple sensory sources to be confident in presence and absence: While detection rely on one modality, confidence requires both channels to align!
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Eric Leung @erictleung.bsky.social · 13/01/2026
still one of the best explanations of principal component analysis (pca), explained at different levels from layman to the more math inclined stats.stackexchange.com/a/140579/132...
stats.stackexchange.com
Making sense of principal component analysis, eigenvectors & eigenvalues
In today's pattern recognition class my professor talked about PCA, eigenvectors and eigenvalues. I understood the mathematics of it. If I'm asked to find eigenvalues etc. I'll do it correctly li...
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Kobe Desender @kobedesender.bsky.social · 16/12/2025
Modeling Speed–Accuracy Trade-Offs in the Stopping Rule for Confidence Judgments! Now out in #PsychologicalReview (aka we can finally say we do comp models)! Led by @stefherregods.bsky.social @lucvermeylen.bsky.social @pierreledenmat.bsky.social Paper: desenderlab.com/wp-content/u... Thread ↓↓↓
desenderlab.com
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Ladislas Nalborczyk @lnalborczyk.bsky.social · 11/12/2025
If you analyse time-resolved data (M/EEG, iEEG, pupillometry, force recordings…) and feel limited by cluster-based permutation tests (CBPTs); especially when trying to determine when an effect starts or ends; you may want to try our new R package: lnalborczyk.github.io/neurogam/ #rstats #brms #EEG
lnalborczyk.github.io
Modelling time-resolved electrophysiological data with Bayesian generalised additive multilevel models
Providing utility functions for fitting Bayesian generalised additive multilevel models (BGAMMs) to time-resolved data (e.g., M/EEG, pupillometry, mouse-tracking, etc) and identifying clusters.
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Martin Wiener @martinwiener.bsky.social · 05/12/2025
Hey, listen! Very excited for the next @timingresforum.bsky.social virtual Journal Club! Farzaneh Najafi will be giving a talk on her recent work on intrinsic timing and ramping dynamics in visual and parietal cortices. Registration link below! Wed 12/10 @ 10am EST mailchi.mp/864719714f87...
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François Stockart @francoisstock.bsky.social · 13/10/2025
Our review on intracranial research on consciousness is now out as a preprint: arxiv.org/abs/2510.08736. I believe that intracranial recordings provide one of the most exciting avenues for research on consciousness right now! If you agree, I think you will find the review interesting 🤓
arxiv.org
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...
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Ladislas Nalborczyk @lnalborczyk.bsky.social · 17/10/2025
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.
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Nicholas Menghi @nichome.bsky.social · 23/09/2025
🚨 New preprint! Impact of Task Similarity and Training Regimes on Cognitive Transfer and Interference 🧠 We compare humans and neural networks in a learning task, showing how training regime and task similarity interact to drive transfer or interference. www.biorxiv.org/content/10.1...
biorxiv.org
Impact of Task Similarity and Training Regimes on Cognitive Transfer and Interference
Learning depends not only on the content of what we learn, but also on how we learn and on how experiences are structured over time. To investigate how task similarity and training regime interact dur...
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Martin Wiener @martinwiener.bsky.social · 29/09/2025
Very exciting article by Farzaneh Najafi (not on Bsky?) on interval timing as an intrinsic property of visual cortex! Intrinsic interval timing, not temporal prediction, underlies ramping dynamics in visual and parietal cortex, during passive behavior www.biorxiv.org/content/10.1...
biorxiv.org
Intrinsic interval timing, not temporal prediction, underlies ramping dynamics in visual and parietal cortex, during passive behavior
Neural activity following regular sensory events can reflect either elapsed time since the previous event (temporal signaling) or temporal predictions and prediction errors about the next event (tempo...
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Martin Wiener @martinwiener.bsky.social · 10/09/2025
Very excited to have @brynnsherman.bsky.social join us for the next @timingresforum.bsky.social Virtual Journal Club! Please join us for what should be a very interesting talk on her recent work! Sign-up details below: mailchi.mp/28692b147cb0...
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Rui Zhe Goh @ruizhegoh.bsky.social · 04/09/2025
Great to have another paper with @chazfirestone.bsky.social @ianbphillips.bsky.social and the brilliant Hanbei Zhou out! In this paper we demonstrate that stimuli within events are perceived further apart in time — an event-based analog of “object-based warping”. psycnet.apa.org/record/2026-...
