Sign in

Andrea Brovelli

@brovelli.bsky.social
268 followers 617 following 12 posts

Neuroscientist, systems science for neuroscience, neural interactions, human learning brovelli.github.io www.youtube.com/@brovelli

PostsRepliesMedia
Reposted by Andrea Brovelli
Coumarane Tirou @coumt.bsky.social · 19/08/2026
🚨 New paper alert! Happy to share my first paper, "Learning regularities in noise engages both neural predictive activity and representational changes", has been published in Nature Communications. www.nature.com/articles/s41...
161
Reposted by Andrea Brovelli
Manlio De Domenico @manlius.bsky.social · 20/02/2026
I have also written for you a short semi-technical piece on #ComplexityThoughts about this: open.substack.com/pub/manlius/... Enjoy!
open.substack.com
Higher-order links and broken standards
The balance in the Force has been restored
073
Reposted by Andrea Brovelli
Alessandro Crimi @alecrimi.bsky.social · 17/09/2025
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
073
Andrea Brovelli @brovelli.bsky.social · 05/09/2025
⚠️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-...
fens.org
Postdoc in computational cognitive neuroscience - Federation of European Neuroscience Societies
11611
Reposted by Andrea Brovelli
Antonino Greco @agreco.bsky.social · 18/08/2025
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
arxiv.org
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...
242
Reposted by Andrea Brovelli
RD PascualMarqui @pascualmarqui.bsky.social · 15/07/2025
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
142
Andrea Brovelli @brovelli.bsky.social · 10/08/2025
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.
t.co
https://www.nature.com/articles/s41467-025-62507-1
1148
Reposted by Andrea Brovelli
Eiko Fried @eikofried.bsky.social · 09/05/2025
When your statistical model "fits the data well" ...
419733
Reposted by Andrea Brovelli
Laura Dugué @lauradugue.bsky.social · 02/05/2025
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...
listes.services.cnrs.fr
rt_neurocomp - réseau français de neurosciences computationnelles - subscribe
22215
Andrea Brovelli @brovelli.bsky.social · 01/05/2025
Congratulations to the whole team. Impressive work! www.nature.com/articles/s41...
nature.com
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...
010
Andrea Brovelli @brovelli.bsky.social · 25/04/2025
New Call for International Researchers interested in working in France. From postdoc to senior PIs. carrieres.cnrs.fr/actualites/i...
183
Reposted by Andrea Brovelli
Fernando Rosas @frosas.bsky.social · 23/04/2025
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!
arxiv.org
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...
1318
Reposted by Andrea Brovelli
Manlio De Domenico @manlius.bsky.social · 10/04/2025
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/...
079
Reposted by Andrea Brovelli
Anthropogenesis Research Institute @olegchagin.bsky.social · 05/04/2025
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...
001
Reposted by Andrea Brovelli
Sung Kim @sungkim.bsky.social · 06/04/2025
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
1309
Reposted by Andrea Brovelli
Joe Bak-Coleman @jbakcoleman.bsky.social · 03/04/2025
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/...
theverge.com
Trump’s new tariff math looks a lot like ChatGPT’s
ChatGPT may be the White House’s latest economic advisor.
1136
Reposted by Andrea Brovelli
Harvard_MCB @harvardmcb.bsky.social · 12/03/2025
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
mcb.harvard.edu
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 […]
0248
Reposted by Andrea Brovelli
Thomas F. Varley @thosvarley.bsky.social · 11/03/2025
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...
cell.com
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...
183
Reposted by Andrea Brovelli
Alessandro Gozzi @gozziale.bsky.social · 02/02/2025
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...
06125
Reposted by Andrea Brovelli
Cross Labs AI @crosslabsai.bsky.social · 16/01/2025
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.com
YouTube
Share your videos with friends, family, and the world
054
Reposted by Andrea Brovelli
Rodrigo Cofre @rcofre.bsky.social · 11/01/2025
🚨 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
083
Reposted by Andrea Brovelli
Rory Byrne @rory.bio · 06/01/2025
I see the talks from Montreal AI and Neuroscience (MAIN) 2024 are now online: www.youtube.com/@MAINConfere... #neuroai #neuroskyence
youtube.com
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...
0236
Reposted by Andrea Brovelli
Alessandro Gozzi @gozziale.bsky.social · 05/01/2025
Processes and measurements: a framework for understanding neural oscillations in field potentials 👇 www.sciencedirect.com/science/arti... By @rdgao.bsky.social and stellar co-authors
