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Reposted by Andrea Brovelli

Alessandro Crimi @alecrimi.bsky.social · 21d

New preprint out, first timid experiments on foundation models for #neuroimaging and Ornstein-Uhlenbeck processes (checking inhibitory/excitatory causality):
Prediction and Causality of functional #MRI and synthetic signal using a Zero-Shot #TimeSeries Foundation Model
arxiv.org/abs/2509.12497
#LLM

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Andrea Brovelli @brovelli.bsky.social · Sep 5

⚠️JOB ANNOUNCEMENT⚠️
Postdoctoral Position in Computational Cognitive Neuroscience (Marseille) in collaboration with @alainbarrat.bsky.social. Join us to study higher-order brain interactions in causal learning using information theory and network science. More info
www.fens.org/careers/job-...

Postdoc in computational cognitive neuroscience - Federation of European Neuroscience Societies

www.fens.org

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Antonino Greco @agreco.bsky.social · Aug 18

Our findings pave the way for biologically-inspired vision architectures that move beyond purely feedforward or locally recurrent designs by incorporating explicit top-down pathways alongside stochastic regularization

To read the full story, check out the preprint 👇
arxiv.org/abs/2508.07115

Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models

Biological systems leverage top-down feedback for visual processing, yet most artificial vision models succeed in image classification using purely feedforward or recurrent architectures, calling into...

arxiv.org

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RD PascualMarqui @pascualmarqui.bsky.social · Jul 15

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

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Andrea Brovelli @brovelli.bsky.social · Aug 10

A big thanks to all collaborators!
@ecombrisson.bsky.social @danielemarinazzo.bsky.social @lordgrilo.bsky.social Ruggero Basanisini, Matteo Neri, Guillaume Auzias and Stefano Panzeri

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Andrea Brovelli @brovelli.bsky.social · Aug 10

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

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Eiko Fried @eikofried.bsky.social · May 9

When your statistical model "fits the data well" ...

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Laura Dugué @lauradugue.bsky.social · May 2

Researchers in France are working on creating a french network of researchers to organize interaction, communication and training in #Computational_Neuroscience. If you are a CompNeuro working in France, consider joining, and registering to our mailing list: listes.services.cnrs.fr/wws/subscrib...

rt_neurocomp - réseau français de neurosciences computationnelles - subscribe

listes.services.cnrs.fr

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Andrea Brovelli @brovelli.bsky.social · May 1

Congratulations to the whole team. Impressive work! www.nature.com/articles/s41...

Adversarial testing of global neuronal workspace and integrated information theories of consciousness - Nature

Multimodal results (iEEG, fMRI and MEG) of predictions from integrated information theory and global neuronal workspace theory align with some predictions of both theories on visual consciou...

www.nature.com

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Andrea Brovelli @brovelli.bsky.social · Apr 25

#ChooseCNRS

Andrea Brovelli @brovelli.bsky.social · Apr 25

New Call for International Researchers interested in working in France. From postdoc to senior PIs.
carrieres.cnrs.fr/actualites/i...

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Andrea Brovelli @brovelli.bsky.social · Apr 23

Great work!

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Fernando Rosas @frosas.bsky.social · Apr 23

Preprint time:
“Shannon invariants: A scalable approach to information decomposition”
arxiv.org/abs/2504.15779

Studying information in complex systems is challenging due to difficulties in defining multivariate metrics and ensuring their scalability. This framework addressed both challenges!

Shannon invariants: A scalable approach to information decomposition

Distributed systems, such as biological and artificial neural networks, process information via complex interactions engaging multiple subsystems, resulting in high-order patterns with distinct proper...

arxiv.org

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Reposted by Andrea Brovelli

Manlio De Domenico @manlius.bsky.social · Apr 10

Functional organization derived from network-driven processes offers clear advantages wrt traditional methods when studying human brain networks, outperforming SoTA communication models in explaining functional communities from structural data.

