Ditto 😁. Thanks Randy

Randy McIntosh@ar0mcintosh.bsky.social · 2w ago

Nice work from @danielemarinazzo.bsky.social

We are delighted to welcome Ghent University as an associate member at EBRAINS! The university is over 200 years old, offers more than 200 programmes and conducts research in many scientific disciplines. Read more: ebrains.eu/news-and-eve...

EBRAINS welcomes Ghent University as new associate member

EBRAINS is pleased to announce that Ghent University has joined the EBRAINS AISBL as an associate member.

ebrains.eu

Cambridge Networks Network is back! Come have a chat if you're around. If not, you can follow us on Bluesky or even become a member (check the website). Regardless, we're looking for material to add to our resources section. Let me know if you have any.

Complex Networks at Cambridge@camnetsnet.bsky.social · 5mo ago

Join us on March 25th as we officially relaunch the Cambridge Networks Network! It’s an opportunity to meet researchers across disciplines working on complexity and networks at the University of Cambridge. The event is open to all, so register on our website to secure your place. See you there!

Dissecting Spectral Granger Causality through Partial Information Decomposition arxiv.org/abs/2603.07634

the cutoff scores for #MSCA postdoc fellowships are very high this year. has the score distribution shifted compared to previous years? I made a plot with scores from past years. if scores are at ceiling level, the process becomes essentially a lottery, because minor issues can lead to deductions.

Thrilled to announce the Oxford Psychological Networks Summer School (OxPNS)! This is the first-ever psychological network analysis workshop in the UK, to be held in magical Oxford from June 22-26, 2026. To apply and for more information, please visit: oxfordpns.com A brief thread 🧵

Reminder for mentors: Full project descriptions for INCF’s Google Summer of Code 2026 are due 1 February 2026. Submit your neuroscience-focused proposal, especially aligned with INCF standards: docs.google.com/form... #GSoC #OpenSource #Neuroscience #INCF

"ripples" are by definition transient. And what does a transient become in the spectrum? Surprise: 1/f. Poteto potato.

Randolph Helfrich@randolph-helfrich.bsky.social · 7mo ago

Ripple oscillations are central for memory and sleep. But ripple detection in humans remains challenging. Here we introduce a simulation approach in @natcomms.nature.com as common ripple detectors mainly pick up 1/f noise and not genuine oscillations 👇 www.nature.com/articles/s41... #neuroskyence

OHBM asking to review up to 30 more abstracts (I did 42 already) due to lack of reviewers seems like a serious structural problem. An incentive could be a reduction or waiwer of the exorbitant registration fee. Just saying.

"The time for passive consumption has expired. Every scholar should begin contributing their expertise to Wikipedia — not as charity, but as a core duty" www.nature.com/articles/d41...

The academic community failed Wikipedia for 25 years — now it might fail us

Artificial-intelligence systems are feeding on Wikipedia without giving back, and academic indifference is threatening the survival of what is arguably the most widely used reference work on the plane...

nature.com

Great work Max!

Max Van Migem@maxvanmigem.bsky.social · 7mo ago

Ever wonder how spatial attention and prediction interact in the (early) visual cortex? So do we! Read all about in the first paper of my PhD, published in Psychophysiology, with @danielemarinazzo.bsky.social and Gilles Pourtois. onlinelibrary.wiley.com/share/author...

Come and be my PhD colleague: www.ugent.be/en/work/scie...

Doctoral fellow

ugent.be

1/🧵 NEW PREPRINT! Granger Causality Maps for Langevin Systems – new preprint from the incomparable Lionel Barnett, w/ Benjamin Wahl, Nadine Spychala, and me – a Sussex Centre for Consciousness Science production. Link at end of thread.

After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data. If you share a single thing of my lab this year, please make it this competition. eiko-fried.com/warn-d-machi...

WARN-D machine learning competition is live » Eiko Fried

If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...

eiko-fried.com

A hitchhiker’s guide to information theoretical measures in psychology by @nielsvs.bsky.social with me and Yves Rosseel authors.elsevier.com/c/1mOwr53na-... osf.io/preprints/ps...

And like, all these posts about how the “story makes so much sense” and “resonates with what patients say”. I’m an ADHD person who takes stims and a neuroscientist and I find all of this totally incredulous.

