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Reposted by Karolis Degutis

Rosanne Rademaker @rademaker.bsky.social · 9d

We’re looking for a postdoc to join our Max Planck group in Germany some time in 2026. If you have computational and/or neuroimaging expertise, and are interested in questions intersecting perception and cognition, please reach out! I’ll also be happy to chat at the #Bernsteinconference this week.

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Reposted by Karolis Degutis

Matthias Nau @matthiasnau.bsky.social · 13d

Incredible study by Raut et al.: by tracking a single measure (pupil size), you can model slow, large-scale dynamics in neuronal calcium, metabolism, and brain blood oxygen through a shared latent space! www.nature.com/articles/s41...

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Reposted by Karolis Degutis

Romy Lorenz @romy-lorenz.bsky.social · Aug 30

What started as a journal club on layer decoding turned into a project thanks to @karolisdegutis.bsky.social. Our preprint challenges a widespread assumption in the field: MVPA is not immune to vascular confounds in laminar GE-BOLD decoding, as shown using a mechanistic laminar response model.

Karolis Degutis @karolisdegutis.bsky.social · Aug 30

Happy to see this out: our new preprint shows that laminar GE-BOLD fMRI decoding isn’t immune to vascular draining biases. Simulations reveal false positives due to multivariate signal spread across layers, but oversampling + deconvolution can (sometimes) improve specificity.

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · Aug 30

Vascular draining confounds laminar decoding in fMRI https://www.biorxiv.org/content/10.1101/2025.08.26.672278v1

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Reposted by Karolis Degutis

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · Aug 30

Vascular draining confounds laminar decoding in fMRI https://www.biorxiv.org/content/10.1101/2025.08.26.672278v1

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Karolis Degutis @karolisdegutis.bsky.social · Aug 30

Huge thanks to my co-authors @romy-lorenz.bsky.social @denischaimow.bsky.social

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Karolis Degutis @karolisdegutis.bsky.social · Aug 30

Happy to see this out: our new preprint shows that laminar GE-BOLD fMRI decoding isn’t immune to vascular draining biases. Simulations reveal false positives due to multivariate signal spread across layers, but oversampling + deconvolution can (sometimes) improve specificity.

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · Aug 30

Vascular draining confounds laminar decoding in fMRI https://www.biorxiv.org/content/10.1101/2025.08.26.672278v1

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Karolis Degutis @karolisdegutis.bsky.social · Aug 30

Thanks for sharing!

Reposted by Karolis Degutis

Ravi Menon, Ph.D. @northernthrux.bsky.social · Aug 30

For the laminauts. @layerfmri.bsky.social

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · Aug 30

Vascular draining confounds laminar decoding in fMRI https://www.biorxiv.org/content/10.1101/2025.08.26.672278v1

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Reposted by Karolis Degutis

Rosanne Rademaker @rademaker.bsky.social · Jul 1

Curious about the visual human brain, a vibrant and collaborative lab, and pursuing a PhD in the heart of Europe? My lab is recruiting for a 3-year PhD position. More details: www.rademakerlab.com/job-add

PhD position — Rademaker lab

www.rademakerlab.com

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Karolis Degutis @karolisdegutis.bsky.social · Jun 24

Thanks to all the coauthors: Simon Weber, Joram Soch, John-Dylan Haynes.

Karolis Degutis @karolisdegutis.bsky.social · Jun 24

We find that dynamic shifts in neural coding combined with stable population subspaces enable visual areas to concurrently represent sensory inputs and working memory without mutual interference.

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Karolis Degutis @karolisdegutis.bsky.social · Jun 24

Very happy to share our work on the neural dynamics of visual working memory maintenance during sensory distraction; now out as a VOR on eLIife: elifesciences.org/articles/99290

Neural dynamics of visual working memory representation during sensory distraction

Dynamic shifts in neural coding combined with stable population subspaces enable visual areas to concurrently represent sensory inputs and working memory without mutual interference.

elifesciences.org

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Reposted by Karolis Degutis

Denis Chaimow @denischaimow.bsky.social · Feb 20

Excited to share our latest preprint: "Challenges in replicating layer-specificity of working memory processes in the human prefrontal cortex.”, where we attempted to replicate layer-specific fMRI findings in the human dlPFC during a working memory task.
www.biorxiv.org/content/10.1...

