8/10 The contrast reappeared independently: Azorean echograms linked tactics to prey depth, while 2024 Project CETI tags in Dominica recovered the core kinematics. The validation samples are modest, but the convergence is encouraging.

6/10 The contrast was substantial. Our energy model estimated that Type B attempts required ~7× more energy than Type A. This is a comparative model estimate—not a direct metabolic measurement—but the ranking held in every whale.

5/10 Zoom in on 3,686 capture attempts and two recurrent tactics emerge: A: slower, more oscillatory, with short acoustic ramp-ups. B: faster, more vertically persistent, with greater roll and longer ramp-ups. Every sampled whale used both.

3/10 At the broad scale, the whales did not simply wander. Across 209 foraging dives, their paths showed heavy-tailed step lengths and strongly superdiffusive movement: persistent search, with many short displacements and rarer long ones.

2/10 We combined 268 hours of sensor data from 34 tag deployments on 20 whales off Dominica. This let us reconstruct 3D paths and match movement to echolocation “buzzes”—the acoustic signatures of individual prey-capture attempts.

1/10 How does a sperm whale hunt in darkness, hundreds of metres beneath the surface? Our new preprint reveals a two-level strategy: persistent search across whole dives, paired with rapid switching between distinct prey-capture tactics. Link in🧵

Later today (3.45pm) I’ll be talking at the NSIA (network-science-ai.github.io/schedule.html) workshop of @netsciconf.bsky.social about (exciting!) work on the interplay between generalization and working memory limits. Come through!

Renormalization in the brain? With @andreasantoro.bsky.social and @jesseba.bsky.social we're organizing a workshop at @cosynemeeting.bsky.social (Lisbon, March 16) on how coarse-graining principles from physics can explain neural computation across scales. nplresearch.github.io/neurorenorm2...

Federico Turkheimer introducing the King’s institute for Human and Synthetic minds and opening the workshop

Matteo Neri addressing one of the differences/links /implications between higher order effects and non gaussianity.

And lorenzo Zaffina showing that high temporal resolution scaffolds do distinguish between emotional profiles evoked by movies better than lower-order and other hoi signatures.

@martasolves.bsky.social discussing differences in global integration patterns in under different brain similarity measures 🧠

And here we go.

Rosemary Braun introducing organization in time of complex systems, with a really good slide. Love it.

And off she goes

So it begins. Late and with screen problems but it does 🤓🤓 😂😂#cns2025

Linda Douw opening with strong lines: “when I met network theory, I was completely hooked. I thought, this is the way”. Oh yes, fellow Mandalore, this is the way.

@maximelca.bsky.social dropping the hard questions 😂😂 @netsciconf.bsky.social

Summing up the results with a poem! Awesome touch!

Soon-to-be- @nunetsi.bsky.social @h-merritt.bsky.social discussing recent results on the effects on brain networks of different social environment during development @netsciconf.bsky.social

@tiago.skewed.de preaching the Bayesian reconstruction creed on the big stage at @netsciconf.bsky.social

After the last session, we wrap up Toponets with a little social hour at Stadsbrouwerij Maastricht! Join us there around 5.30(ish)! @netsciconf.bsky.social

Maria Pope starting off the afternoon at toponets @netsciconf.bsky.social talking about redundancy-synergy tradeoffs in network neuroscience

Cosimo Agostinelli from @beyondtheedge.network (and former @nplab.bsky.social ;)) early on at toponets @netsciconf.bsky.social talking about how to compare hyper graphs.

Learning from @maximelca.bsky.social how to be nice to people in science 🤣🤣 @netplace.bsky.social @netsciconf.bsky.social

@jesseba.bsky.social from @nunetsi.bsky.social discussing joint work with @scarpino.bsky.social on network reps in a learn-relearning in mice vs artificial neural networks (while herself surviving music interference of a nearby Indian wedding :)). Literally context adaption live #netsci2025x

Narayan Sabhahit from @nunetsi.bsky.social introduces a formal definition of network typicality by derandomisation (work with Krioukov lab and @scarpino.bsky.social) #netscix2025

It begins.