My paper exploring EEG phase dynamics across sleep and retrieval training has just been published online! This paper summarises the work I conducted with Sebastian Michelmann and Simon Hanslmayr, during my PhD. The paper is open access, so feel free to give it a read🧠 direct.mit.edu/imag/article...

Phase similarity between similar objects indicates representational merging across retrieval training but not sleep

Abstract. Retrieval training (i.e., cued recall) is theorised to induce rapid memory consolidation, similarly to sleep. Across consolidation, related neural representations become increasingly similar...

direct.mit.edu

Excited to share that our paper has now been published in PLOS Computational Biology! journals.plos.org/ploscompbiol...

The curriculum effect in visual learning: The role of readout dimensionality

Author summary Learning new skills is fundamental to humans and animals. However, a key challenge in learning is generalization: applying learned skills to new situations not encountered during traini...

journals.plos.org

Charlotte Volk@charlottevolk.bsky.social · 10mo ago

🚨 New preprint alert! 🧠🤖 We propose a theory of how learning curriculum affects generalization through neural population dimensionality. Learning curriculum is a determining factor of neural dimensionality - where you start from determines where you end up. 🧠📈 A 🧵: tinyurl.com/yr8tawj3

My latest post to Neural Flows! “What’s generative about generative network neuroscience" Introducing a new field of network neuroscience covered in my forthcoming book Brain Flows Gaining fundamental understanding of cognition by modeling connectivity-constrained neural generative processes

What’s generative about generative network neuroscience

Getting to a new level of understanding in neuroscience and cognitive science

neuralflows.substack.com

💡What makes some ideas spring to mind while others we have to reach for? We built an #NLP #fMRI #MachineLearning framework to find out. New study from our lab, led by @kaixiangzhuang.bsky.social out in @natcomms.nature.com 🧵 🔗 www.nature.com/articles/s41... #CognitiveNeuroscience #Fudan #ISTBI

Excited to finally share our new paper in @natcomms.nature.com: Hippocampal ripples initiate cortical dimensionality expansion for memory retrieval www.nature.com/articles/s41... With @s-michelmann.bsky.social and @doellerlab.bsky.social

Hippocampal ripples initiate cortical dimensionality expansion for memory retrieval - Nature Communications

How past experiences are reconstructed from memory remains unclear. Here the authors used intracranial EEG to show that hippocampal ripples reshape the geometry of cortical representations, supporting...

nature.com

New paper on SLIMM, which replicates behavioural finding of a U-shape between expectancy and memory but fails to find interaction between subsequent memory effects and expectancy in HC & mPFC. @praykov.bsky.social royalsocietypublishing.org/rstb/article...

Out today on @nature.com! Connecting neural specialization, population geometry, and their functional implications across the cortical hierarchy. So grateful for this beautiful and fun collaboration with @shuqiw.bsky.social, S Muscinelli, L Paninski, and @stefanofusi.bsky.social!

Rarely categorical, highly separable representations along the cortical hierarchy - Nature

Cortical circuits prioritize diversity over categorical structure, supporting a computational regime geared towards high-dimensional, highly separable neural representations.

nature.com

Join us at @mpicbs.bsky.social as a fully funded 4-year PostDoc (m/f/d) in Cognitive & Computational Neuroscience (Area: Functions of the Perirhinal Cortex). Excellent infrastructure with a leading scientific network. Apply by 17 August: recruitingapp-5218.de.umantis.com/Vacancies/44...?

Categories groups things into meaningful concepts. This review looks at how rodents do this. What they can and can’t learn, which brain circuits are involved, and how studying them could reveal the basic neural mechanisms. doi.org/10.1146/annu... #neuroscience

Learning and Representation of Categories in the Rodent Brain

Category learning—the ability to group individual objects, experiences, and concepts into higher-level abstract representations—is fundamental to fast, flexible decision-making and generalization of k...

doi.org

New paper out! We used MEG to catch the brain learning hidden patterns buried in noise and found two separate mechanisms at play: fast predictive activity (up to 500ms before a stimulus!) followed by slower representational change that tracks actual learning. www.nature.com/articles/s41...

We're finally getting the tools to study replay in humans. But why bother? What can we learn from it that we don't know from rodent recordings? Our thoughts are now out in a new TICS Forum Great fun writing this w @smfleming.bsky.social + @maritpetzka.bsky.social authors.elsevier.com/sd/article/S...

What can we learn from studying replay in humans?

Noninvasive methods are making it possible to study neural replay in humans. Although focused on alignment with rodent findings, human research often …

authors.elsevier.com

What if much of human thought is navigation? 🧠 New open-access review: I argue that the DMN + hippocampal–entorhinal system form a domain-general engine for "mental navigation" across physical and abstract spaces (e.g. social, conceptual, and value). www.sciencedirect.com/science/arti...

🧠 New preprint! How well can current algorithms *actually* detect neural "replay" in the human brain under absolutely optimal conditions? We built FASTIMAGES: A combined MEG + fMRI benchmark with KNOWN neural sequences, so replay-detection methods can finally be validated against a ground truth.

