Philipp Berens

@philipp.hertie.ai

Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.de)

I was flagged as "irresponsible" reviewer at NeurIPS for a paper providing no algorithm, no theory, no data, no analysis... it is simply an opinionated, colloquial review. I said as much. Instead of looking at it, the AC forced me to add to my review, threatening to reject papers of my co-authors.

When I went to the US in 1998 as a high school student, the "land of the free" offered remarkable new perspectives on my home country Germany. As a liberal-left German, the flags, the pledge of allegiance and patriotism were strange, yet also fascinating in a weird way.

We had a paper accepted today! In the first round, Rx provided a long, forceful rant why our paper wasn't a big advance, how the figures are poorly done and so on. We pushed back politely and answered the points we thought were reasonable. Today, Rx: "Sorry for my rant, the paper is good." Cudos!

“And so the Greeks send me this horse, we’re talking about one of the most beautiful horses you’ve ever seen. So big. So strong. Normally they keep this kind of horse for themselves but they were such big fans they said sir, please take our big wonderful horse we’ll even bring it to your house”

🧠🤖 Computational Neuroscience summer school IMBIZO in Cape Town is open for applications again!   💻🧬 3 weeks of intense coursework & projects with support from expert tutors and faculty   📈Apply until July 1st! 🔗https://imbizo.africa/

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📣 Now out in Nature Communications as part of the MICrONS package: Our study on excitatory morphological cell types in mouse visual cortex led by Marissa Weis. We describe a set of principles that capture the morphological diversity excitatory neurons. A thread: (1/12) www.nature.com/articles/s41...

An unsupervised map of excitatory neuron dendritic morphology in the mouse visual cortex - Nature Communications

Excitatory neurons in the neocortex exhibit considerable morphological diversity, yet their organizational principles remain a subject of ongoing research. Here, the authors use unsupervised learning ...

nature.com

Together with @dendritesgr.bsky.social, we’ll be hosting a tutorial on constructing and optimizing biophysical models (via Jaxley & DendroTweaks) 🚀 Join us in Florence if you like dendrites, biophysics, or optimization!

Roman Makarov@roman-makarov.bsky.social · last yr.

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