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Mark Ho @markkho.bsky.social · 04/08/2025
Job announcement 📢 @shawnrhoadsphd.bsky.social and I are looking for a joint postdoc interested in computational models of social interaction! Interested? If you’ll be at #rlc2025 (or I missed you at #cogsci2025) feel free to reach out with any questions! apply.interfolio.com/165809
apply.interfolio.com
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
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The Viking (Gunnar Blohm) @gunnarblohm.bsky.social · 29/07/2025
www.nature.com/articles/s41...
nature.com
A neural manifold view of the brain - Nature Neuroscience
Recent advances in neuroscience have revealed how neural population activity underlying behavior can be well described by topological objects called neural manifolds. Understanding how nature, nurture...
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Stanislas Dehaene @standehaene.bsky.social · 23/07/2025
If you are in Paris on October 1-3 : we are organizing a fantastic cognitive neuroscience conference at Collège de France, on topics ranging from language to math, education and consciousness, with many of my favorite scientists ! Full program here: www.unicog.org/seeing-the-m...
unicog.org
Seeing the Mind, Educating the Brain
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Laura Dugué @lauradugue.bsky.social · 23/07/2025
Happy to have contributed together with @lgrabot.bsky.social to discuss #traveling_waves and cognition!
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Edvard I Moser @edvardmoser.bsky.social · 26/06/2025
Your brain doesn’t just passively track time ⏳ - it structures it. In @Science.org we show that activity in 🧠 memory circuits (LEC) drifts constantly, but makes sharp jumps at key moments, segmenting life into meaningful events. (1/2) 👉 www.science.org/doi/10.1126/...
science.org
Event structure sculpts neural population dynamics in the lateral entorhinal cortex
Our experience of the world is a continuous stream of events that must be segmented and organized at multiple timescales. The neural mechanisms underlying this process remain unknown. In this work, we...
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Maciek Szul @maciekszul.bsky.social · 02/06/2025
🚨🚨🚨PREPRINT ALERT🚨🚨🚨 Neural dynamics across cortical layers are key to brain computations - but non-invasively, we’ve been limited to rough "deep vs. superficial" distinctions. What if we told you that it is possible to achieve full (TRUE!) laminar (I, II, III, IV, V, VI) precision with MEG!
Overview of the simulation strategy and analysis. a) Pial and white matter boundaries
surfaces are extracted from anatomical MRI volumes. b) Intermediate equidistant surfaces are
generated between the pial and white matter surfaces (labeled as superficial (S) and deep (D)
respectively). c) Surfaces are downsampled together, maintaining vertex correspondence across
layers. Dipole orientations are constrained using vectors linking corresponding vertices (link vectors).
d) The thickness of cortical laminae varies across the cortical depth (70–72), which is evenly sampled
by the equidistant source surface layers. e) Each colored line represents the model evidence (relative
to the worst model, ΔF) over source layer models, for a signal simulated at a particular layer (the
simulated layer is indicated by the line color). The source layer model with the maximal ΔF is
indicated by “˄”. f) Result matrix summarizing ΔF across simulated source locations, with peak
relative model evidence marked with “˄”. g) Error is calculated from the result matrix as the absolute
distance in mm or layers from the simulated source (*) to the peak ΔF (˄). h) Bias is calculated as the
relative position of a peak ΔF(˄) to a simulated source (*) in layers or mm.
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David Clewett @davidclewett.bsky.social · 19/05/2025
New from our lab: your brain doesn’t just remember time - it bends it. We show that the dopamine system responds to natural breakpoints in experience, and this relates to more stretched memories of time. Blinking also increases, signaling encoding of new memories. www.biorxiv.org/content/10.1...
biorxiv.org
Dopaminergic processes predict temporal distortions in event memory
Our memories do not simply keep time - they warp it, bending the past to fit the structure of our experiences. For example, people tend to remember items as occurring farther apart in time if they spa...
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Sophie Herbst @herbstso.bsky.social · 15/05/2025
Episode II of how are durations stored in working memory: Besides replicating our previous findings, we find that alpha power reflects a universal signature of WM load and mediates recall precision, even for abstract information like duration www.biorxiv.org/content/10.1... 🔽 co-authors below
biorxiv.org
Alpha power indexes working memory load for durations
Timing, that is estimating, comparing, or remembering how long events last, requires the temporary storage of durations. How durations are stored in working memory is unknown, despite the widely held ...
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Ladislas Nalborczyk @lnalborczyk.bsky.social · 10/05/2025
Please reach out if you’d like to come to sunny Aix-en-Provence (in the south of France) to work on anything related to the neural and computational bases of inner speech and/or mental/motor imagery!