FASTIMAGES: Validating replay detection methods in human neuroimaging

A combined MEG + fMRI benchmark dataset with known neural sequences to validate replay detection methods (TDLM and SODA).

cimh-clinical-psychology.github.io

Join us at the Max Planck Institute in Leipzig as a fully funded 4-year postdoc position (m/f/d) in Cognitive and Computational Neuroscience (Area: Social Cognition). Excellent infrastructure with a leading scientific network. Apply by 13 July: recruitingapp-5218.de.umantis.com/Vacancies/44...?

Excited to share our new review in Trends in Neuroscience with Gouki Okazawa @gouki-okazawa.bsky.social : "The 'neat' and 'messy' in task-dependent neural geometry and computation" where we reviewed what we know about the 'task-manager' in the brain. A thread 👇

📢 New paper out in @nathumbehav.nature.com: we identify a previously undescribed fast thalamic oscillation (~19–45 Hz) in rare intracranial human recordings that appears specifically during wakefulness and REM sleep — but disappears during NREM sleep. www.nature.com/articles/s41...

Very excited to have this officially published: A neural state space for episodic memories A brief thread... #neuroskyence #psychscisky #cognition 🧪 @cp-trendscognsci.bsky.social

A neural state space for episodic memories

Episodic memories are highly dynamic and change in nonlinear ways over time. This dynamism is not captured by existing systems consolidation theories …

sciencedirect.com

New preprint! Last year we showed humans adapt attention in a dimension-specific way when multiple things compete for attention. Now we read out the neural dynamics of this adaptation. doi.org/10.1101/2025.11.16.688701 w/ @mikefreund.bsky.social @theazalabak.bsky.social @wouterkool.bsky.social

🥳 Super excited to share our lab's first preprint, led by @hungyun.bsky.social "Distinct tasks engage shared neural subspaces in human hippocampus and anterior cingulate cortex" www.biorxiv.org/content/10.6... 🧵(1/9)

Very excited to share our latest paper led by @nbinish.bsky.social in @natneuro.nature.com We demonstrate how a communication subspace channels higher-dimensional PFC dynamics into lower-D motor activity to enable efficient behavior using human iEEG. www.nature.com/articles/s41... #neuroskyence

A communication subspace relays context-dependent actions from human prefrontal to motor cortex - Nature Neuroscience

Context-dependent behavior selects actions according to task demands. Using direct brain recordings in humans, Binish et al. uncover how coordinated population activity efficiently channels informatio...

nature.com

Our new study (Debray*, Karami* et al.) explores how the brain encodes basic math concepts (integers, fractions, shapes). Samuel Debray led the 7T fMRI & behavioral work; I led the MEG. @danielavalerio.bsky.social @chrplr.bsky.social @standehaene.bsky.social www.biorxiv.org/content/10.6...

Latest preprint from @bodybrainbehaviour.bsky.social by @teresaberther.bsky.social and @martinasaltafossi.bsky.social on cardio-respiratory modulation of arousal and excitability states in the human brain - overlap, distinctions, and implications for brain-body #neuroskyence. osf.io/preprints/ps...

🚨 New preprint w/ Valerio Rubino and Peter Dayan: how do people discover and use compositional structure under constraints? osf.io/preprints/ps... A key factor is a simple heuristic that favors reuse of repeated and symmetric fragments across scales, is robust to time pressure, and sped up RTs 🧵👇

Out now in @natcomms.nature.com, our latest from @bodybrainbehaviour.bsky.social: Visual perception, oscillatory excitability markers, and network connectivity are modulated by the breathing rhythm - depending on how much you know about the stimulus. #brainbody #neuroskyence

1/ Another @iclr-conf.bsky.social paper thread! Do you want to make SOTA probabilistic predictions using transformers & your dataset is a *set* (not a sequence or time series), so you care about permutation invariance... but also efficiency? Keep reading, we have exactly what you need. 👇

This study presents a unified computational framework of meta-control that explains how people regulate cognitive control across different timescales and contexts, accounting for both rapid, short-lived adjustments and slower, more enduring adaptations. www.nature.com/articles/s44...

Cognitive flexibility versus stability via activation-based and weight-based adaptations - Communications Psychology

This study presents a unified computational framework of meta-control that explains how people regulate cognitive control across different timescales and contexts, accounting for both rapid, short-liv...

nature.com

Super excited to share this preprint! How do we disentangle underlying structure from the particular features of a learning episode to benefit future learning? We find that memory reactivation during sleep promotes this structure abstraction process. www.biorxiv.org/content/10.6...

Can we really measure replay in humans using MEG with current methods? In our most recent paper we simulated replay under realistic conditions via a novel hybrid approach with astonishing results. we're delighted that it has now been published @elife.bsky.social! elifesciences.org/articles/108...

TDLM-Resting-State Simulation

How sensitive is TDLM really? Can we actually find replay when we know it is present?

cimh-clinical-psychology.github.io

1/N: Dear colleagues, I would like to share a new paper on the subiculum, part of my PhD with the Neural Computation Group @andrejbicanski.bsky.social @mpicbs.bsky.social . We present “A theory of subicular function and generalized vector coding” that we call Disco. www.biorxiv.org/content/10.6...

Now in eLife as a reviewed preprint too elifesciences.org/reviewed-pre...

Leonie Glitz@glitzleonie.bsky.social · 6mo ago

Interested in cognitive maps? Wondering how you should best train your participants? Luckily for you, we have investigated just that! Very excited to share a preprint from my PhD in which we show how initial training curriculum affects the cognitive maps we form osf.io/preprints/ps... [1/6]