A generative model of function growth explains hidden self-similarities across biological and social systems arxiv.org/abs/2509.14468

Luiz Pessoa Luiz Pessoa talks to Kevin Mitchell, Aliya Rumana and Peter Ulric Tse about the need for neuroscience’s traditional mechanistic framework to give way to a richer understanding of how brains generate behavior. thetransmitter.org/the-big-pictur…

Does the brain’s state before stimulation shape its response? 🧠⚡ Check out our latest preprint 👇 biorxiv.org/content/10.110… w/ Giovanni Rabuffo Marianna Angiolelli Tomoki Fukai GUSTAVO DECO Pierpaolo Sorrentino

Appl. Math. Comput.: Optimal information spreading strategy for containing epidemic spreading on higher-order multiplex networks sciencedirect.com/science/articl…

New paper! Toward a unified taxonomy of information dynamics via Integrated Information Decomposition, out now in pnas - led by Fernando Rosas,Pedro Mediano , & Adam Barrett, w/ Andrea Luppi, Robin Carhart-Harris, me, & Dan Bor. pnas.org/doi/epdf/10.10…

Evolvable Graph Diffusion Optimal Transport with Pattern-Specific Alignment for Brain Connectome Modeling. arxiv.org/abs/2509.16238

Rethinking Personality: What if the Big Five isn't the full story? Our latest research using Topological Graph Analysis (TGA) has uncovered something remarkable, entirely new personality dimensions that challenge how we understand human traits. While traditional models give us

Now it's the MRC Cognition and Brain Sciences Unit's Duncan Astle's turn to excite our #COGNESTIC audience. No problem when you are "Building networks to understand neurodevelopment".

Emergent topology of optimal networks for synchrony. arxiv.org/abs/2509.18279

Cortical microstructure correlates with macroscale sensory-fugal and sensorimotor-association axes. nature.com/articles/s4200…

Amazing paper. All the good stuff: brain dynamics, state trajectories, embedding, links to arousal, tracking full dynamic state with a single measurement. nature.com/articles/s4158…

By using information-theoretic quantities as cost functions, this study solves nonlinear stochastic control problems efficiently, enabling optimal strategies across a range of biological problems. Read the paper: go.aps.org/483HosO

I am excited to share my research is now published! 📚 Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants nature.com/articles/s4155… @SN and #SNAuthor.

Color generator tool. ✨💙 You'll love it → randoma11y.com

Using contrastive learning on noisy trajectories, this method builds coordinate-invariant maps that reveal dynamical regimes, pinpoint bifurcations, and reconstruct phase diagrams, no equations required. #MachineLearning #DynamicalSystems 🔗 go.aps.org/48d21CG

Preprint alert 🚨 Extending our previous work on parametric modulation of reciprocity, here we show how they impact performance, but more importantly, why they do: “A Computational Perspective on the No-Strong-Loops Principle in Brain Networks” biorxiv.org/content/10.110…

Welcome to the Satellite Workshops! #BernsteinConference

Our reactions, thoughts, memories and consciousness, all stem from the brain’s mixture of inhibitory and excitatory neurons conversing in different ways. What happens when they are thrown off balance? Yasemin Saplakoglu reports: quantamagazine.org/how-the-brain-…

So excited to see this published after 6 years as preprint! Synergy and redundancy in brains and beyond, wonderful work at the core of my current research, courtesy of the incredible team Pedro Mediano and Fernando Rosas! pnas.org/doi/10.1073/pn…

Message for participants of the #SNUFA spiking neural network workshop. We got ~60 awesome abstract submissions, and we'd now like your help to select which ones should be offered talks. To take part, follow the "abstract voting" link at: snufa.net/2025/ Thanks! ❤️