Simone Poetto

Simone Poetto

@poetz.bsky.social

Physicist of complex systems 🧠Brain 🍩Topology 🐳Animal Communication| PhD student @UMK_Torun @nplab.bsky.social‬ @CentaiInstitute ‪‪@projectceti.bsky.social‬

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Simone Poetto reposted

@poetz.bsky.social just gave us an incredible talk on whale communication. He has developed a network analysis approach to study and characterize experimental data on whale birth behavior, a fundamental stepping stone for the survival of the species.🐳 #CRAB #CCS2025

Simone Poetto reposted

Simone Poetto reposted

The #CRAB2025 🦀 programme is out! Join us in Siena on Sept 3 at #CCS25 for the 2nd edition of the Complexity Research in Animal Behaviour satellite 🐜🐦🦋🐳🐙🐝 🧑‍🏫 Invited talks by S. Melillo & P. Bartashevich Full programme: sites.google.com/view/crab202... @jbbrask.bsky.social @saraneven.bsky.social

sites.google.comCRAB2025Complexity Research in Animal Behaviour Satellite @ CCS 2025 - Siena, 3 September 2025 Animal groups can be considered as complex systems of interacting entities (the individuals). The collective beha...

Simone Poetto reposted

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Third: most intriguingly, we found that the scaffold's structure dictates its information flow. The borders of loops handle redundant information, while the connections spanning these loops exhibit high synergy. It's a beautiful metaphor: integration happens within the voids. 8/n

This balance between redundancy and synergy, woven into each person’s unique topological scaffold, may offer a new lens on individual variability, and a powerful pathway for identifying cognitive or clinical biomarkers. 9/n

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First, scaffold-based fingerprints achieved near-perfect identification accuracy (~100%), outperforming FC-based methods (~90%). Even more 🤯, they remained robust across different preprocessing strategies, brain atlases, and dramatically shortened scan times. 6/n

Second, while FC fingerprints often draw from features confined to particular brain networks, scaffolds gain their power from inter-network connections. In other words, identity seems to live in how different large-scale brain systems interact 7/n

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To better capture this richer structure, we use homological scaffolds. Picture incrementally building a brain network by adding connections in order of strength. As we do this, loops begin to form. The scaffold is made of all edges that participate in these mesoscale loops 4/n

We show that the topological structure of brain connectivity—, homological scaffolds—offers a powerful and highly robust way to identify individuals based on their functional brain organization. 2/n

Traditional approaches to brain fingerprinting typically rely on Functional Connectivity (FC), which measures pairwise correlations between brain regions. But brains don’t just operate in pairs—networks of regions interact in complex, higher-order ways that FC often misses. 3/n

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