Andrea Brovelli
@brovelli.bsky.social
Neuroscientist, systems science for neuroscience, neural interactions, human learning
https://brovelli.github.io/
https://www.youtube.com/@brovelli
https://brovelli.github.io/
https://www.youtube.com/@brovelli
Reposted by Andrea Brovelli
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
Prediction and Causality of functional #MRI and synthetic signal using a Zero-Shot #TimeSeries Foundation Model
arxiv.org/abs/2509.12497
#LLM
September 17, 2025 at 10:20 AM
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
Prediction and Causality of functional #MRI and synthetic signal using a Zero-Shot #TimeSeries Foundation Model
arxiv.org/abs/2509.12497
#LLM
⚠️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-...
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
September 5, 2025 at 9:53 AM
⚠️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-...
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-...
Reposted by Andrea Brovelli
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
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
August 18, 2025 at 11:18 AM
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
To read the full story, check out the preprint 👇
arxiv.org/abs/2508.07115
Reposted by Andrea Brovelli
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
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
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
Helpful comments and reports on errors are appreciated.
arXiv: 2025-07-11
doi.org/10.48550/arXiv.2507.08773
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.
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
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.
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.
Reposted by Andrea Brovelli
When your statistical model "fits the data well" ...
May 9, 2025 at 6:25 AM
When your statistical model "fits the data well" ...
Reposted by Andrea Brovelli
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
May 2, 2025 at 12:03 PM
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...
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
May 1, 2025 at 7:05 PM
Congratulations to the whole team. Impressive work! www.nature.com/articles/s41...
New Call for International Researchers interested in working in France. From postdoc to senior PIs.
carrieres.cnrs.fr/actualites/i...
carrieres.cnrs.fr/actualites/i...
April 25, 2025 at 6:11 AM
New Call for International Researchers interested in working in France. From postdoc to senior PIs.
carrieres.cnrs.fr/actualites/i...
carrieres.cnrs.fr/actualites/i...
Reposted by Andrea Brovelli
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”
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
April 23, 2025 at 11:22 AM
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”
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!
Reposted by Andrea Brovelli
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/...
#Neuroscience 🧪🧠
www.pnas.org/doi/10.1073/...
April 10, 2025 at 8:12 AM
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/...
#Neuroscience 🧪🧠
www.pnas.org/doi/10.1073/...
Reposted by Andrea Brovelli
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...
arxiv.org/abs/2504.01990
Foundation Models на новом уровне
github.com/FoundationAg...
April 5, 2025 at 3:09 PM
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...
arxiv.org/abs/2504.01990
Foundation Models на новом уровне
github.com/FoundationAg...
Reposted by Andrea Brovelli
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
This survey provides a comprehensive overview, framing intelligent agents within a modular, brain-inspired architecture
April 6, 2025 at 6:28 AM
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
This survey provides a comprehensive overview, framing intelligent agents within a modular, brain-inspired architecture
Reposted by Andrea Brovelli
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/...
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
April 3, 2025 at 5:07 PM
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/...
Were they hallucinated? Nope!
(h/t @dompreston.com)
www.theverge.com/news/642620/...
Reposted by Andrea Brovelli
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
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
March 12, 2025 at 1:27 PM
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
www.mcb.harvard.edu/department/n... @naoshigeuchida.bsky.social @saramatias.bsky.social @neurovenki.bsky.social @btolooshams.bsky.social @kempnerinstitute.bsky.social @harvardbrainsci.bsky.social
Reposted by Andrea Brovelli
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...
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
March 11, 2025 at 8:39 PM
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...
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...
Reposted by Andrea Brovelli
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...
Great new work lead by James Pang,
@alexfornito.bsky.social & star collaborators!
www.biorxiv.org/content/10.1...
February 2, 2025 at 7:27 AM
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...
Great new work lead by James Pang,
@alexfornito.bsky.social & star collaborators!
www.biorxiv.org/content/10.1...
Reposted by Andrea Brovelli
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...
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
January 16, 2025 at 2:44 AM
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...
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...
Reposted by Andrea Brovelli
🚨 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
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
January 11, 2025 at 10:07 AM
🚨 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
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
Reposted by Andrea Brovelli
I see the talks from Montreal AI and Neuroscience (MAIN) 2024 are now online:
www.youtube.com/@MAINConfere...
#neuroai #neuroskyence
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
January 6, 2025 at 2:07 PM
I see the talks from Montreal AI and Neuroscience (MAIN) 2024 are now online:
www.youtube.com/@MAINConfere...
#neuroai #neuroskyence
www.youtube.com/@MAINConfere...
#neuroai #neuroskyence
Reposted by Andrea Brovelli
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
👇
www.sciencedirect.com/science/arti...
By @rdgao.bsky.social and stellar co-authors
January 5, 2025 at 2:34 PM
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
👇
www.sciencedirect.com/science/arti...
By @rdgao.bsky.social and stellar co-authors
Reposted by Andrea Brovelli
🔵 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
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
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...
nature.com
November 8, 2024 at 3:15 PM
🔵 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
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
Reposted by Andrea Brovelli
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
theoreticalneuroscience.no/thn23
The guest builds personalized whole-brain network models, partially to aid clinicians in treating brain ailments. @ebrains.bsky.social
January 4, 2025 at 7:52 AM
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
theoreticalneuroscience.no/thn23
The guest builds personalized whole-brain network models, partially to aid clinicians in treating brain ailments. @ebrains.bsky.social
Reposted by Andrea Brovelli
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/...
Some new results to inform this debate.
www.pnas.org/doi/10.1073/...
January 4, 2025 at 5:21 PM
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/...
Some new results to inform this debate.
www.pnas.org/doi/10.1073/...