🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

We are honored to receive this award! Thanks a lot and stay tuned for new projects to come! 🥳🥳🥳🎉🎉🎉

"KI gestaltet Demokratie – Demokratie gestaltet KI" - Podium+WorldCafé, 04.04.22 mit Eva Wolfangel Ulrike Luxburg @viktoria_sp @simschaupp, Thomas Grote - und mit euch?! Abschlussveranstaltung unseres PhD-Workshops zu #AIandDemocracy Universität Tübingen Anmeldung ai-and-democracy-workshop.de/podium/

If you are not following our sustainability challenges on Instagram, you can find them now all together on our website. So how many did you already complete? Check them out and get inspired for a more sustainable lifestyle! …ainabilityphdinitiative.wordpress.com/22-ideas-for-2…

📢 Great speaker in our next World Wide Neuro 🧠🗺️ talk on Thu May 19 at 4pm CEST: Kanaka Rajan Friedman Brain Institute Icahn School of Medicine at Mount Sinai on Curriculum learning as a tool to probe learning rules in #artificial and biological #brains Host Jakob Macke @ml4science Universität Tübingen 👉 bit.ly/3vyByvD

Why do we need SO many cell types in the retina? Efficient coding theory can begin to answer that! I am happy to announce that my new work “Efficient coding, channel capacity and the emergence of retinal mosaics” with @GregDField & @jmxpearson is accepted to #NeurIPS2022! more👇

Very excited for our October 20-22 workshop "Philosophy of Science Meets Machine Learning", hosted by @ml4science. Speakers include Cameron Buckner @FeestUljana David Watson lily hu Zachary Lipton Kathleen Creel and many more. For the full program, see sites.google.com/view/philml202…

So excited this is out nature 🎉 Pupil dilation with internal brain state rapidly shifts neural feature/color selectivity in mouse visual cortex by switching between rod&cone photoreceptors👁️🧠 nature.com/articles/s4158… Shared work with Konstantin Willeke, Andreas Tolias Lab @ Stanford University & sinzlab

I don’t remember what life was like before starting this project years ago, but somehow our brains track the order of events well. How? See our paper on spike phase coding in human MTL and RNNs with J.Niediek Matthijs Pals Machine Learning in Science @humansingleunit biorxiv.org/content/10.110… 1/5

How can one perform simulation-based inference on challenging real-world models? We introduce `Truncated Sequential Neural Posterior Estimation` (TSNPE), a robust and scalable simulation-based inference method. By Michael Deistler @ppjgoncalves Jakob Macke, accepted at NeurIPS ‘22. 🧵

A substantial part of my PhD work with @teulerlab at Universität Tübingen , with @CellTypist Matthias Bethge Alexander Ecker Katrin Franke Schwartz Lab, is now out as a preprint! We found "A chromatic feature detector in the retina that signals visual context changes" biorxiv.org/content/10.110…

#Opportunity .AIMS RWANDA is inviting applications for the graduate training school “Foundational Methods in Data Science” scheduled from March 19, 2023 to April 8, 2023 at AIMS Rwanda, Kigali For more details click here: bit.ly/3BECr8G Deadline: 15 January 2023

Our study on mental health in academia is out now! We present alarming numbers and we should start to take problems seriously. But we can all work together to change the academic system for the better!

Find us at Bernstein! 10 posters on ML methods for interpreting neural data: RNNs, spiking networks, connectome-constrained ANNs, uncertainty calibration in VAEs, decoding human brain recordings, diffusion models, forecasting aging in MRI, SBI+model component discovery and more:

Come work with us! We have an open PostDoc position in "Simulation-based model discovery" at Uni Tübingen in cooperation with Boehringer Ingelheim AI: uni-tuebingen.de/en/university/…

How can we train biophysical neuron models on data or tasks? We built Jaxley, a differentiable, GPU-based biophysics simulator, which makes this possible even when models have thousands of parameters! Led by Michael Deistler, collab with @CellTypist @ppjgoncalves biorxiv.org/content/10.110…

New preprint! Using simulation-based inference #SBI to map orientation #uncertainty and perform brain probabilistic #tractography. Work led by J.P. Manzano-Patron in collaboration with Jakob Macke Michael Deistler Cornelius Schröder Theo Kypraios @ppjgoncalves. European Research Council (ERC)