Daniele Marinazzo

With the Em Dash, A.I. Embraces a Fading Tradition

Some see these as hallmark of AI generated text, but apparently is not necessarily the case
www.nytimes.com/2025/09/18/m...

You could have rather put the quotation marks in "arousal", given the last sentence of the paper.
Nice and impressive, but it's basically saying that there is a low-dimensional descriptor. Now, it could have been reversed having latent brain dynamics as a predictor, and pupillometry as the target

There are so many assumptions we make, and so many mechanisms that could originate the same spectral features (both "periodic" and "aperiodic"), that pretending to "separate" them (are they separable?) is super difficult if not ill-posed.

thanks!. I appreciate your effort, and I have been thinking a lot about this "separation" too. But outside the framework of a (biased imo) generative model of "pure oscillations" plus 1/f, how can this be applied to real data?

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

Issues | Cerebral Cortex | Oxford Academic Publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus.

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

a slide mentioning that colliders and confounders (and limits in pairwise and partial correlations) are well known in psychometrics and epidemiology, but much less so in neuro

ha! you wouldn't tell..
I always use this slide

BeyondTheEdge goes to Sicily BeyondTheEdge researchers participated in the School of Complexity on

BeyondTheEdge at the School of Complexity on "Higher-order interactions: mechanisms, behaviors, and networks" by our own @lordgrilo.bsky.social and @gin-bianconi.bsky.social with @aliceschwarze.bsky.social, @danielemarinazzo.bsky.social. Great perspectives! www.beyondtheedge.network/articles/bey...

Congratulations, you'll do great things

It's a self answering question, those are defined by the association, so if they do stuff together, call them the same. Or do as some smart asses who talk about "coactivation"

I'm specifically sharing this paper because I saw a post recently that said people who think about methodology are "attacking authors"

"Brief segments of neurophysiological activity enable individual differentiation", but also when the neurophysiological activity (MEG data) is identical for all the subjects, we have the same differentiation.

Because of the head shape, of course.

pubpeer.com/publications...

Combining Multiple Functional Connectivity Methods to Improve Causal Inferences - PubMed Cognition and behavior emerge from brain network interactions, suggesting that causal interactions should be central to the study of brain function. Yet, approaches that characterize relationships amo...

Exactly! Quite overlooked in neuroimaging, to the point that papers like this one are necessary pubmed.ncbi.nlm.nih.gov/32427070/

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

Theta-rhythmic attentional exploration of space Attention facilitates stimulus processing by selecting specific locations (spatial attention) or features (feature-based attention). It can be sustained on a given location or feature, or re-oriented ...

🚨New preprint from the Dugué Lab!

Happy to share our last work on #attention_rhythms, co-led by @cogsenoussi.bsky.social & former Dugué Lab PhD student @lauriegalas.bsky.social, and in collab with Niko Busch 🎉

@upcite.bsky.social | @erc.europa.eu | #neuroskyence

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

With Behaviors Like These in Complex Systems, Who Needs Mechanisms? A new study of complex systems supports a growing trend that focuses more on analyzing a system’s collective behavior rather than on trying to uncover the underlying interaction mechanisms.

Fun how the thumbnail image leaked from my viewpoint physics.aps.org/articles/v18...

Finally out on Nat Comms 🚀
We show that an intrinsic motivational learning signal (information gain) is encoded through synergistic and higher-order functional brain interactions and is broadcast to prefrontal reward circuits.

Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa Gene Expression Profile as Case Studies

www.mdpi.com/1099-4300/27...

Each CAP has dimensions of vertices × 1 and represents a pattern of activity. To transform activations into their corresponding functional connectivity contribution, we used “edge time series.”

So is the C in CAP useless? Why are they called co-activation, and not just "activity" then?

You mean apart from the cardio and respiratory ones? In the same way that bands are somewhat arbitrary, so is the limit between oscillations and broadband. Also, any oscillations with varying amplitude results in 1/f

Link please!

🧠 𝗦𝘁𝗼𝗽 𝘂𝘀𝗶𝗻𝗴 𝗿𝗮𝘄 𝗘𝗘𝗚 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 - 𝗵𝗲𝗿𝗲'𝘀 𝘄𝗵𝘆⁣
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New research with 1,024 brain electrodes proves EEG channels DON'T reflect local brain activity underneath the electrode.⁣

paper: ⁣https://www.biorxiv.org/content/10.1101/2025.06.24.660870v1
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#Neuroscience #EEG #BrainResearch

Preprint: Equations/generalizations for TC, DTC, RSI, O-information, and TSE-complexity for multivar real/cmplx data. How “connections” contribute to system inf measures.
Helpful comments and reports on errors are appreciated.
arXiv: 2025-07-11
doi.org/10.48550/arXiv.2507.08773

It also looks like the Belousov–Zhabotinsky soup en.wikipedia.org/wiki/Belouso..., studied with the Winfree model, pubs.acs.org/doi/10.1021/..., of which the Kuramoto model is a sort of simplified version. @stevenstrogatz.com

There are some corners of the network science literature which adamantly claim that connected components *must* belong to different communities. Yet, ER networks can easily be disconnected, and the same is true for individual groups in SBM networks. There, splitting the components overfits. 1/4

But are they behaviors?
physics.aps.org/articles/v18...

There is, ironically, spread. Spread of neural activity, plus a bunch of other non neuronal stuff on the scalp. And it's on the scalp that they compute their connectivity measure. But they say it's brain surface.

A.I. Is Homogenizing Our Thoughts Recent studies suggest that tools such as ChatGPT make our brains less active and our writing less original.

"The analysis of the L.L.M. users showed fewer widespread connections between different parts of their brains"

This is goddamn embarrassing, man. Instructive for understanding just how bad media is on this. Like there are anatomical changes being measured.

www.newyorker.com/culture/infi...

Fantastic collaboration with @teo121270.bsky.social L.Giambagli R.Muolo "Global Topological Dirac Synchronization": Unveiling new dynamical states of higher-order networks with the Topological Dirac operator.
iopscience.iop.org/article/10.1... @ioppublishing.bsky.social

happy that our article about mu & alpha rhythm waveform shape in development is now finally out in the open: doi.org/10.1162/jocn...

oscillation frequency changes across development (one of the most robust findings in the oscillation world). in this work, we also look at waveform shape changes.