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Auguste Schulz

@auschulz.bsky.social

CEO of KI macht Schule gGmbH Previously @mackelab.bsky.social - machine learning in (neuro)science.

30 Posts889 Follower355 Folgt
Roxana Zeraati@roxana-zeraati.bsky.social · 4w ago

Our paper "Neural timescales from a computational perspective" is finally out in @natneuro.nature.com: www.nature.com/articles/s41... We discuss how computational models and methods can distill empirical observations on neural timescales into quantitative, testable theories of brain computation.

Neural timescales from a computational perspective - Nature Neuroscience

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

nature.com

Richard Gao@rdgao.bsky.social · 8mo ago

Finally got the job ad—looking for 2 PhD students to start spring next year: www.gao-unit.com/join-us/ If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply! I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮

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Machine Learning in Science@mackelab.bsky.social · 8mo ago

MackeLab has grown! 🎉 Warm welcome to 5(!) brilliant and fun new PhD students / research scientists who joined our lab in the past year — we can’t wait to do great science and already have good times together! 🤖🧠 Meet them in the thread 👇 1/7

Machine Learning in Science@mackelab.bsky.social · last yr.

New preprint: SBI with foundation models! Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️

Pedro J. Goncalves@ppjgoncalves.bsky.social · last yr.

Exciting project in Parkinson's disease! Patrik Verstreken's lab (verstrekenlab.sites.vib.be) and my lab are looking for a postdoc to develop and apply ML methods to the analysis of exciting brain-on-chip data. Please spread the word! More details at: jobs.vib.be/j/110908/pos...

Postdoc position: Computational methods for neurodegeneration research - VIB

About the labs The Verstreken Lab and the Gonçalves Lab are based in Leuven, Belgium and part of the

jobs.vib.be

Auguste Schulz@auschulz.bsky.social · last yr.

Thanks so much for the shout-out, and congrats on your exciting work!! 🎉 🙂 Also, a good reminder to share that our work is now out in Cell Reports 🙏🎊 ⬇️ www.cell.com/cell-reports...

Modeling conditional distributions of neural and behavioral data with masked variational autoencoders

Schulz et al. demonstrate how neural encoding and decoding can be cast as computing conditional distributions and how to modify variational autoencoders (VAEs) to calculate such distributions. The pro...

cell.com

Cole Hurwitz@colehurwitz.bsky.social · last yr.

Current neurofoundation modeling approaches focus on either predicting neuronal responses (Wang et al. 2025) or behavior (POYO, POYO+, NDT2). Inspired by Schulz et al. 2025, we unify these two tasks using a multimodal masked modeling approach we call "Neural Encoding and Decoding at Scale (NEDS)"

Cole Hurwitz@colehurwitz.bsky.social · last yr.

Another step toward a foundation model of the mouse brain: "Neural Encoding and Decoding at Scale (NEDS)" Trained on neural and behavioral data from 70+ mice, NEDS achieves state-of-the-art prediction of behavior (decoding) and neural responses (encoding) on held-out animals. 🐀

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Katrin Franke@katrinfranke.bsky.social · last yr.

I'll be giving a talk at this👇workshop tomorrow #Cosyne2025 @cosynemeeting.bsky.social In response to the @thetransmitter.bsky.social article by @tyrellturing.bsky.social & Eva Dyer (tinyurl.com/veb7p88f) I'll be talking about: How do "foundation"/AI models help us (experimenters) study the brain?

Accepting “bitter lesson” and embracing brain’s complexity

To gain insight into complex neural data, we must move toward a data-driven regime, employing large models trained on vast amounts of data. Experts weigh in.

thetransmitter.org

Avery HW Ryoo@averyryoo.bsky.social · last yr.

How can large-scale models + datasets revolutionize neuroscience 🧠🤖🌐? We are excited to announce our workshop: “Building a foundation model for the brain: datasets, theory, and models” at @cosynemeeting.bsky.social #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 – April 1!

Auguste Schulz@auschulz.bsky.social · last yr.

Looking forward to presenting our work on Latent Diffusion for Neural Spiking data tonight—Poster 1-108 & experience discussions on scaling in neuroscience firsthand at the foundation model workshop, where I'll talk both about our work on masked VAEs & latent diffusion for neural & behavioral data

Machine Learning in Science@mackelab.bsky.social · last yr.

