nichome.bsky.social
Nicholas Menghi
@nichome.bsky.social
250 followers 490 following 13 posts
Postdoc @mpicbs.bsky.social, interested in Generalization, Transfer Learning, Cats and Pirates
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nichome.bsky.social
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 by Nicholas Menghi
andrejbicanski.bsky.social
Andrej Bicanski @andrejbicanski.bsky.social · 6d
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 by Nicholas Menghi
martinasaltafossi.bsky.social
Martina Saltafossi @martinasaltafossi.bsky.social · 13d
I'm thrilled to share that our new paper is now published in Psychophysiology (Open Access):
onlinelibrary.wiley.com/doi/10.1111/...

@zacndr.bsky.social @teamlabuda.bsky.social @fraferri.bsky.social @danlikesbrains.bsky.social
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nichome.bsky.social
Nicholas Menghi @nichome.bsky.social · 15d
Work collaboration with @doellerlab.bsky.social @stefanofusi.bsky.social @vigano.bsky.social @wjj.bsky.social and @salmaelnagar.bsky.social
nichome.bsky.social
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
1 7 16
Reposted by Nicholas Menghi
andrejbicanski.bsky.social
Andrej Bicanski @andrejbicanski.bsky.social · 29d
A while in the making, here's a short paper on how one might get from spatial to episodic memory with temporal indexing, sequence generation via grid cell analogs, + a bit of perspective/review on time, wider HPC function ...

psycnet.apa.org/fulltext/202...
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Reposted by Nicholas Menghi
qiaoli-huang.bsky.social
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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Reposted by Nicholas Menghi
nicoschuck.bsky.social
Nico Schuck @nicoschuck.bsky.social · Aug 22
Delighted to share our work on replay and successor representations! We find replay during very short task pauses in human visual cortex that is linked to learning SRs & happens when learning is implicit. Study led by @lnnrtwttkhn.bsky.social

#compneuro #neuroskyence

www.pnas.org/doi/10.1073/...
Replay in the human visual cortex during brief task pauses is linked to implicit learning of successor representations | PNAS
Humans can implicitly learn about multistep sequential relationships between events in the environment from their statistical co-occurrence. Theore...
www.pnas.org
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nichome.bsky.social
Nicholas Menghi @nichome.bsky.social · Aug 11
Link to behavioral study: link.springer.com/article/10.3...

Link to behavioral/EEG preprint: www.biorxiv.org/content/10.1...
nichome.bsky.social
Nicholas Menghi @nichome.bsky.social · Aug 11
These two projects have been brewing for a long time, and we’re thrilled to finally share them.
Huge thanks to collaborators/friends for their work and patience: Clayton Hickey, Giorgio Coricelli, @eliobalestrieri.bsky.social and Damiano Grignolio.
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nichome.bsky.social
Nicholas Menghi @nichome.bsky.social · Aug 11
But how do we keep force stable when feedback is available?
In our EEG study, behavioral performance oscillated at ~6 Hz.
This rhythm was mirrored in the brain, forming a temporal cascade involving Theta, Alpha and Beta frequency bands.
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nichome.bsky.social
Nicholas Menghi @nichome.bsky.social · Aug 11
In our behavioral study, participants maintained a steady grip force with or without continuous visual feedback, and with varying incentives.
Without feedback, performance drifted over time.
With feedback, incentives amplified corrections, helping people stay on target.
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nichome.bsky.social
Nicholas Menghi @nichome.bsky.social · Aug 11
Paper AND preprint day.
If you’re interested in motor control, incentives, and brain oscillations, we have new results to share.
Together, they reveal how feedback and motivation shape behavior, and how brain rhythms help keep our force stable.
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Reposted by Nicholas Menghi
shreydixit.bsky.social
Shrey Dixit @shreydixit.bsky.social · Jul 31
We did it! 🏆 We won Phase 1 and placed 2nd overall in the Algonauts 2025 Challenge. So proud of the crew
@keckjanis.bsky.social,Viktor Studenyak,Daniel Schad,Aleksandr Shpilevoi. Huge thanks to @andrejbicanski.bsky.social and @doellerlab.bsky.social for support. Report: arxiv.org/abs/2507.17958
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Reposted by Nicholas Menghi
hritz.bsky.social
Harrison Ritz @hritz.bsky.social · Jul 27
We put out this preprint a couple months ago, but I really wanted to replicate our findings before we went to publication.

