We went back to the drawing board to think about what information is available to the visual system upon which it could build scene representations.

The outcome: a self-supervised training objective based on active vision that beats the SOTA on NSD representational alignment. 👇

How prediction error drives memory updating: role of locus coeruleus–hippocampal interactions The brain constantly generates predictions based on one’s knowledge of the world, as captured in memory. When these predictions are in error, our know…

How prediction error drives memory updating: role of locus coeruleus–hippocampal interactions

Looks interesting, from Groves et al

#neuroskyence #psychscisky #cognition

Disrupted Sleep: Mechanisms Linking Sleep Deprivation, Neurovascular Dysfunction, and Metabolic Pathways at Leeds Beckett University on FindAPhD.com PhD Project - Disrupted Sleep: Mechanisms Linking Sleep Deprivation, Neurovascular Dysfunction, and Metabolic Pathways at Leeds Beckett University, listed on FindAPhD.com

Please repost! Fully funded four-year PhD studentship opportunity on sleep deprivation and neurovascular dysfunction on the BBSRC Yorkshire Bioscience Doctoral Training Partnership, including annual stipend, research costs and home tuition fees tinyurl.com/ms7v2pcx

Time, space, memory and brain–body rhythms - Nature Reviews Neuroscience Understanding how the brain represents experienced time and how representations of space and time are integrated to form episodic memories has been a goal of much neuroscientific research. In this Per...

Time, space, memory and brain–body rhythms — a Perspective by György Buzsáki

#neuroscience #neuroskyence

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

Aligning machine and human visual representations across abstraction levels - Nature Aligning foundation models with human judgments enables them to more accurately approximate human behaviour and uncertainty across various levels of visual abstraction, while additionally improving th...

What aspects of human knowledge do vision models like CLIP fail to capture, and how can we improve them? We suggest models miss key global organization; aligning them makes them more robust. Check out LukasMuttenthaler's work, finally out (in Nature!?) www.nature.com/articles/s41... + our blog! 1/3

Rhythmic light stimulation elicits multiple concurrent neural responses that separably shape human perception Rhythmic light stimulation offers solutions to innumerable cognitive and neurological disorders. However, like any neuromodulatory technique, responses to rhythmic light stimulation are highly variabl...

Delighted to share our new preprint!

We show that rhythmic light stimulation produces multiplexed oscillatory responses at fundamental and harmonic frequencies that are spatially, temporally, and functionally distinct.

Read on for the details [1/6]

www.biorxiv.org/content/10.1...
#neuroskyence

View from your office onto Giessen and surrounding villages.

Please repost! I am looking for a PhD candidate in the area of Computational Cognitive Neuroscience to start in early 2026.

The position is funded as part of the Excellence Cluster "The Adaptive Mind" at @jlugiessen.bsky.social.

Please apply here until Nov 25:
www.uni-giessen.de/de/ueber-uns...

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 …

I wrote a thing on episodic memory and systems consolidation. I hope you all enjoy it and/or find it interesting.

A neural state space for episodic memories

www.sciencedirect.com/science/arti...

#neuroskyence #psychscisky #cognition 🧪

Semantic Tuning of Single Neurons in the Human Medial Temporal Lobe The Medial Temporal Lobe (MTL) is key to human cognition, supporting memory, emotional processing, navigation, and semantic coding. Rare direct human MTL recordings revealed concept cells, which were ...

🚨Preprint: Semantic Tuning of Single Neurons in the Human Medial Temporal Lobe

1/8: How do human neurons encode meaning?
In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain:

doi.org/10.1101/2025...

Understanding the flexibility of working memory: Compositionality, generative processing, anchors and holistic representations The typical conception of working memory is a mechanism to temporarily hold multiple discrete objects in service of other cognitive tasks in an item-b…

Understanding the flexibility of working memory: Compositionality, generative processing, anchors and holistic representations
www.sciencedirect.com/science/arti...
#neuroscience

I’m excited to share my recent preprint on a neural network model of free recall that learns multiple memory strategies including the memory palace!