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Joao Barbosa @jbarbosa.org · 10/05/2025
Please RT🙏 Reach out if you want to help understand cognition by modelling, analyzing and/or collect large scale intracortical data from 👩🐒🐁 We're a friendly, diverse group (n>25) w/ this terrace 😎 in the center of Paris! See👇 for + info about the lab We have funding to support your application!
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Ayelet Landau @ayeletlandau.bsky.social · 30/04/2025
1/2 ...and another exciting paper alert! Nir Ofir takes a close look at cognitive processes engaged in time estimation using EEG. www.jneurosci.org/content/45/1...
jneurosci.org
Motor Preparation Tracks Decision Boundary Crossing Rather Than Accumulated Evidence in Temporal Decision-Making
Interval timing, the ability of animals to estimate the passage of time, is thought to involve diverse neural processes rather than a single central “clock” ([Paton and Buonomano, 2018][1]). Each of t...
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Camille Grasso @grassocamille.bsky.social · 07/04/2025
"Ex vivo cortical circuits learn to predict and spontaneously replay temporal patterns"
nature.com
Ex vivo cortical circuits learn to predict and spontaneously replay temporal patterns - Nature Communications
Because the ability to tell time and make predictions anchor much of cognition, it has been proposed that they are computational primitives. Here, authors directly demonstrated that this is the case b...
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Joao Barbosa @jbarbosa.org · 01/04/2025
Colloquium “Seeing the mind, educating the brain” Oct 1-3, 2025, at Collège de France. www.unicog.org/seeing-the-m...
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joncannon-neuro.bsky.social @joncannon-neuro.bsky.social · 01/04/2025
SEEKING POSTDOCS AND STUDENTS for computational/experimental collaboration on neuroscience of human rhythm perception! Thread!
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Camille Grasso @grassocamille.bsky.social · 01/04/2025
Hey, I put together these slides a little while ago for a team meeting — just a quick intro to making Gantt charts in R. Nothing fancy, but if it helps someone, I'm happy :) grassocamille.netlify.app/files/gantt_...
grassocamille.netlify.app
A quick guide to mastering Gantt charts
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Brynn Sherman @brynnsherman.bsky.social · 03/03/2025
Our memories are not encoded with timestamps. How do we reconstruct the passage of time from our memories? In a new paper (accepted at Psych Science) @samiyousif.bsky.social and I demonstrate a powerful illusion of time that results from repeated experience osf.io/preprints/ps...
osf.io
OSF
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Andrew Chang @candrew123.bsky.social · 19/02/2025
The brain doesn’t process pitch in an unstructured way. Typically, it represents pitches in a mostly linear structure—think piano keyboard layout. BUT—just 0.3 seconds after hearing a sound, something wild happens: the brain briefly represents pitch in a helix-like structure! 5/n
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Olaf Hauk @olafhauk.bsky.social · 20/02/2025
I put some introductory #EEG / #MEG videos together, based on our introduction to #neuroimaging at the @mrccbu.bsky.social : youtube.com/playlist?lis.... They should cover the most common aspects of EEG/MEG analysis, including pre-processing, source estimation and functional connectivity.
youtube.com
Introduction to EEG/MEG data analysis - YouTube
Introduction to EEG/MEG data analysis playlist featuring multiple videos split into topics set out below. Presented by Olaf Hauk from the MRC CBU. EEG/MEG me...
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Vincent Arel-Bundock @vincentab.bsky.social · 05/02/2025
{tinyplot} 0.3.0 is out! 🚨 It's a lightweight #Rstats 📦 to draw beautiful and complex plots, using an ultra-simple and concise syntax. This is a massive release! @gmcd.bsky.social @zeileis.org and I worked hard to add tons of new themes and plot types. Check it out! grantmcdermott.com/tinyplot/
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Edvard I Moser @edvardmoser.bsky.social · 03/02/2025
Grid cells have a geometry in time. Thanks to @azvollan.bsky.social l & @rjgardner.bsky.social for this heroic discovery. @ercresearch.bsky.social #KiloNeurons @m-bmoser.bsky.social @kavlintnu.bsky.social @nature.com @kavlifoundation.bsky.social www.nature.com/articles/s41...
nature.com
Left–right-alternating theta sweeps in entorhinal–hippocampal maps of space - Nature
A study in rats proposes a mechanism for how the brain maps the surrounding environment, including places it has never seen, by alternating left and right forward sweeps in successive theta cycles.
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JJ Aucouturier @jjtokyo.bsky.social · 20/01/2025
@lnalborczyk.bsky.social is fantastic - anyone interested in voice neuroscience and cognitive modeling please keep tabs !
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