Daniele Marinazzo
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danielemarinazzo.bsky.social
Daniele Marinazzo
@danielemarinazzo.bsky.social
1.8K followers 2.2K following 230 posts
Computational neuroscientist and complexity scientist. Professor at Ghent University.
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Reposted by Daniele Marinazzo
gangchen6.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
November 18, 2025 at 10:13 PM
danielemarinazzo.bsky.social
Combo of two papers on partial information rate decomposition now out!

journals.aps.org/prl/abstract...

journals.aps.org/pre/abstract...

Mini thread below 👇
Partial Information Rate Decomposition
Partial information decomposition (PID) is a principled and flexible method to unveil complex high-order interactions in multiunit network systems. Though being defined exclusively for random variable...
journals.aps.org
October 30, 2025 at 10:12 AM
Reposted by Daniele Marinazzo
nschawor.bsky.social
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).
October 16, 2025 at 1:58 PM
danielemarinazzo.bsky.social
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-neursci.bsky.social bioRxiv Neuroscience @biorxiv-neursci.bsky.social · Oct 17
Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain https://www.biorxiv.org/content/10.1101/2025.10.16.682957v1
October 17, 2025 at 7:39 AM
Reposted by Daniele Marinazzo
cyrilrpernet.bsky.social
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
September 22, 2025 at 7:13 AM
Reposted by Daniele Marinazzo
corticalpete.bsky.social
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
September 16, 2025 at 8:16 AM
Reposted by Daniele Marinazzo
beyondtheedge.network
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...
BeyondTheEdge goes to Sicily
BeyondTheEdge researchers participated in the School of Complexity on
www.beyondtheedge.network
September 8, 2025 at 7:08 AM
Reposted by Daniele Marinazzo
grimalkina.bsky.social
I'm specifically sharing this paper because I saw a post recently that said people who think about methodology are "attacking authors"
September 1, 2025 at 3:59 PM
danielemarinazzo.bsky.social
"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...
PubPeer - Brief segments of neurophysiological activity enable individ...
There are comments on PubPeer for publication: Brief segments of neurophysiological activity enable individual differentiation (2021)
pubpeer.com
August 27, 2025 at 10:58 AM
Reposted by Daniele Marinazzo
lauradugue.bsky.social
🚨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...
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 ...
www.biorxiv.org
August 17, 2025 at 8:59 AM
Reposted by Daniele Marinazzo
brovelli.bsky.social
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.
https://www.nature.com/articles/s41467-025-62507-1
t.co
August 10, 2025 at 10:39 AM
danielemarinazzo.bsky.social
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...
August 1, 2025 at 4:18 PM
Reposted by Daniele Marinazzo
neuromechanist.bsky.social
🧠 𝗦𝘁𝗼𝗽 𝘂𝘀𝗶𝗻𝗴 𝗿𝗮𝘄 𝗘𝗘𝗚 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 - 𝗵𝗲𝗿𝗲'𝘀 𝘄𝗵𝘆⁣
⁣
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
⁣
#Neuroscience #EEG #BrainResearch
July 15, 2025 at 3:54 PM
Reposted by Daniele Marinazzo
pascualmarqui.bsky.social
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
July 15, 2025 at 5:18 AM
Reposted by Daniele Marinazzo
tiago.skewed.de
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
July 11, 2025 at 5:49 AM
danielemarinazzo.bsky.social
But are they behaviors?
physics.aps.org/articles/v18...
July 8, 2025 at 6:10 PM
Reposted by Daniele Marinazzo
grimalkina.bsky.social
"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...
A.I. Is Homogenizing Our Thoughts
Recent studies suggest that tools such as ChatGPT make our brains less active and our writing less original.
www.newyorker.com
June 28, 2025 at 7:02 PM
Reposted by Daniele Marinazzo
gin-bianconi.bsky.social
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
June 24, 2025 at 6:50 PM
Reposted by Daniele Marinazzo
nschawor.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.
June 23, 2025 at 3:36 PM
Reposted by Daniele Marinazzo
corticalpete.bsky.social
The beta release of SPM-Python is out now! Amazing work by Johan Medrano @johmedr.bsky.social , Yael Balbastre, Yulia Bezsudnova @ybezs.bsky.social and other members of their team. A new era for SPM! #OHBM2025
imagingneuroucl.bsky.social Department of Imaging Neuroscience @imagingneuroucl.bsky.social · Jun 23
Drumroll... The SPM team will announce that SPM is now fully accessible from Python! 🐍 Learn more about SPM-Python at the SPM roundtable event (Friday, 1pm) and poster number 1841 at #OHBM2025. Try the beta for yourself at github.com/spm/spm-python [2/7]
GitHub - spm/spm-python: The Python interface to SPM
The Python interface to SPM. Contribute to spm/spm-python development by creating an account on GitHub.
github.com
June 23, 2025 at 8:22 AM
danielemarinazzo.bsky.social
Sorry this is inaccurate, this is a collider, thus a synergistic case
Venn diagram of synergistic and redundant information according to partial information decomposition
June 21, 2025 at 5:43 PM
Reposted by Daniele Marinazzo
gauteeinevoll.bsky.social
Episode #29 in #TheoreticalNeurosciencePodcast: On the philosophy of simplification in computational neuroscience - with Mazviita Chirimuuta and Terrence Sejnowski

theoreticalneuroscience.no/thn29

What are the pitfalls when simplifying? Panel debate at FENS meeting in Oslo. @fens.org
June 21, 2025 at 7:10 AM
Reposted by Daniele Marinazzo
grimalkina.bsky.social
the level of misinformation sparked because of this bananas EEG preprint is just really tragic.

By the way if you think that a researcher caused cognitive decline to happen to participants in a study you should probably be freaked out by that
adamtots.bsky.social Adam Ellis @adamtots.bsky.social · Jun 20
If you use chatgpt you're stupid. It's confirmed
June 20, 2025 at 8:33 PM
danielemarinazzo.bsky.social
Localizing synergies of hidden factors across complex systems: resting brain networks and HeLa gene expression profile as case studies

arxiv.org/abs/2506.09053
Localizing synergies of hidden factors across complex systems: resting brain networks and HeLa gene expression profile as case studies Marlis Ontivero-Ortega, Gorana Mijatovic, Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia Factor analysis is a well-known statistical method to describe the variability of observed variables in terms of a smaller number of unobserved latent variables called factors. Even though latent factors are conceptually independent of each other, their influence on the observed variables is often joint and synergistic. We propose to quantify the synergy of the joint influence of factors on the observed variables using the O-information, a recently introduced metrics to assess high order dependencies in complex systems, in a new framework where latent factors and observed variables are jointly analyzed in terms of their joint informational character. Two case studies are reported: analyzing resting fMRI data, we find that DMN and FP networks show the highest synergy, consistently with their crucial role in higher cognitive functions; concerning HeLa cells, we find that the most synergistic gene is STK-12 (AURKB), suggesting that this gene is involved in controlling the HeLa cell cycle. We believe that this approach, representing a bridge between factor analysis and the field of high-order interactions, will find wide application across several domains.
June 12, 2025 at 8:40 AM
Reposted by Daniele Marinazzo
neural-reckoning.org
Fusing multisensory signals across channels and time.

Now published at PLOS Comp Biol! 🎉 With @swathianil.bsky.social and @marcusghosh.bsky.social.

journals.plos.org/ploscompbiol...

TLDR, when multisensory signals vary over time, neural architecture becomes important. Biggest not always best.
June 10, 2025 at 3:21 PM