#Neuroscience 🧪🧠

www.pnas.org/doi/10.1073/...

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Anthropogenesis Research Institute @olegchagin.bsky.social · Apr 5

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
arxiv.org/abs/2504.01990

Foundation Models на новом уровне

github.com/FoundationAg...

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Reposted by Andrea Brovelli

Sung Kim @sungkim.bsky.social · Apr 6

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems (264 pages)

This survey provides a comprehensive overview, framing intelligent agents within a modular, brain-inspired architecture

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Joe Bak-Coleman @jbakcoleman.bsky.social · Apr 3

Reading this hypothesis the trade deficit was figured out by AI made me wonder if it's the same reason why uninhabited islands (Heard and McDonald) wound up in the tariffs?

Were they hallucinated? Nope!

(h/t @dompreston.com)

www.theverge.com/news/642620/...

Trump’s new tariff math looks a lot like ChatGPT’s

ChatGPT may be the White House’s latest economic advisor.

www.theverge.com

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Harvard_MCB @harvardmcb.bsky.social · Mar 12

New Deep Learning Framework Reveals Hidden Structure in Neural Activity 🧠 #neuro #science
www.mcb.harvard.edu/department/n... @naoshigeuchida.bsky.social @saramatias.bsky.social @neurovenki.bsky.social @btolooshams.bsky.social @kempnerinstitute.bsky.social @harvardbrainsci.bsky.social

New Deep Learning Framework Reveals Hidden Structure in Neural Activity - Harvard University - Department of Molecular & Cellular Biology

Understanding how neurons encode information is one of the most pressing challenges in neuroscience. A new study from a multidisciplinary team including MCB researchers and those from the […]

www.mcb.harvard.edu

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Reposted by Andrea Brovelli

Thomas F. Varley @thosvarley.bsky.social · Mar 11

Very cool paper on how interactions of different orders contribute to patterns of brain activity.
I do have some questions about whether losing the distinction between redundancy and synergy might be confounding the results at all though.
www.cell.com/cell-reports...

Non-equilibrium whole-brain dynamics arise from pairwise interactions

The human brain operates far from thermodynamic equilibrium, with complex interactions between its neural elements driving non-equilibrium dynamics. Geli et al. reveal that pairwise interactions betwe...

www.cell.com

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Andrea Brovelli @brovelli.bsky.social · Feb 23

Drop me an email Thomas. My group could be a soft landing. And I could suggest you other labs in France/EU, in case

Reposted by Andrea Brovelli

Alessandro Gozzi @gozziale.bsky.social · Feb 2

Geometric influences on the regional organization of the mammalian brain (!)

Great new work lead by James Pang,
@alexfornito.bsky.social & star collaborators!

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

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Cross Labs AI @crosslabsai.bsky.social · Jan 16

Great news, everyone! Cross Roads is BACK for episode #50! 😱🎉

Join us on Jan 21 @ 2pm JST to hear exciting ideas from Dr. Fernando Rosas about "The Many Faces of Emergence."

We'll see you next week on YouTube Live! www.youtube.com/live/bgB8e3G...

YouTube

Share your videos with friends, family, and the world

www.youtube.com

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Rodrigo Cofre @rcofre.bsky.social · Jan 11

🚨 THOI: Revolutionizing Higher-Order Interaction Analysis 🚨

Complex systems are more than the sum of their parts! Our latest study introduces THOI a groundbreaking Python library designed to unveil emergent collective behaviors.

Discover more: arxiv.org/pdf/2501.03381 github.com/Laouen/THOI

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Rory Byrne @rory.bio · Jan 6

I see the talks from Montreal AI and Neuroscience (MAIN) 2024 are now online:

www.youtube.com/@MAINConfere...

#neuroai #neuroskyence

MAIN Conference

Montreal AI and Neuroscience (MAIN) is an international conference organized by the UNIQUE Centre in collaboration with the Centre de Recherches Mathématiques (CRM) at the University of Montreal since...

www.youtube.com

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