🧠 We're at #cosyne2026! So excited to be here with the computational neuroscience community to discuss about our recent works. Find us at Poster Session 2 — Fri Mar 13, 13:15 & 16:15. Here's what we're presenting! 🧵👇

Excited to announce my first postdoc preprint with @neuroai-uoregon.bsky.social and @roozbehkiani.bsky.social lab! REACH-Ctrl: a data-driven framework learning low-dimensional reachable manifolds from brief stimulation. Tested in awake macaque prefrontal cortex for optimal population state control.

⏳ The registration deadline for #INCTN2025 is fast approaching — 31 Aug!
Don’t miss the chance to join us in Padova 🇮🇹 this September for exciting neuroscience discussions 🧠✨
👉 Register here: registrations.meetandwork.com/Login.asp?ID...
ℹ️ More info: www.incn.it/registration/

Structural Connectome Dimension Shapes Brain Dynamics in Health and Disease www.biorxiv.org/content/10.1101/2025.06....

🚨 New paper from @comunelab.bsky.social !

We review the latent geometry emerging from network-driven processes, with an eye to network functionality and applications from biological systems to infrastructures.

👉 arxiv.org/abs/2506.09616

#ComplexSystems #NetworkScience 🧪🌐

Short 🧵 1/

🧠 Thrilled to announce the 2025 Italian Network of Computational Neuroscience Conference!
📍 Palazzo della Salute, Padova, Italy
📅 September 22–24, 2025

A 3-day deep dive into the brain — from models to data, theory to technology.

Functional organization derived from network-driven processes offers clear advantages wrt traditional methods when studying human brain networks, outperforming SoTA communication models in explaining functional communities from structural data.

#Neuroscience 🧪🧠

www.pnas.org/doi/10.1073/...

Optimal brain processing requires balance between excitatory and inhibitory neurons, study suggests The brain's ability to process information is known to be supported by intricate connections between different neuron populations.

Balanced excitatory and inhibitory neuron activity is crucial for optimal brain information processing, highlighting the importance of neural network stability in encoding external signals effectively. doi.org/g87h5w

Flash post - my first last-author work with @gbarzon.bsky.social and @dmbusiello.bsky.social is out today in @apsphysics.bsky.social Physical Review Letters!

"Excitation-Inhibition Balance Controls Information Encoding in Neural Populations"

More about it soon!

doi.org/10.1103/Phys...