Having fun facilitating this amazing group of young Profs at the #Neuro4Pros workshop with @kordinglab.bsky.social and @meganakpeters.bsky.social, @yaelniv.bsky.social, and Hannah Bayer. Watch out world: this is the next generation of leaders! compneurosci.com/Neuro4Pros/i...

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! ⚡️

25.6., 19 Uhr: #Wissen für alle!? Im #DigitalerSalon diskutieren Sascha Friesike (@weizenbauminstitut.bsky.social‬), @auschulz.bsky.social und Lennart Glaser, wie #Wissenstransfer in einer immer komplexer werdenden Welt gelingen kann. 👉 Live am HIIG & im Stream: www.hiig.de/events/digit...

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...

Crowdsourcing this: what are the best examples of scaling laws in foundation models for neuroscience? My top 3 examples: Ctrl+Labs, Sato et al., Mineault et al. @colehurwitz.bsky.social , @mehdiazabou.bsky.social , @nandahkrishna.bsky.social , @averyryoo.bsky.social, @tyrellturing.bsky.social ?

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...

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. 🐀

It seems as good a time as any to share that I've accepted a new job as Lecturer of Cognitive Neuroscience (equivalent to assistant prof) at the University of Manchester in the UK! I dusted off the blog to say a bit more about why I'm excited for this move: tomdonoghue.github.io/ms/2025/04/1...

Very late, but had a 🔥 time at my first Cosyne presenting my work with @nandahkrishna.bsky.social, Ximeng Mao, @mattperich.bsky.social, and @glajoie.bsky.social on real-time neural decoding with hybrid SSMs. Keep an eye out for a preprint (hopefully) soon 👀 #Cosyne2025 @cosynemeeting.bsky.social

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?

Two more days until our workshop 🥳@cosynemeeting.bsky.social #Cosyne2025 Object-centric neural representations across species 🐒🐁🕷️🐝🖥️ Check out our homepage: toliaslab.org/workshop/cos... Excellent speakers include @dyamins.bsky.social @hansopdebeeck.bsky.social & many more 🙌

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

The @mackelab.bsky.social is represented at @cosynemeeting.bsky.social #cosyne2025 in Montreal with 3 posters, 2 workshop talks, and a main conference contributed talk (for the very first time in Mackelab history 🎉)!

🚨 New paper alert! 🚨 We’ve just launched openretina, an open-source framework for collaborative retina modeling across datasets and species. A 🧵👇 (1/9)

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!

New work co-led by @ppjgoncalves.bsky.social introduces a powerful new approach to model conditional distributions of neural and behavioral data using masked variational autoencoders. Congratulations to @auschulz.bsky.social‬ et al. https://www.cell.com/cell-reports/fulltext/S2211-1247(25)00109-3

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 🧪👩‍🔬

For our "Automated Assessment of Teaching Quality" project, we are looking for two PhD students: one in educational/cognitive sciences or a related domain (uni-tuebingen.de/fakultaeten/...) and one in machine learning (uni-tuebingen.de/en/faculties...). Please apply and reach me out for details!

⚡️ 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 🧠🧪

Re-posting is appreciated: We have a fully funded PhD position in CMC lab @cmc-lab.bsky.social (at @tudresden_de). You can use forms.gle/qiAv5NZ871kv... to send your application and find more information. Deadline is April 30. Find more about CMC lab: cmclab.org and email me if you have questions.

🚀 We’re hiring! Join Bernhard Schölkopf & me at @ellisinsttue.bsky.social to push the frontier of #AI in education! We’re building cutting-edge, open-source AI tutoring models for high-quality, adaptive learning for all pupils with support from the Hector Foundation. 👉 forms.gle/sxvXbJhZSccr...

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"

1) Some exciting science in turbulent times: How do mice distinguish self-generated vs. object-generated looming stimuli? Our new study combines VR and neural recordings from superior colliculus (SC) 🧠🐭 to explore this question. Check out our preprint doi.org/10.1101/2024... 🧵

Amazing!! So well deserved 🎈🚀🍀💛

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

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...

And next proud advisor moment: @annalenakofler.bsky.social talking about her masters thesis project we worked on while she was still at TUM.

Great talk by @annalenakofler.bsky.social Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics ml4physicalsciences.github.io/2024/files/N...

Scientists - consider writing up your research for Frontiers for Young Minds (if you are brave enough to face kid reviewers 😉). Here's how: kids.frontiersin.org/participate/... Like Liza Fazio! @lkfazio.bsky.social Or Yann LeCun! @ylecun.bsky.social kids.frontiersin.org/articles/10....

Inferring stochastic low-rank recurrent neural networks from neural data @matthijspals.bsky.social

@vetterj.bsky.social and I are excited to present our work at #NeurIPS2024! We present Sourcerer: a maximum-entropy, sample-based solution to source distribution estimation. Paper: openreview.net/forum?id=0cg... Code: github.com/mackelab/sou... (1/8)

Ported over from X! What will a foundation model for the brain look like? 🧠 We argue that it must be able to solve a diverse set of tasks across multiple brain regions and animals. Check out our NeurIPS paper which introduces a multi-region, multi-animal, multi-task model arxiv.org/abs/2407.14668

1) With our @neuripsconf.bsky.social poster happening tomorrow, it's about time to introduce our Spotlight paper 🔦, co-lead with @jkapoor.bsky.social: Latent Diffusion for Neural Spiking data (LDNS), a latent variable model (LVM) which addresses 3 goals simultaneously:

@jkapoor.bsky.social and @auschulz.bsky.social introduce LDNS, a diffusion-based latent variable model to generate diverse neural spiking data flexibly conditioned on external variables Poster #4010 (East; Wed 11 Dec 11PT) ➡️ openreview.net/forum?id=ZX6... 3/4

How can we build BCIs that operate robustly in the face of nonstationarities? Our @neuripsconf.bsky.social Datasets and Benchmarks paper introduces the Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark! Led by Brianna Karpowicz and @joelye.bsky.social

This list likely reflects mainly my interests and circle, and I’m sure I’ve missed many people, but I gave it a try: (I’ll be slowly editing it until it reaches 150/150) go.bsky.app/7VFUkdn (also, I tried but couldn't remove my profile...)