We've arrived in San Diego for #SfN25! 🌴🧠 @maxeggl.bsky.social Proudly representing @desantislab.bsky.social 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 @tatjanat.bsky.social 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)!

Huge thanks to: 🔹 David Moratal - @upv.es 🔹 @plopezlarrubia.bsky.social - @iibm-csic-uam.bsky.social 🔹 Mohamed Selim - @uniofnottingham.bsky.social 🔹 From @neuroalc.bsky.social: Santiago Canals @canalslab.bsky.social, Silvia De Santis @desantislab.bsky.social & @maxeggl.bsky.social 🙌

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)!

🧵1/Just published: SpyDen, developed with @tatjanat.bsky.social @surbhitwagle.bsky.social, 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: 👇

Our article "Menos tiempo, mejor diagnóstico: cuando la IA alivia las listas de espera en resonancia magnética" was published @es.theconversation.com! It deals with the problem of making MRIs 10x faster without losing accuracy? Let’s dive in! @desantislab.bsky.social @silviadesantis.bsky.social

Just wrapped up the 3rd Bio-inspired Deep Learning Workshop, led by Angus Chadwick (@edinburgh-uni.bsky.social ), with co-organizers Laura Bernaez timon and Janko Petkovic, plus fantastic support from @isabelmaria-c.bsky.social and Arthur Pellegrino. Funded by @jherzstiftung.bsky.social. #NeuroAI 🧵

Exciting news! We got funding to organize "Bio-inspired Deep Learning" workshop near Mainz. This time on the topic of dimensionality reduction techniques and led by Angus Chadwick. Applications are now open for participants from both experimental/ computational backgrounds.

Second highlight of the lab: our first work combining the magic of AI with the power of dw-MRI. Full thread below and on @maxeggl.bsky.social page! 🤖🧲🧠

Also - because we are really proud of this preprint with @desantislab.bsky.social! We applied simulation-based inference to diffusion-weighted MRI (dw-MRI) achieving up to 90% reduction in acquisition time while maintaining high accuracy and robustness. (1/n)

Hello Bluesky! I start off on this platform with a new paper announcement: Two of my papers were recently published: ems.press/journals/rmi... and ems.press/journals/rmi..., they explore approaches to control systems with unknown dynamics. 🧵