Max Eggl

🔗 Apply here: tinyurl.com/yeyj9dpu 📄 Flyer: tinyurl.com/y9282tmx 📩 Questions? Contact Max: meggl@umh.es Pietro: verzep@uni-bonn.de Please share within your networks & institutions.

🔁 Discover how these methods enable closed-loop hybrid artificial & biological neural systems. ⏰ Application Deadline: March 2, 12:00 (CET) 🏨 Accommodation, meals & venue covered by the Joachim Herz Foundation.

📢 Workshop Announcement Join our upcoming workshop on Bio-Inspired Deep Learning, led by Prof. Elisa Donati (Uni. Zürich - ETH Zurich). 🗓 Dates: June 9–12, 2026 📍 Location: Near Mainz, Germany Generously supported by the Joachim Herz Stiftung. #NeuroAI #Workshop #BioInspiredAI

We also quantify how costly delayed mitigation can be for severe diseases. Many thanks to Laura for her excellent first-author work, and to @ViolaPriesemann for a wonderful collaboration.

Main results: with constant R₀, the optimal response is binary, either strict mitigation or none at all. With seasonality, mitigation is stricter in winter but infections peak in spring with a delayed wave. Even with vaccination, optimal policies can produce transient waves.

Happy to announce a new preprint with @ViolaPriesemann ! We introduce an optimization framework to balance infection costs against mitigation costs during epidemics and pandemics, deriving optimal mitigation strategies rather than fixing policies ad hoc. arxiv.org/abs/2512.11454

From across the pond, representing @NeuroAlc, @maxeggl is making waves at #SfN25 with his work on spatial coordination of synaptic plasticity, exploring how neurons organize and fine-tune connections to shape learning and memory. So proud of our math superstar!🔬⭐#Neuroscience

This week @maxeggl and @PMartinezTazo are representing us at #SfN25 in San Diego 🧠✨ Seeing our work cross borders and gain visibility is truly energizing. It’s giving us the push to keep exploring, innovating, and uncovering new insights 🔍⚡️ #Neuroscience #NeuroResearch

We've arrived in San Diego for #SfN25! 🌴🧠 Proudly representing @LabMRI and super excited to attend the biggest neuroscience conference. Ready to learn, share, and connect! 🔬✨ #Neuroscience #SfN2025

Excited to be in San Diego to be showing off my work with @TTchumatchenko at #SfN25 #Sfn2025! Come by on Monday and have a look if you are interested in synaptic plasticity and automated analysis of calcium images (PSTR152.15)! @BecarisFLC

Last week at the @ISMRMIberian Chapter, our teammate @maxeggl presented groundbreaking work on using simulation-based inference to speed up diffusion #MRI by 90% without losing accuracy. This means: faster scans, better insights, more patients benefiting ✨

📢 Mark your calendars! On July 4, our very own @eespinos97 takes the stage at the @ISMRMIberian! She’ll dive into how male and female brains age differently — using fMRI & diffusion MRI to track it all in action🧠✨ Don’t miss it! #Neuroimaging #ISMRMIberian

However, this time I finally managed! I would like to thank @si_de_santis @LabMri for the incredible support, which I think was exactly the difference that allowed me to succeed this year. Now on to more science and research at the intersection between neuroscience and ML!

With a bit of delay (it’s taken a while to process), I am happy to announce that I was awarded a #RyC2024 fellowship this year! One of the most prestigious research fellowships in Spain, I have been working towards this goal for a long time (with many rejections along the way)!

9/ 💡 SpyDen bridges the gap between molecular-resolution imaging and user-friendly analysis. If you’re doing fluorescence imaging of neurons—check it out. Reproducible, customizable, and made for the community. #OpenScience #Neuroinformatics #Microscopy

8/ 📦 Get it here: Code: github.com/meggl23/SpyDen Compiled executables: gin.g-node.org/CompNeuroNetwo… Documentation & tutorials included. This is an ongoing project so we’d love feedback from the community!

🧵1/Just published: SpyDen, developed with @TTchumatchenko, @SurbhitWagle, J. Filling, T. Chater & Y. Goda — an open-source Python tool for analyzing 2D microscopy time-series of neurons. GUI-based, robust, and validated by experts. 🔗 shorturl.at/IVmyM Read on for more: 👇