Prof. @UniPadova, Galileo's University | Lab: @comunelab.bsky.social | Web: https://linktr.ee/manlius
Thoughts at manlius.substack.com
#ComplexSystems are ubiquitous!🧬🦠🧫🔬🐠🦜🧠🌪️🧪
And provide an analytical framework to study the behavior of phys, bio, eco, human & artificial systems #AcademicSky
Curious? I write about them 👉 #ComplexityThoughts: manlius.substack.com
www.youtube.com/watch?v=G8Sv...
www.pnas.org/doi/10.1073/...
www.pnas.org/doi/10.1073/...
A lot of this work was inspired by your decades-long work and our amazing informal discussions.
Thank you 🙏
A lot of this work was inspired by your decades-long work and our amazing informal discussions.
Thank you 🙏
thebulletin.org/doomsday-clo...
2/2
thebulletin.org/doomsday-clo...
2/2
thebulletin.org/doomsday-clo...
2/2
thebulletin.org/doomsday-clo...
2/2
One week ago, because of the worldwide spread nonsense, it reached 85s, the closest ever.
1/2
One week ago, because of the worldwide spread nonsense, it reached 85s, the closest ever.
1/2
I think that we need more interdisciplinary discussions, w/ the same positive and open mind I have seen in the last 2h.
#ComplexSystems
I think that we need more interdisciplinary discussions, w/ the same positive and open mind I have seen in the last 2h.
#ComplexSystems
It can't be played in the physical world, but computers can make it possible.
youtu.be/PNyrnKIywZg?...
It can't be played in the physical world, but computers can make it possible.
youtu.be/PNyrnKIywZg?...
Want the next one? Subscribe: open.substack.com/pub/manlius/...
#ComplexSystems 🧪🧬🦠🌐
As usual, also on:
🎧 Spotify: creators.spotify.com/pod/show/com...
🎧 Apple: podcasts.apple.com/us/podcast/c...
Want the next one? Subscribe: open.substack.com/pub/manlius/...
#ComplexSystems 🧪🧬🦠🌐
As usual, also on:
🎧 Spotify: creators.spotify.com/pod/show/com...
🎧 Apple: podcasts.apple.com/us/podcast/c...
Well, if we spend X to fund a project and (as "the scientific ecosystem") we spend Y>X to assign it, then we are losing at least an amount X of money that could fund more/other projects.
This is inefficiency at its best and as scientist we should not tolerate it.
Well, if we spend X to fund a project and (as "the scientific ecosystem") we spend Y>X to assign it, then we are losing at least an amount X of money that could fund more/other projects.
This is inefficiency at its best and as scientist we should not tolerate it.
The situation is rapidly becoming unsustainable: the current research funding scheme does not work.
www.nature.com/articles/d41...
The situation is rapidly becoming unsustainable: the current research funding scheme does not work.
www.nature.com/articles/d41...
Orange circles are detected “stars” (broadly speaking) @siril.org
Orange circles are detected “stars” (broadly speaking) @siril.org
I could not 📷 that much: pointed my Nikon D750 + 300mm lens to the Markarian's chain anyway. And got dozens of galaxies 50M lights years far away & a black hole 😜!
@siril.org #Astrophotography
I could not 📷 that much: pointed my Nikon D750 + 300mm lens to the Markarian's chain anyway. And got dozens of galaxies 50M lights years far away & a black hole 😜!
@siril.org #Astrophotography
⬇️
If you do connectome analysis from correlations, you’re probably averaging at some point (and you probably don't give it much thought).
But when is it OK?
👉 www.nature.com/articles/s42...
🧵 1/
If you do connectome analysis from correlations, you’re probably averaging at some point (and you probably don't give it much thought).
But when is it OK?
👉 www.nature.com/articles/s42...
🧵 1/
#ComplexSystems #HumanBrain #NetworkScience #CoMuNeLab
/fin
#ComplexSystems #HumanBrain #NetworkScience #CoMuNeLab
/fin
4/
4/
We propose a practical way to monitor and control for this bias.
3/
We propose a practical way to monitor and control for this bias.
3/
- Average first: average correlation matrices across subjects → threshold/binarize → compute modularity/clustering/etc.
- Average last: compute the metric on each subject's network → then average the metric.
2/
- Average first: average correlation matrices across subjects → threshold/binarize → compute modularity/clustering/etc.
- Average last: compute the metric on each subject's network → then average the metric.
2/