Pedro J. Goncalves
Computational Neuroscience and Machine Learning. Group Leader at VIB.AI (vib.ai/en) and Associate Professor at KU Leuven (www.kuleuven.be/english/kuleuven). Affiliated with VIB-KUL CN (vibneuroscienceleuven.be).
More details at goncalveslab.sites.vib.be
- Reposted by Pedro J. Goncalves🚀 Proudly introducing the VIB-KU Leuven Center For Neuroscience, a merger of the two former VIB research centers VIB-KU Leuven Center for Brain & Disease Research and Neuro-Electronics Research Flanders (NERF)! Our new motto: Bold Science, Real Impact. www.youtube.com/watch?v=uhaq...
- Reposted by Pedro J. GoncalvesThis is the happy face of four researchers embarking on a cool scientific collaboration backed by 7-years of structural financing! Congrats @steinaerts.bsky.social, @joanampereira.bsky.social, @ppjgoncalves.bsky.social, and Maarten De Vos on your Methusalem grant. tinyurl.com/nvcardzy
- Reposted by Pedro J. GoncalvesThe work this article is about has recently been published in @natmethods.nature.com ! It was led by @deismic.bsky.social and was a collaboration between the labs of @jakhmack.bsky.social / @mackelab.bsky.social, @philipp.hertie.ai and @ppjgoncalves.bsky.social.
- Reposted by Pedro J. GoncalvesSimulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI. 📄 Paper: arxiv.org/abs/2508.12939
- Reposted by Pedro J. GoncalvesNew work out today by a collaborative team including @ppjgoncalves.bsky.social! 🙌 Introducing #JAXLEY, a differentiable simulator that brings biophysically detailed neural models into the realm of large‑scale, machine‑learning‑powered optimization. doi.org/10.1038/s41592-025-…
- Super excited about this work led by the one and only @deismic.bsky.social!
- Our work on training biophysical models with Jaxley is now out in @natmethods.nature.com. Led by @deismic.bsky.social, with @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social et al. Paper: www.nature.com/articles/s41...
- Reposted by Pedro J. Goncalves“Mapping ion channel function” doi.org/10.7554/eLif... isn’t exactly a citation slayer, but it’s still one of my favourites (& my first independent project). Today we push pt 2, where we trace code origin & unite almost all channel models in a common expression. Boom! www.biorxiv.org/content/10.1...
- Reposted by Pedro J. GoncalvesFrom hackathon to release: sbi v0.25 is here! 🎉 What happens when dozens of SBI researchers and practitioners collaborate for a week? New inference methods, new documentation, lots of new embedding networks, a bridge to pyro and a bridge between flow matching and score-based methods 🤯 1/7 🧵
- Super exciting work led by @bconfavreux.bsky.social and @tpvogels.bsky.social!
- We just pushed “Memory by a 1000 rules” onto bioRxiv, where we use clever #ML to find #plasticity quadruplets (EE, EI, IE, II) that learn basic stability in spiking nets. Why is it cool? We find 1000s!! of solutions, and they don’t just stabilise. They #memorise! www.biorxiv.org/content/10.1...
- Reposted by Pedro J. GoncalvesThe @ppjgoncalves.bsky.social lab is recruiting a PhD student via the VIB.AI International PhD Call 2025! Join to develop machine learning tools for neuroscience, focusing on simulation-based inference & neural circuit modeling. 📍 Leuven 🗓️ Apply by June 22 → tinyurl.com/53nc9vnd
- Fantastic PhD opportunities at the intersection of machine learning and biology. Come join us at @vibai.bsky.social! More details at: vib.ai/en/vibai-int...
- Fantastic opportunity to establish your lab in ML for biology! Come join us!
- We are looking for additional Group Leaders to join the growing computational biology community at VIB. If you are excited about combining AI and machine learning with fundamental biology, we would love to hear from you! vib.ai/en/opportunities#/j…
- 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...
- Reposted by Pedro J. GoncalvesHayden, Karthik & Nastya from the @ppjgoncalves.bsky.social lab joined the #SBI Hackathon in Tübingen in March, contributing to the open-source SBI package. Nastya gave a lightning talk on multifidelity inference for computationally expensive simulators. A great week of science & collaboration!
- Reposted by Pedro J. GoncalvesThanks 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...
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View full threadReposted by Pedro J. GoncalvesWe apply our masked VAE approach to drosophila 🪰walking behavior, a macaque 🐒reach task & a synthetic dataset with access to the ground truth. We propose calibration checks to evaluate the models’ uncertainty estimates, to avoid making confidently wrong predictions. Check out the paper for more 🙂
- Reposted by Pedro J. GoncalvesIt's been a blast, thanks to @sbi-devs.bsky.social ! This week's hackathon was phenomenal! 🙏 😍 The sbi hackathon welcomed about 25 people in Tübingen with contributions spanning the globe , e.g. 🇺🇸🇯🇵🇧🇪🇩🇪. Wanna see, what we did? Check out the PRs👇 github.com/sbi-dev/sbi/...
- Reposted by Pedro J. GoncalvesNew 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. cell.com/cell-reports/fullte…
- Reposted by Pedro J. Goncalves1) 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... 🧵
- Reposted by Pedro J. Goncalves🎉 Just in time for the end of the year, we’ve released a new version of sbi! 📦 v0.23.3 comes packed with exciting features, bug fixes, and docs updates to make sbi smoother and more robust. Check it out! 👇 🔗 Full changelog: github.com/sbi-dev/sbi/...
- Reposted by Pedro J. GoncalvesCutting it a bit fine, but here’s my review of the year in neuroscience for 2024 The eighth of these, would you believe? We’ve got dark neurons, tiny monkeys, the most complete brain wiring diagram ever constructed, and much more… Published on The Spike Enjoy! medium.com/the-spike/20...
- Reposted by Pedro J. Goncalves
1/ Excuse me, can I interest you in eliciting your beliefs as flexible probability distributions? No worries, we only need pairwise comparisons or rankings, no personal details. Led by **Petrus Mikkola** and joint with **Arto Klami**, to be presented soon at @neuripsconf.bsky.social #NeurIPS2024 - Reposted by Pedro J. GoncalvesWe are launching an SBI Discord Server! 🎉 We want to use this server to further build a community around SBI, i.e., for sharing insights, questions and events around simulation-based inference in general and the sbi package in particular. You are all invited to join! 🤗 github.com/sbi-dev/sbi/...
- Very privileged to be part of such an inspiring and fun community (effort)!
- The sbi package is growing into a community project 🌍 To reflect this and the many algorithms, neural nets, and diagnostics that have been added since its initial release, we have written a new software paper 📝 Check it out, and reach out if you want to get involved: arxiv.org/abs/2411.17337