"drug for disorder which isn't a disorder doesn't act on a brain network (which isn't a network) called as the thing in the name of said not-disorder, according to increased signal detected by a method in which increased signal possibly doesn't indicate increased activation"

Nico Dosenbach@ndosenbach.bsky.social · 8mo ago

I don't think there's an attention deficit, I don't think hyperactivity is a primary issue ... and I'm not sure it's a disorder. I think it's a relatively lower tolerance for activities with low predicted rewards. which leads to new activity seeking manifesting as movement.

...defining voxels by their response (-ve) implies reduced activity but doesn't prove it, and I'd prefer a principled neuroanatomical basis, or EEG, etc., which leaves me assuming a lot of vascular physio artifacts are going to be interpreted. A case for subject-specific HRF, not canonical, perhaps!

Out now in PLOS CB: a wonderful study by @nishantjoshi.bsky.social, together with Tansu Celikel and Sven van der Burg: journals.plos.org/ploscompbiol... Nishant shows here how classifying neurons based on electrophysiological properties depends critically on the input you give these neurons.

Thank you for the great work @willenjoy.bsky.social ! An important step towards understanding and correcting bias in source localizations and functional connectivity due to source leakage.

Nikolai Kapralov@willenjoy.bsky.social · 8mo ago

Our new preprint on promises and caveats of the extraction of M/EEG activity from ROIs is out (see more details in the reposted thread): www.biorxiv.org/content/10.6... Huge thanks to @studenova.bsky.social, Ruben Eguinoa, Guido Nolte, @sparsity.bsky.social, Arno Villringer, and Vadim Nikulin!

Can we stop our #EEG experiments after 5 trials? Thought provoking paper: www.arxiv.org/abs/2511.23162 tldr: n=5 trials gave better cvR² than n=100% on average Kudos to the authors who went far beyond many other EEG papers in terms of additional tests & baselines (openreview.net/forum?id=c6L...)

I wrote a blog post about the often stated but never explained assumption that communities in graphs should always be connected. This is inconsistent with statistical significance and null models that underlie the most widely employed methods. skewed.de/lab/posts/co...

The perplexing “connected cluster axiom” – Inverse Complexity Lab

Research group on inverse problems in complex systems and network science.

skewed.de

👏

CNRS@cnrs.fr · 8mo ago

From January 1st 2026, the CNRS will cut access to one of the largest commercial bibliometric databases, Clarivate Analytics' Web of Science, along with the Core Collection and Journal Citation Reports.

📢Generative Models in Neuroimaging Survey We’re running a short survey on how neuroimaging (aka #OHBM) community defines, uses & evaluates generative models, from biophysical simulations to ML-based approaches 👉 t.co/lRQj4qmknO @ohbmofficial.bsky.social @ohbmtrainees.bsky.social

And the next step? Full voxel-level modeling. Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are. arxiv.org/abs/2511.12825

SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI Studies

Bayesian spatial modeling provides a flexible framework for whole-brain fMRI analysis by explicitly incorporating spatial dependencies, overcoming the limitations of traditional massive univariate app...

arxiv.org

Combo of two papers on partial information rate decomposition now out! journals.aps.org/prl/abstract... journals.aps.org/pre/abstract... Mini thread below 👇

ok, imagine you have an oscillation that is not symmetric around 0 (small direct current shift) with some amplitude modulation, for instance with 1/f-dynamics. ➡️ then these 1/f-dynamics will show up in low frequency part of spectrum (red); in addition to around oscillation peak (yellow).

I find this paper really confusing. There are several measures (power, coherence, network communication, information based statistical dependencies) which are all measures of the "behavior" of the system, and definitely share similarities. Yet some are considered "mechanisms" underlying the others.

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 10mo ago

Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain https://www.biorxiv.org/content/10.1101/2025.10.16.682957v1

arxiv.org/abs/2509.15278 check that your metadata are 'private' i.e. that they do not leak personal information -- BIDSapp available 😀

Assessing metadata privacy in neuroimaging

The ethical and legal imperative to share research data without causing harm requires careful attention to privacy risks. While mounting evidence demonstrates that data sharing benefits science, legit...

arxiv.org

A birthday is a good time to reflect! To mark SPM @ 30, this month's issue of Cerebral Cortex features deeply insightful commentaries on neuroimaging analysis from Ed Bullmore, Peter Bandettini, Peter Fox, Pedro Valdes-Sosa, Klaas Enno Stephan, Viktor Jirsa, et al [1/2] academic.oup.com/cercor/issue

Issues | Cerebral Cortex | Oxford Academic

Publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus.

academic.oup.com