Max Schelski 🇺🇦 @MaxSchelski
Neuroscientist. Developing mathematical models of cell biology underlying synaptic plasticity. Postdoc in Tchumatchenko group. github.com/maxschelski Bonn, Germany Joined April 2018-
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Only one week left till Deadline: Aug 11th
Happy the LaTeX template I created for DFG proposals is being used! 🎉 Just heard from someone in data engineering who got funded using it (🎯 content matters most, but hey, layout helps too 😄) See: github.com/hoelzer/dfg Also loving the community input via PRs & issues! 💙
1 To predict the behaviour of a primate, would you rather base your guess on a closely related species or one with a similar brain shape? We looked at brains & behaviours of 70 species, you’ll be surprised! 🧵Thread on our new preprint with @R3RT0 , doi.org/10.1101/2025.0…
🚨 New in Nature Communications! CoVerage (sarscoverage.org) enables early in silico detection of emerging SARS-CoV-2 variants. Led by Helmholtz Centre for Infection Research, driving innovation in genomic surveillance. 🔗 nature.com/articles/s4146… #GenomicSurveillance
We are happy to announce an opening for a Tenure Track Assistant Professor Faculty Position in Neuroscience at EPFL. Join our groups working on cellular & circuit neuroscience & neurocomputation - go.epfl.ch/brain. Deadline Oct 1 2025, Apply now - go.epfl.ch/neurofaculty
Trying to train RNNs in a biol plausible (local) way? Well, try our new method using predictive alignment. Paper just out in Nat. Com. @TAsabuki deserves all the credit! nature.com/articles/s4146…
💸 Looking for funding for your #CompNeuro research? We curate interesting funding opportunities for all career levels on our website. Right now there are 15 open calls! Check them out here 👉 bernstein-network.de/en/newsroom/ca…
#AI and #computervision folks: this will be interesting to you! Robust visual inference beyond scale, but achieved by taking inspiration from how infant vision develops. Shown to work across many architectures and comes with a neat preprocessing pipeline that you can use.
#AI and #computervision folks: this will be interesting to you! Robust visual inference beyond scale, but achieved by taking inspiration from how infant vision develops. Shown to work across many architectures and comes with a neat preprocessing pipeline that you can use.
Exciting new preprint from the lab: “Adopting a human developmental visual diet yields robust, shape-based AI vision”. A most wonderful case where brain inspiration massively improved AI solutions. Work with @lu_zejin @martisamuser and Radoslaw Cichy arxiv.org/abs/2507.03168
We are seeking two independent Max Planck Research Groups working in scientific disciplines relevant to our institute. Applications should be sent in PDF format no later than 15th August 2025. Visit our call for applications on our institute website for detailed information!
After a year of review, our paper is now out in @NatureComms ! I really think our model/theory offers one of the most promising frameworks yet for learning in neocortical circuits - perhaps not in its final form, but the core principle of ssl feels right. Hoping experimentalists…
After a year of review, our paper is now out in @NatureComms ! I really think our model/theory offers one of the most promising frameworks yet for learning in neocortical circuits - perhaps not in its final form, but the core principle of ssl feels right. Hoping experimentalists…
Pleased to say that our story of how a theory of self-supervised learning in cortical layers accounts for several experimental observations is now out 🎉 nature.com/articles/s4146…
💡New study in Neuron, featuring modeling insights: Cell-Specific Dendritic Integration in Cortical GABAergic Interneurons! It reveals PV & SST interneurons compute differently. This highlights how distinct dendrites enable specialized brain computations! sciencedirect.com/science/articl…
Are predictions computed hierarchically, or can they be computed locally? Check out our paper! Congrats @TAsabuki pnas.org/doi/10.1073/pn…
Are predictions computed hierarchically, or can they be computed locally? Check out our paper! Congrats @TAsabuki pnas.org/doi/10.1073/pn…
🚀Out in PNAS! We find that recurrent networks trained with the predictive plasticity rules explain many features of prediction errors observed in experimental studies pnas.org/doi/10.1073/pn… @ClopathLab
For this special occasion also on Twitter: tomorrow is the deadline for the 2026 imbizo.africa. Come to the most special place in the world to the most special computational neuroscience. @isiCNI #neuro in #africa.
We need more nominations!!!
We need more nominations!!!
How do animals learn new rules? By systematically testing diff. behavioral strategies, guided by selective attn. to rule-relevant cues: rdcu.be/etlRV Akin to in-context learning in AI, strategy selection depends on the animals' "training set" (prior experience).
So you want to change transgene expression: just change your promoter, right? Changing the promoter increases RNA and thus protein levels. What more could be happening? [1/n] Well, promoters don’t just set RNA levels; they uniquely transform how RNAs are transmitted into protein…
Thrilled to announce I'll be starting my own neuro-theory lab, as an Assistant Professor at @YaleNeuro @WuTsaiYale this Fall! My group will study offline learning in the sleeping brain: how neural activity self-organizes during sleep and the computations it performs. 🧵
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