Rodrigo Cofre

@rcofre.bsky.social

INRIA at Université Côte d’Azur, CRONOS TEAM. Scientist broadly interested in consciousness, general anesthesia, sleep, disorders of consciousness, psychedelics, physics, mathematics, computer science, philosophy, aesthetics and arts

📄Very happy to share our new pre-print!! 🧠 We introduce a homeostatic inhibitory plasticity rule into the Dynamic Mean Field (DMF) model which stabilizes firing rates and expands the model’s dynamical repertoire—for example, enabling slow-wave activity. www.biorxiv.org/content/10.6... ⬇️⬇️⬇️ 1/5

The impact of homeostatic inhibitory plasticity in a generative biophysical model

A main characteristic of biological systems is their capacity to dynamically adapt to environmental changes. In the brain, synaptic plasticity enables the strengthening or weakening of connections bet...

biorxiv.org

Another year, another edition!💥 Join #TopoNets25 at @netsciconf.bsky.social in Maastricht and send us your work on higher-order networks: structure, dynamics, methods, inference, software, topology, #TDA, etc. 📅 Submit by Feb 7th to give a contributed talk: sites.google.com/view/toponet...

TopoNets 2025

The complexity of many biological, social and technological systems stems from the richness of the interactions among their units. Over the past two decades, a great variety of complex systems has bee...

sites.google.com

🚀 Introducing FastDMF: A groundbreaking tool for whole-brain modeling! 🧠 🔍 Efficient, accessible implementation of the Dynamic Mean Field (DMF) model. ⚡Scaling up to 1,000 brain regions. Unlocks biophysically grounded insights into brain dynamics. Fit FC and FCD ! direct.mit.edu/netn/article...

Neural mass modeling for the masses: Democratizing access to whole-brain biophysical modeling with FastDMF

Abstract. Different whole-brain computational models have been recently developed to investigate hypotheses related to brain mechanisms. Among these, the Dynamic Mean Field (DMF) model is particularly...

direct.mit.edu