At first, what we found was very confusing!

But when we dug in, it revealed a fascinating neural strategy for how we switch between tasks

doi.org/10.1101/2024.09.29.615736

🧵
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Reposted by Nicholas Menghi
scone-neuro.bsky.social
SCONe - Scottish-EU Critical Oscillations Network @scone-neuro.bsky.social · Jul 22
/1 We took our sweet time (~3yrs) to put this into its final shape - but happy to say that the pre-print of an extensive review of brain rhythms in cognition - from a cognruro perspective - is now available. Please let us know what you think. #neuroskyence doi.org/10.48550/arX...
Brain rhythms in cognition -- controversies and future directions
Brain rhythms seem central to understanding the neurophysiological basis of human cognition. Yet, despite significant advances, key questions remain unresolved. In this comprehensive position paper, w...
doi.org
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Reposted by Nicholas Menghi
danlikesbrains.bsky.social
Daniel Kluger @danlikesbrains.bsky.social · Jun 30
New preprint with amazing work from @nchalas.bsky.social:

How does respiration influence (un-)predictable near-threshold perception? MEG, arousal modulation, excitability states, respiration phase-resolved connectivity changes - it's all there :)

#neuroskyence

www.biorxiv.org/content/10.1...
Respiration as a dynamic modulator of sensory sampling
Respiration dynamically modulates sensory perception by orchestrating transient states of the brain and the body. Using simultaneous recordings of high-density magneto-encephalography (MEG), respirati...
www.biorxiv.org
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Reposted by Nicholas Menghi
jaquent.bsky.social
Jörn Alexander Quent @jaquent.bsky.social · Jul 1
Amazing #RegisteredReport led by Sumaiyah Raza from @mrccbu.bsky.social.

We (again) found evidence against a memory benefit of spatial novelty. However, this time we did find a retroactive benefit of rest, which highlights that more work is needed here.

journals.sagepub.com/doi/full/10....
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Reposted by Nicholas Menghi
nicoschuck.bsky.social
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 by Nicholas Menghi
shreydixit.bsky.social
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 by Nicholas Menghi
keckjanis.bsky.social
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

1/n
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 by Nicholas Menghi
salmaelnagar.bsky.social
Salma Elnagar @salmaelnagar.bsky.social · Jun 19
📣 Very excited for our symposium on “Building Knowledge Structures” tomorrow at 16:30 at @pug2025.bsky.social

Together with amazing people:
@barnaveliirina.bsky.social
@lukaskunz.bsky.social @mirkothm.bsky.social
and Andrea Greve
1 7 13
Reposted by Nicholas Menghi
skjerns.de
Simon Kern @skjerns.de · Jun 16
preprint alert 🚨
1/ Can we accurately detect sequential replay in humans using Temporally Delayed Linear Modelling (#TDLM)? In our recent study, we could not find any replay and decided to dig deeper by running a hybrid simulation with surprising results. Link to preprint & details below 👇
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Reposted by Nicholas Menghi
jaquent.bsky.social
Jörn Alexander Quent @jaquent.bsky.social · May 28
Did you ever wanted to see a visualisation how two common brain 🧠 network parcellations (Yeo 7 vs. CAB NP) differ?

Here is a small something I quickly cooked up because I was curious myself.

#neurosky #neuro #brain #brainsky #neuroimaging

Code: github.com/JAQuent/netw...
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Reposted by Nicholas Menghi
reisnerv.bsky.social
Volker Reisner @reisnerv.bsky.social · May 22
New preprint! We explored how learned movement patterns affect our sense of traveled distance and proposed a neurocomputational model that leverages embodied memories to denoise spatial codes.

🔗 www.biorxiv.org/cgi/content/...
Re-enacting steps supports human path integration consistent with motor-corrected grid cell drift
Efficient navigation, especially in the absence of vision, requires path integration - the continuous updating of spatial position from self-motion cues. However, path integration is prone to cumulati...
www.biorxiv.org
3 9 19
Reposted by Nicholas Menghi
mengya-zhang.bsky.social
Mengya Zhang (张梦雅) @mengya-zhang.bsky.social · May 3
🍾🥳 Proud to share our new paper published on eLife 📄: elifesciences.org/articles/100...

Accompanied by an insight piece by @neurojacob.bsky.social 📄: elifesciences.org/articles/106...

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