🧠 Want to understand how different higher-order methods compare in brain connectivity analysis?
Check out our new preprint — a fantastic collab with past & present @NPLab_ members:
🔗 https://t.co/T9GGlVPpn1
"Topological Signal Processing: An Application-Oriented Tutorial" (by Flavia Petruso, Maria Giulia Preti, Dimitri Van De Ville): https://t.co/lZrpHsTD1P
1/ New preprint!
When you coarse-grain a network, does the dynamics survive?
We prove exactly which coarse-grainings preserve random-walk dynamics across scales — and use it to compare renormalization methods.
w/ Francesco Guadagnuolo, @MarcoNurisso , Federica Galluzzi, @all_are
We develop a new TMS targeting algorithm and test it in an open label trial in a treatment-resistant depression population with high comorbidities. Preprints by @rubykong92@Torphernchern
1. https://t.co/BEQF3DHyz1
2. https://t.co/JIZVzOoZcm
Our new approach ...
A paper in Scientific Reports presents detailed observations of a wild sperm whale birth off the coast of Dominica in July 2023. The findings represent the most in-depth published observations of a wild cetacean birth to date, according to the authors. https://t.co/8UZa6b20QX
🧠 Renormalization in the brain?
With @andreasantor0@richlyn_jesseba, we're organizing a full-day workshop at @CosyneMeeting (Lisbon, March 16) on how coarse-graining principles from physics can explain neural computation across scales.
Link here: https://t.co/kGrlqIwTM8
Ten years (!) after submitting the grant, NextBrain is published in @Nature . NextBrain is a brain atlas built from 3D histology that enables segmentation of 3D brain scans (MRI, Hip-CT, even photos!) into hundreds of regions.
Article, data, code, videos, & more in this 🧵 (1/3)
Excited to share that our paper is out in PLOS Computational Biology! 🚀
🔗 https://t.co/DlEI4RnTXr
Joining forces between two fantastic laboratories @NPLab_@ConnectomeLab 🔥
New paper now out in Physics Report:
If you're interested in information theory, complex systems, and emergent properties, this is the paper for you: a comprehensive review paper designed to bring anyone up to speed on information theory for complex systems scientists.
Latest work at #EUSIPCO25!🚀
We bring Topological Signal Processing to the brain 🧠 — showing that edge-based approaches outperform classical GSP in task decoding.
Great collab with @MarcoNurisso & @lordgrilo
Paper👉 https://t.co/EQlp5JknnP
#Neuroimaging#SignalProcessing#TSP
🚨 Two new papers from us @NPLab_ offer a deep dive into the topological and higher-order structure of brain function. Together, they chart a unified view of how the brain encodes identity and computation beyond pairwise interactions.
🧠 Want to understand how different higher-order methods compare in brain connectivity analysis?
Check out our new preprint — a fantastic collab with past & present @NPLab_ members:
🔗 https://t.co/T9GGlVPpn1