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

Really enjoyed working on this with Luise @graichenl.bsky.social Congrats! 🎉

Another piece of evidence highlighting how important visual space and the oculomotor system are for humans (and other primates). 👀🧠

New preprint written with the wonderful philosopher William Ramsey: Mental Representation Without Neural Representation: Understanding The Evidence osf.io/preprints/ps...

What makes an image memorable? And can we predict image memorability using pretrained vision encoders? We explored activations, attention distributions, image patch uniformity and sparse autoencoder losses using image representations across the layers of CLIP, DINOv2 and SigLIP2.

Can Only Meat Machines be Conscious? New paper in Trends in Cognitive Sciences, free download until November 26 with this URL: authors.elsevier.com/a/1luwh4sIRv...

Memory problems will change how you see the world...literally 👀

Across two new papers, we examined the eye movement patterns of younger adults, older adults, individuals with mild cognitive impairment, and amnesic cases.

1/5

I’m pleased to share our new paper, “Hippocampal ripple diversity organizes neuronal reactivation dynamics in the offline brain”, out in @cp-neuron.bsky.social !

With @vitorlds.bsky.social and David Dupret, we show that diversity in ripple current profiles shapes reactivation dynamics

Exciting work from Fei Wang and @andrejbicanski.bsky.social. A new circuit-level model of the subiculum explains vector trace cells and highlights how mismatch detection in the CA1–subiculum pathway updates spatial memory, extending the canonical hippocampal model!

1/3: What happens in the #brain when moving your eyes? Using closed-loop #EyeTracking with simultaneous intracranial #EEG in humans, we found that: *Saccades boost visual responses but reduce network connectivity. *Excitability changes and visual features are coded along the saccade–fixation cycle.

New landscape of the diagnosis of Alzheimer's disease Alzheimer's disease involves a drastic departure from the cognitive, functional, and behavioural trajectory of normal ageing, and is both a dreaded and highly prevalent cause of disability to individu...

www.thelancet.com/journals/lan...

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...

Neuronal signatures of successful one-shot memory in mid-level visual cortex High-capacity, one-shot visual recognition memory challenges theories of learning and neural coding because it requires rapid, robust, and durable representations. Most studies have focused on the hip...

New preprint! How can you remember an image you saw once, even after seeing thousands of them? We find a role for humble mid-level visual cortex in high-capacity, one-shot learning. doi.org/10.1101/2025.09.22.677855 🧵🧪1/

Our article is out in Annual Review of Vision Science: “Visual Image Reconstruction from Brain Activity via Latent Representation”
We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...

Interested in hippocampal dynamics and their interactions with cortical rhythms?

Our physically constrained model of cortico-hippocampal interactions - complete with fast geometrically informed numerical simulation (available at embedded github repo)

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

👩‍💻 New preprint out (FIRST one of my PhD journey) with the incredible @lindedomingo.bsky.social @ortiztudela.bsky.social @gonzalezgarcia.bsky.social

"From sudden perceptual learning to enduring engrams: A representational perspective" 🧠

doi.org/10.31234/osf...

As always, brilliant stuff by @s-michelmann.bsky.social

Efficient coding in working memory is adapted to the structure of the environment Working memory (WM) relies on efficient coding strategies to overcome its limited capacity, yet how the brain adaptively organizes WM representations to maximize coding efficiency based on environment...

Happy to share our new preprint. We found that brain adaptively switches between relational and item-based coding strategies based on the structure of memory contents.
@doellerlab.bsky.social

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

Exciting study linking oculomotor behaviour and neural activity!

Convergent transformations of visual representation in brains and models A fundamental question in cognitive neuroscience is what shapes visual perception: the external world's structure or the brain's internal architecture. Although some perceptual variability can be trac...

🧠🚨 How does the brain represent what we see? Is visual input transformed to form these representations in similar ways across people and even AI models like DNNs?

We explore these questions using fMRI and large-scale representational alignment analyses.

🔗 arxiv.org/abs/2507.13941

Thread👇 (1/8)

🧠New preprint!
We show that different priorities shape the neural coding of planned actions in working memory. Using EEG+RSA, we find that expected interference leads to anticipatory changes in representational geometry, beyond simple maintenance.

📄 doi.org/10.1101/2025...
🗂️ Data/code: osf.io/5fg7a