We're also at the workshops! Tuesday at 11:20, @auschulz.bsky.social will give a talk about deep generative models - VAEs and DDPMs - for linking neural activity and behavior, at the workshop on "Building a foundation model for the brain" (Soutana 1).

sbi - Simulation-based inference@sbi-devs.bsky.social · last yr.

sbi 0.24.0 is out! 🎉 This comes with important new features: - 🎯 Score-based i.i.d sampling - 🔀 Simultaneous estimation of multiple discrete and continuous parameters or data. - 📊: mini-sbibm for quick benchmarking. Just in time for our 1-week SBI hackathon starting tomorrow---stay tuned for more!

Adriana Guatame-García@guatamite.bsky.social · last yr.

A friend included this anti-acknowledgement section on her PhD thesis. She also added the proposition: “Systematic bullying and undermining of girls and women in STEM starts early on and is the reason why they do not stay in science and related fields.” Absurd we still need to go through this 🧪👩‍🔬

There have been people less than helpful in my journey here. I wanted to acknowledge those too, bc I know I am not unique in this experience. No thank you to the physics study assoc that made me sing songs about how women couldn't study physics without sleeping with the professor, the day I stepped into university life. No thank you to the 5th year physics student that decided to assign me a stripper name within the first minute of meeting me in the physics coffee corner in my first year. No thank you to the technician that was responsible for onboarding me on the use of the cluster in my third year who raised his eyebrows and asked me if that meant I was some sort of computer girl. No thank you to the senior researcher that sent me utterly inappropriate texts after a conference, then proceeded to apologise months later by telling me they had not been meant for me anyway so no hard feelings remain hopefully And no thank you to him for attending every conference I've been to since. No thank you to the people who told me that it was surprising that I was doing a PhD since I was a girl. No thank you to the man who mistook me for a coffee lady at a conference, and after having to correct him two times that I did not work there, responded with you should consider it. No thank you to the researcher that asked me what I was wearing underneath my outfit during a conference. No thank you to the physicist who declared to a room full of other physicists that biologists don't know how to design an experiment. No thank you to the people who have called me scary instead of strong and intimidating instead of intelligent. And finally, no thank you to the exec board of the TU Delft, whose knee-jerk reaction to being held up a mirror about the social safety at the university, was to sue the party holding up the mirror instead of looking at the problems they highlighted. ... You have made me feel like I do not belong in science & I cannot forgive you for that.
Jan-Matthis Lueckmann@janmatthis.bsky.social · last yr.

⚡️ Excited to introduce ZAPBench, our #ICLR2025 spotlight: The Zebrafish Activity Prediction Benchmark measures progress in predicting neural activity within an entire vertebrate brain (70k+ neurons!) Explore interactive visualizations, datasets, code + paper: google-research.github.io/zapbench 🧠🧪

ZAPBench

ZAPBench evaluates how well different models can predict the activity of over 70,000 neurons in a novel larval zebrafish dataset.

google-research.github.io

Aman Saleem@amansaleem.bsky.social · last yr.

After just sharing the first scientific thread... I'm wondering what it is called here. What is the equivalent of a Tweetprint? I'm a bit late in the game here, anything picking steam? Skeetprint? If there isn't any... I kind of like "science flutter"

ML for Science@ml4science.bsky.social · 2y ago

With “Tübingen Women in Machine Learning”, Claire Vernade and her team have created a local community. Their aim is to empower women and make them more visible. Read more on our blog: www.machinelearningforscience.de/en/a-network... @twiml.bsky.social #TWiML #WiML

A network for women to support each other

There are still far fewer women than men working in the field of machine learning. With "TWiML", Claire Vernade has fostered a community for women in Tübingen.

machinelearningforscience.de

ML for Science@ml4science.bsky.social · 2y ago

Can we build neural networks whose structure and computational abilities match a real brain? We are not quite there yet, but recent work by @lappalainenjk.bsky.social et al. shows a strategy for getting closer to this goal. Read more on our blog: www.machinelearningforscience.de/en/improving...

How a tiny animal helps us improve brain simulations with AI

Can we build neural networks whose structure and computational abilities match a real brain? We are not quite there yet, but our new paper shows a strategy for getting closer to this goal.

machinelearningforscience.de