Excited to share that our #Dendritic ANN study (www.nature.com/articles/s41...) led by @spiroschav.bsky.social is featured in Nature Comms Editors’ Highlights!
1. AI and machine learning
www.nature.com/collections/...
2. Applied physics and Mathematics
www.nature.com/collections/...
@nature.com
www.nature.com
A periscope into the broad-ranging applications of machine learning and how it is enabling new research and tools, reducing inequality and increasing quality ...
If you want to build #SNNs with #dendrites this is what you need. Check it out!
Dear #Dendrites afficionados, due to popular demand we have extended the deadline for abstract submission by a few more days. Don’t miss the opportunity to join us for another amazing meeting on Dendrites in the beautiful Greek island of Crete!
Apply here: meetings.embo.org/event/26-den...
The clock is ticking... 👀⏰
Planning to join the #BrainConference in Crete? Register by 18 July! 🚀
👉 loom.ly/ei_yabg
Check out the video below ⬇️ to hear from #FENS Secretary-General @yiotapoirazi.bsky.social about all the October 2025 Brain Conference has to offer. 🧠
Send us nominations for the FKNE Mentoring Prize 2026!The award will be presented at FENS Forum 2026 in Barcelona to a scientist who has demontrated leadership in fostering the careers of neuroscientists. Deadline: 15 February 2026 2cm.es/1gh-m
Spiros Chavlis and I are very excited to share our latest #dendritic ANN research published in Nature Comms. @natureportfolio.bsky.social. We show that adopting the structure and sparse sampling features of biological #dendrites makes ANNs accurate, highly efficient and robust to overfitting.
Video
And here is link to the paper rdcu.be/d7zTK Feedback is very welcome!
Early registration is OPEN for the next #BrainConference! 🧠
🇬🇷 For the first time ever, the Brain Conference is heading to Fodele Beach in Crete, Greece, and you’re invited! 🌟
Register by 10 July 2025 👉 https://loom.ly/ei_yabg
@lundbeckfonden.bsky.social @brainprize.org
Yiota Poirazi
Yiota Poirazi
Yiota Poirazi
Yiota Poirazi
Yiota Poirazi
rdcu.be
Nature Communications - Artificial neural networks, central to deep learning, are powerful but energy-consuming and prone to overfitting. The authors propose a network design inspired by biological...
Federation of European Neuroscience Societies - FENS
Spiros Chavlis and I are very excited to share our latest #dendritic ANN research published in Nature Comms. @natureportfolio.bsky.social. We show that adopting the structure and sparse sampling features of biological #dendrites makes ANNs accurate, highly efficient and robust to overfitting.
Federation of European Neuroscience Societies - FENS
Yiota Poirazi
🚨BREAKING🚨
Dendrify 2.2 is live and it’s one of our biggest updates yet . This release focuses on user experience and customisability, all built from your feedback! 📝
💡 What’s new?
🔹 dSpike Playground
🔹 Model Customization
🔹 Improved Docs
@yiotapoirazi.bsky.social
See 🧵👇 (1/5)
🔬💻IMBB researchers @dendritesgr.bsky.social lab introduce artificial neural networks with characteristics of biological #dendrites.
▶️https://tinyurl.com/55tyur6m
@forth-ite.bsky.social
@yiotapoirazi.bsky.social
🔬💻IMBB researchers @dendritesgr.bsky.social lab introduce artificial neural networks with characteristics of biological #dendrites.
▶️https://tinyurl.com/55tyur6m
@forth-ite.bsky.social
@yiotapoirazi.bsky.social
