Interested in Network hubs, cortical hierarchies, and gradients? Ever wonder where they come from? Check our latest review, where we cover different approaches to mapping hubs, models for their evolution, and mechanisms for how they develop:

osf.io/preprints/os...

💥 An exceptional opportunity to engage in interdisciplinary research with guidance from leading experts affiliated with prestigious institutions. 🌍

💭 As a participant in this international group, I can confidently say: Interdisciplinary, International, and Inspirational!

#InterdisciplinarySchools

While the world burns, we cook up a new preprint! doi.org/10.1101/2025...

Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N

I would recommend that you insist your PhD students learn how to write a paper and code without help from AI tools.

If they use AI to code or draft a paper, they are robbed of learning two of the most important skills a student needs to learn during their training.

Nothing else to say.

Obtaining genetics insights from deep learning via explainable artificial intelligence (2022) www.nature.com/articles/s41... 🧬🖥️

We are very excited to announce the open release of a new 170 participant dataset: Linked MEG, TMS, multimodal 3T MRI, 7T MRI, Connectom MRI, cognitive /questionnaire data. Immense effort from a fabulous
CUBRIC team. Paper by Carolyn McNabb et al: doi.org/10.1038/s415...

Looking at the night sky, I’m amazed by how the universe, with its galaxies and stars, mirrors the brain’s intricate networks. Whether studying the brain or just marveling at the cosmos, I’m reminded that everything is connected.

Enjoy this live stream :)

www.youtube.com/live/wG4YaEc...