Lightnews — Scholar-powered news

Reposted

Dr Jen Ryan @drjenryan.bsky.social · 11h

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.

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Reposted

manfredic.bsky.social @manfredic.bsky.social · 6d

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

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ckerren.bsky.social @ckerren.bsky.social · 5d

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!

Andrej Bicanski @andrejbicanski.bsky.social · 5d

New preprint from the lab and great work by Fei Wang. We show how subiculum trace vector cells can be modeled consistent with known effects in CA1. Traces are driven by a mismatch learning rule to keep associative memories in line with experience.
www.biorxiv.org/content/10.1...

Dynamic updating of cognitive maps via traces of experience in the subiculum

In the classical view of hippocampal function, the subiculum is assigned the role as the output layer. In spatial paradigms, some subiculum neurons manifest as so-called boundary vector cells (BVCs), ...

www.biorxiv.org

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Reposted

Marcin Leszczynski @marcin-leszcz.bsky.social · 11d

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.

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Reposted

Hugo Spiers @hugospiers.bsky.social · 15d

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

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

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Reposted

Nicholas Menghi @nichome.bsky.social · 15d

🚨 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...

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...

www.biorxiv.org

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Reposted

Marlene Cohen @marlenecohen.bsky.social · 15d

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/

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...

doi.org

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Reposted

Yuki Kamitani @ykamit.bsky.social · 20d

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...

Visual Image Reconstruction from Brain Activity via Latent Representation | Annual Reviews

Visual image reconstruction, the decoding of perceptual content from brain activity into images, has advanced significantly with the integration of deep neural networks (DNNs) and generative models. T...

www.annualreviews.org

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Reposted

DrBreaky @drbreaky.bsky.social · 24d

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...

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Reposted

Johannah Völler @jvoeller.bsky.social · 26d

👩‍💻 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...

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ckerren.bsky.social @ckerren.bsky.social · Sep 5

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

Sebastian Michelmann @s-michelmann.bsky.social · Sep 5

🚀Excited to share our project: Canonical Representational Mapping for Cognitive Neuroscience. @schottdorflab.bsky.social and I propose a novel multivariate method to isolate neural representations aligned with specific cognitive hypotheses 🧵https://www.biorxiv.org/content/10.1101/2025.09.01.673485v1

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Reposted

Qiaoli Huang @qiaoli-huang.bsky.social · Aug 26

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...

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...

www.biorxiv.org

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ckerren.bsky.social @ckerren.bsky.social · Aug 25

Exciting study linking oculomotor behaviour and neural activity!

Matthias Nau @matthiasnau.bsky.social · Aug 25

Excited to share our new paper w/ @cibaker.bsky.social in @natcomms.nature.com linking active vision & memory!

We provide evidence that gaze reinstatement & neural reactivation are deeply related phenomena that jointly reflect the experiences constructed during recall. doi.org/10.1038/s414...
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Neural and behavioral reinstatement jointly reflect retrieval of narrative events - Nature Communications

When people recall a movie, their eye movements and brain activity resemble those observed during the viewing. These behavioral and neural reactivations are linked through a common process, likely ref...

doi.org

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Reposted

Pablo Marcos-Manchón @jazzmaniatico.bsky.social · Jul 25

🧠🚨 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)

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...

arxiv.org

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Reposted

Carlos González-García @gonzalezgarcia.bsky.social · Jul 24

🧠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

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Reposted

Javier Ortiz-Tudela @ortiztudela.bsky.social · Jul 16

Thrilled to share this resource: if you have a Psychology/CogNeuro background and you are considering embracing coding into your workflow, this guide is for you (or your students in this situation!). Thanks to @gonzalezgarcia.bsky.social for leading this initiative!

Carlos González-García @gonzalezgarcia.bsky.social · Jul 16

🧠💻 We (a bunch of colleagues at @cimcyc.bsky.social) just released a programming guide for psych & cog neuro students. Instead of a tutorial, this is a starting point: a collection of reflections, examples, and recommendations.

👉 Still growing, but ready to explore: wobc.github.io/programming_book/

Programming in psychological science

A practical introduction

wobc.github.io

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Reposted

Zhenglong Zhou @neurozz.bsky.social · Jul 16

Excited to share a new preprint w/ @annaschapiro.bsky.social! Why are there gradients of plasticity and sparsity along the neocortex–hippocampus hierarchy? We show that brain-like organization of these properties emerges in ANNs that meta-learn layer-wise plasticity and sparsity. bit.ly/4kB1yg5

A gradient of complementary learning systems emerges through meta-learning

Long-term learning and memory in the primate brain rely on a series of hierarchically organized subsystems extending from early sensory neocortical areas to the hippocampus. The components differ in t...

bit.ly

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Reposted

Marcelo Mattar @marcelomattar.bsky.social · Jul 2

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...

