Camille Grasso

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 🤓

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.

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...

🚨 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...

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...

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...

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...

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-...

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

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...

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

Seeing the Mind, Educating the Brain

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...

Happy to have contributed together with @lgrabot.bsky.social to discuss #traveling_waves and cognition!

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...

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/...

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.

🚨🚨🚨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!

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...

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...

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 ...

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

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!

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!

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...

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...

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...

"Ex vivo cortical circuits learn to predict and
spontaneously replay temporal patterns"

Colloquium “Seeing the mind, educating the brain” Oct 1-3, 2025, at Collège de France.
www.unicog.org/seeing-the-m...

SEEKING POSTDOCS AND STUDENTS for computational/experimental collaboration on neuroscience of human rhythm perception! Thread!

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_...

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...

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

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...

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.

{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/

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.

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...

@lnalborczyk.bsky.social is fantastic - anyone interested in voice neuroscience and cognitive modeling please keep tabs !

Episodic and associative memory from spatial scaffolds in the hippocampus - Nature A neocortical–entorhinal–hippocampal network model based on grid cell states recapitulates experimental results and reconciles the spatial, associative and episodic memory roles of the hippocampus.

New modelling of how episodic memory can arise from spatial mapping, just out in Nature:

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

If you’re interested in a PhD at Oxford in the life sciences (including Neuroscience!) then you should consider applying for this newly funded Doctoral Training Program. It is the successor to the highly successful BBSRC Interdisciplinary Bioscience DTP at Oxford. Deadline 29th January!