Oscillations-in-measurement and process. Oscillations are characterized by rhythmic temporal structure in any of the entities in our framework, manifesting
variously in both measurements and physical processes. Oscillations-in-measurements are rhythmic fluctuations in the signal of electrophysiology recordings. At the level
of processes, oscillations can instantiate as fluctuations in the electric field, or in other neurobiological events, such the release of neurotransmitters and action potentials
across neuronal masses. At a behavioral level, oscillations can manifest, for example, as a waxing and waning of reaction time, stimulus detection rates, and arousal levels.
Each of these characterizes one type of oscillation.
0278
Reposted by Andrea Brovelli
Antonino Greco @agreco.bsky.social · 08/11/2024
🔵 New Paper 🔵 Happy to announce that our paper linking predictive learning and representational geometry in the human 🧠 is out today in #NatureComms! with @drjuliamoser.bsky.social, Hubert Preissl and Markus Siegel 📜👉 nature.com/articles/s41467-024-54032-4
nature.com
Predictive learning shapes the representational geometry of the human brain - Nature Communications
This study shows that the human brain aligns its neural representations to the statistical structure of sensory inputs, and that the magnitude of this representational shift correlates with the synerg...
13711
Reposted by Andrea Brovelli
Gaute Einevoll @gauteeinevoll.bsky.social · 04/01/2025
Episode #23 in #TheoreticalNeurosciencePodcast: On human whole-brain models - with Viktor Jirsa theoreticalneuroscience.no/thn23 The guest builds personalized whole-brain network models, partially to aid clinicians in treating brain ailments. @ebrains.bsky.social
0142
Reposted by Andrea Brovelli
Rick Betzel @richardfbetzel.bsky.social · 04/01/2025
Human brain dynamics are shaped by rare long-range connections over and above cortical geometry. Some new results to inform this debate. www.pnas.org/doi/10.1073/...
2348
Andrea Brovelli @brovelli.bsky.social · 04/01/2025
Happy new year to all! Here is a great paper to start off our scientific adventures for 2025! arxiv.org/abs/2501.00536
arxiv.org
Phase behavior of Cacio and Pepe sauce
"Pasta alla Cacio e pepe" is a traditional Italian dish made with pasta, pecorino cheese, and pepper. Despite its simple ingredient list, achieving the perfect texture and creaminess of the sauce can ...
020
Reposted by Andrea Brovelli
Rodrigo Cofre @rcofre.bsky.social · 03/01/2025
🚀 Introducing FastDMF: A groundbreaking tool for whole-brain modeling! 🧠 🔍 Efficient, accessible implementation of the Dynamic Mean Field (DMF) model. ⚡Scaling up to 1,000 brain regions. Unlocks biophysically grounded insights into brain dynamics. Fit FC and FCD ! direct.mit.edu/netn/article...
direct.mit.edu
Neural mass modeling for the masses: Democratizing access to whole-brain biophysical modeling with FastDMF
Abstract. Different whole-brain computational models have been recently developed to investigate hypotheses related to brain mechanisms. Among these, the Dynamic Mean Field (DMF) model is particularly...
0144
Reposted by Andrea Brovelli
Jakob Runge @jakobrunge.bsky.social · 27/06/2023
1/3 Just published @NatRevEarthEnv tinyurl.com/3zb8cu7s. A guide to #causalinference for time series: Phrase your problem as a causal Question, transparently state Assumptions, and apply the right method on your Data with the QAD-template based on @yudapearl's causal hierarchy
152
Reposted by Andrea Brovelli
Nature Computational Science @natcomputsci.nature.com · 19/12/2024
📢Jianfeng Feng and colleagues present the Digital Brain, a platform capable of simulating spiking neuronal networks with up to 86 billion neurons and 47.8 trillion synapses. www.nature.com/articles/s43... #neuroskyence #compneuro 🔓https://rdcu.be/d4byX
nature.com
Simulation and assimilation of the digital human brain - Nature Computational Science
The Digital Brain platform is capable of simulating spiking neuronal networks at the neuronal scale of the human brain. The platform is used to reproduce blood-oxygen-level-dependent signals in both t...
13512
Reposted by Andrea Brovelli
Rubén Moreno-Bote @morenobote.bsky.social · 03/12/2024
Joint the Comp Neuro conversation go.bsky.app/K8hiHqe
24258
Andrea Brovelli @brovelli.bsky.social · 25/11/2024
HOI: A Python toolbox for high-performance estimation of Higher-Order Interdependencies from multivariate data 🚀 Here is the link to the paper 🌐 Documentation with theoretical background about the metrics and some useful examples here brainets.github.io/hoi/ Have fun🛝 And give us feedback
brainets.github.io
HOI : High-Performance Estimation of Higher-Order Interactions — HOI 0.0.5 documentation
042