Discovering cognitive strategies with tiny recurrent neural networks - Nature

Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...

doi.org

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Reposted

Marta Silva @martamasilva.bsky.social · Jul 1

🧠 Paper out!

We investigated how hippocampal and cortical ripples support memory during movie watching. We found that:

🎬 Hippocampal ripples mark event boundaries
🧩 Cortical ripples predict later recall

Ripples may help transform real-life experiences into lasting memories!

rdcu.be/eui9l

Movie-watching evokes ripple-like activity within events and at event boundaries

Nature Communications - The neural processes involved in memory formation for realistic experiences remain poorly understood. Here, the authors found that ripple-like activity in the human...

rdcu.be

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Reposted

Marit Petzka @maritpetzka.bsky.social · Jun 27

Interested in whether sleep and (a)periodic EEG activity increase the probability to have an insight? ⬇️⬇️⬇️ Thanks to @anikaloewe.bsky.social, @nicoschuck.bsky.social & Maria Tzegka for a great teamwork. I really enjoyed it!

Nico Schuck @nicoschuck.bsky.social · Jun 26

Excited to share our latest work spearheaded by @anikaloewe.bsky.social & @maritpetzka.bsky.social. 20 min naps increased the chance to solve an insight task if sleep reached N2 stage; but the EEG spectral slope was the best predictor of insight dx.plos.org/10.1371/jour...
#compneuro #psychscisky

N2 sleep promotes the occurrence of ‘aha’ moments in a perceptual insight task

Sleep supports memory consolidation, but can it also facilitate memory reorganization? This study reveals that N2 sleep, but not N1 sleep during a nap, increases the likelihood of having an 'aha' mome...

dx.plos.org

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Reposted

Christopher Langdon @cmlangdon.bsky.social · Feb 12

(1/5) Excited to share my work with @engeltatiana.bsky.social , out now in Nat Neuro! We show that RNNs use low-d latent circuit mechanisms for cognitive tasks. We find that context-dependent decisions in both RNNs and PFC arise from latent inhibitory mechanisms. www.nature.com/articles/s41...

Latent circuit inference from heterogeneous neural responses during cognitive tasks - Nature Neuroscience

The latent circuit model identifies low-dimensional mechanisms of task execution from heterogenous neural responses. This approach reveals a latent inhibitory mechanism for context-dependent decisions...

www.nature.com

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Reposted

Janis Keck @keckjanis.bsky.social · Jun 25

Excited to share that our work on the interplay of symmetric learning rules and successor representations (SR) is published in @plos.org (comp.bio)

Work done together with @doellerlab.bsky.social, @caswell.bsky.social and Juergen Jost.

doi.org/10.1371/jour...
#neuroskyence #compneurosky

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Impact of symmetry in local learning rules on predictive neural representations and generalization in spatial navigation

Author summary The hippocampus is a brain region which plays a crucial role in spatial navigation for both animals and humans. Contemporarily, it’s thought to store predictive representations of the e...

doi.org

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Reposted

Ben Hayden @benhayden.bsky.social · Jun 24

New preprint from the team at BCM Neurosurgery, led by superstar neuroscientist / neurosurgeon Vigi Katlowitz! “Attention is all you need (in the brain): semantic contextualization in human hippocampus” 🧵

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

www.biorxiv.org

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Reposted

Shrey Dixit @shreydixit.bsky.social · Jun 25

🚨Preprint Alert: Who Does What in Deep Learning? Multidimensional Contribution of Neural Units using Game Theory: arxiv.org/abs/2506.19732
The result of my MSc thesis is out with @kayson.bsky.social @fatemehhadaeghi.bsky.social @patrickmineault.bsky.social @kordinglab.bsky.social, Claus C. Hilgetag

Who Does What in Deep Learning? Multidimensional Game-Theoretic Attribution of Function of Neural Units

Neural networks now generate text, images, and speech with billions of parameters, producing a need to know how each neural unit contributes to these high-dimensional outputs. Existing explainable-AI ...

arxiv.org

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Reposted

Martin Hebart @martinhebart.bsky.social · Jun 23

What makes humans similar or different to AI? In a paper out in @natmachintell.nature.com led by @florianmahner.bsky.social & @lukasmut.bsky.social, w/ Umut Güclü, we took a deep look at the factors underlying their representational alignment, with surprising results.

www.nature.com/articles/s42...

Dimensions underlying the representational alignment of deep neural networks with humans - Nature Machine Intelligence

An interpretability framework that compares how humans and deep neural networks process images has been presented. Their findings reveal that, unlike humans, deep neural networks focus more on visual ...

www.nature.com

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