Challenges in replicating layer-specificity of working memory processes in human dlPFC

Although working memory reliably activates the dorsolateral prefrontal cortex (dlPFC), the functional significance of its distinct cytoarchitectonic layers is not well understood in humans. A recent f...

www.biorxiv.org

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Reposted by Karolis Degutis

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · Feb 4

Challenges in replicating layer-specificity of working memory processes in human dlPFC https://www.biorxiv.org/content/10.1101/2025.01.31.635930v1

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Reposted by Karolis Degutis

Jaan Aru @jaanaru.bsky.social · Jan 13

I have a post-doc position to study the effect of AI on education.

How can we ensure that AI tools enhance natural intelligence?

The position is a part of the Estonian Centre of Excellence in Artificial Intelligence.

Please repost - not easy to get people to work in Estonia 🥶

#edusky #neuroAI

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Reposted by Karolis Degutis

Earl K. Miller @earlkmiller.bsky.social · Sep 27

Dynamic layer-specific processing in the prefrontal cortex during working memory
www.nature.com/articles/s42...
#Neuroscience

Dynamic layer-specific processing in the prefrontal cortex during working memory - Communications Biology

Layer-specific imaging of the human dorsolateral prefrontal cortex reveals distinct laminar responses to working memory load and dynamic coding of working memory trial phases.

www.nature.com

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Reposted by Karolis Degutis

Earl K. Miller @earlkmiller.bsky.social · Apr 18

Working memory is not steady state persistent activity, as once thought. Instead, it is dynamic with brief bouts of activity.
Neural dynamics of visual working memory representation during sensory distraction
www.biorxiv.org/content/10.1...
#neuroscience

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Reposted by Karolis Degutis

Timothy Brady @timbrady.bsky.social · Dec 2

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

Probabilistic and rich individual working memories revealed by a betting game - Scientific Reports

Scientific Reports - Probabilistic and rich individual working memories revealed by a betting game

www.nature.com

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Reposted by Karolis Degutis

Earl K. Miller @earlkmiller.bsky.social · Nov 2

Dynamic layer-specific processing in the prefrontal cortex during working memory
www.biorxiv.org/content/10.1...
#neuroscience

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Reposted by Karolis Degutis

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · Oct 27

Dynamic layer-specific processing in the prefrontal cortex during working memory https://www.biorxiv.org/content/10.1101/2023.10.27.564330v1

The dorsolateral prefrontal cortex (dlPFC) is reliably engaged in working memory (WM). Evidence from

www.biorxiv.org

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Karolis Degutis @karolisdegutis.bsky.social · Oct 30

I'd like to thank everyone involved in the project! Romy Lorenz, Denis Chaimow, John-Dylan Haynes, Daniel Haenelt, Moataz Assem, Nik Weiskopf, and John Duncan.
#neuroskyence

Karolis Degutis @karolisdegutis.bsky.social · Oct 30

Taken together, we provide new insights into the functional laminar circuitry of the dlPFC and provide further support for a dynamic account of dlPFC coding.

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Karolis Degutis @karolisdegutis.bsky.social · Oct 30

We found three dynamic subclusters corresponding to each phase of the trial in the superficial layer, which might indicate separate WM control processes that occur on maintain WM content.

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Karolis Degutis @karolisdegutis.bsky.social · Oct 30

Finally, since the PFC is known for its dynamic coding, we wanted to see whether these dynamics are also present in a layer-specific manner when decoding WM load.

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Karolis Degutis @karolisdegutis.bsky.social · Oct 30

We additionally examined whether there are multivariate layer-specific differences across other phases of the working memory trial: e.g. encoding and retrieval. We saw that superficial layers had preferential decoding (of high vs. low WM load trials) during the retrieval phase.

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