Enrico Caprioglio

PhD student at Uni of Sussex, trying to control metastability, whatever that means.
#ComplexSystems #Neuroscience #julialang #Emergence @[email protected]

[Enrico Caprioglio @Enri_Capri]

How do collective behaviours (high-order interdependencies) emerge?

Can systems with exclusively low-order interactions do it?

In https://t.co/3Ju9QY7FF2 we show precisely when and how these synergies emerge in minimal systems with low-order interactions

A 🧵1/N

[Michele Starnini @m_starnini]

Opinion dynamics: Statistical physics and beyond
accepted by Reviews of Modern Physics!

Great, interdisciplinary collaboration:
Fabian Baumann
Tobias Galla
David Garcia
Gerardo Iñiguez
Márton Karsai
Jan Lorenz
Katarzyna Sznajd-Weron

New (shorter) version https://t.co/DZO0A7TVFh

[Enrico Caprioglio @Enri_Capri]

@A_Rapis Just seen this tweet, thank you very much! I really appreciate it

[Enrico Caprioglio @Enri_Capri]

To conclude, massive thanks to my supervisor Luc @lucberthouze for (list is too long for the character limit), and Pedro Mediano for pushing me to test these intuitions on more complex systems!

[Enrico Caprioglio @Enri_Capri]

How do collective behaviours (high-order interdependencies) emerge?

Can systems with exclusively low-order interactions do it?

In https://t.co/3Ju9QY7FF2 we show precisely when and how these synergies emerge in minimal systems with low-order interactions

A 🧵1/N

[Enrico Caprioglio @Enri_Capri]

If these questions sound interesting to you, do contact me!

I will post a longer blog-like thread later here and on my website, I really want to share some graph-theory tricks that I think are very useful to study multivariate IT quantities.

For now: https://t.co/gFGrS0Immc

[Obsidian @obsdmd]

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[Jessica Flack @C4COMPUTATION]

The implications of Shannon's work do indeed continue to reverberate but it is somewhat misleading to ascribe the implications for basic science + our daily lives to his genius alone. Rather the implications are due to delicate synergies.

It is Shannon's work in synergistic combination with Turing's, von Neumann's, Jaynes', Hofstader's, Gell-Mann's, Hopfield's, Hartle's, Wheeler's and many others that provides the foundations for the science of information, computation and emergence that is just beginning to flourish.

And it is places like Bell Labs + (traditionally) The Santa Institute that in providing a "common now"—to channel Jim—facilitate the collision of minds and ideas that allow this instrumental synergy to grow.

The concepts of synergy + higher order interactions—and our ability to formalize them—is itself an outcome of these collisions.

What is the character of institutions, of policies, of our collaborations that allows synergies to flourish? What is the nature of environments that crush synergies? The key to enriching the present + future lies in no small part on this understanding + what we *choose* do with it.

[Murray Shanahan @mpshanahan]

Next instalment in my campaign of shameless self-promotion. I previously added an overview of my work on philosophy and consciousness to my homepage. Now I've added an overview of my (related) work on brain dynamics and connectivity: https://t.co/4Mc4tsCcEf

[Enrico Caprioglio @Enri_Capri]

@wmarsburg Grazie! ❤️

[Enrico Caprioglio @Enri_Capri]

First PhD paper has been submitted and it’s now up on the Arxiv!
"Emergence of metastability in frustrated oscillatory networks: the key role of hierarchical modularity"
https://t.co/6DMo2aygYY

[Enrico Caprioglio @Enri_Capri]

@mpshanahan Thank you very much! I’m happy you enjoyed it, your work inspired many of the ideas I’m exploring

[Enrico Caprioglio @Enri_Capri]

In particular, the symmetry-breaking parameter is encoded in the whole-system structure, it is not just a parameter in the equations of motion. Super happy to hear if anyone has any thoughts on this and to collaborate on similar ideas!

[Enrico Caprioglio @Enri_Capri]

Finally, I am pretty sure it is possible to tackle all this analytically. The Ott-Antonsen reduction approach doesn't seem to work easily here, due to the nested nature of the order parameters.