Great start to #CNS2025Florence 🎆

Thank you to everyone for joining our tutorial on Jaxley and DendroTweaks! It was a great pleasure organizing it toghether with @kyrakadhim.bsky.social, @deismic.bsky.social and @spiroschav.bsky.social

Find all tutorial materials here: github.com/r-makarov/cn...

Want to learn more? Join us for a hands-on tutorial at CNS*2025 📅 July 5 📍Florence, Italy

cns2025florence.sched.com/event/25kVa/...

⚙️ Big under-the-hood improvements too! The source code is now openly available:

- Core library: github.com/Poirazi-Lab/...
- Web app: github.com/Poirazi-Lab/...

🛠️ Enhanced tools:

- Edit morphologies as tree graphs
- Convert NMODL mechanisms to Python
- Simplify models with built-in morphology reduction
- Validate voltage responses through automated analysis
- Generate plain NEURON code to incorporate your cells into networks

🧩 Modular model representation: Easily export and share modified morphologies, channel distributions, and stimulation protocols.

🕹️ Redesigned GUI: More intuitive layout, new widgets, and useful prompts on a status panel.

Try the demo online 👉 dendrotweaks.dendrites.gr

Have you tried building neuronal models with #DendroTweaks? It’s a Python toolbox we made to help you visualize and customize single-neuron models with active dendrites. And it's just got a major update! ✨ Here's what's new: 🧵

It might just be a matter of getting used to it. After all, natural languages are built on similar principles — subject, verb, object (or variations of this order). From my experience, I always need to uncover some kind of structure within plain text to understand it anyway.

Although it's not exactly what you're discussing here, I believe focusing on micro-facts rather than broad ideas helps minimize bias.

I had an idea of a wiki-like platform where different concepts are connected through relations: r-makarov.github.io/dendropedia/.... It adds more structure than Wikipedia or Scholarpedia currently have. Unfortunately, I haven't had much time to work on it, so it remains just at the level of an idea.

We are thrilled to host a tutorial on biophysical modeling with Jaxley & DendroTweaks at #CNS2025! 📍 Florence, July 5 — looking forward to seeing you there! www.cnsorg.org/cns-2025 @cnsorg.bsky.social

🚀 Celebrating Our Soon-to-Graduate PhD Candidates from SmartNets! 🎓🎉 I can’t wait to see where your journeys take you next, and I honestly will miss you!

Towards a More Sustainable Future for AI:
Led by Dr. Chavlis, our research, published in @naturecomms.bsky.social, demonstrates how incorporating dendritic features into Artificial Neural Networks (ANNs) can significantly improve their efficiency and performance.
www.nature.com/articles/s41...