Alex van Meegen

Excited that our work on combining statistical field theory of neural networks with large-deviation theory is now published in @PhysRevLett (open access): doi.org/10.1103/PhysRe… Was a great experience working on this with Tobias Kühn and Moritz Helias!

And the 2025 Onsager prize goes to …. Jean-Philippe Bouchaud, Leticia Cugliandolo, and Jorge Kurchan! Their works on out of equilibrium dynamics are so beautiful, influential and important - real gems. Huge congratulations ! aps.org/funding-recogn…

Thrilled to share our new preprint on optimal replay protocols for continual learning using stat phys + control theory! Very excited about this direction 🚀

Very excited to announce openings for my first 2 lab members @chalmersuniv 1️⃣ PhD in theory of ML bias [chalmers.se/om-chalmers/ar…] 2️⃣ Postdoc in ML theory [chalmers.se/om-chalmers/ar…] Beautiful campus, a liveable city near an archipelago 🛶 Work closely with me to shape the lab! 🌱

We got the cover at Cerebral Cortex! 🤩 The issue: academic.oup.com/cercor/issue/3… The paper: doi.org/10.1093/cercor…

Time for a tweeprint of our latest paper! We found that neuron densities follow a lognormal distribution within and across cerebral cortical areas in several species! 🧠🐒🐁🧍 🧵

Excited to announce RL at Harvard 2023, a one-day workshop on RL broadly construed. Date: August 29th, see rlandthebrain.com for more. Submit your abstracts now! Hope you enjoy what @paul_masset, @jzavatoneveth, Kenneth Blum, @gershbrain, and I have put together!

@stammertescu @blake__bordelon @KCLDisSyst If you DM me you mail I can send you notes which I made in the context of a lecture on the relation between HS and Dirac delta approach.

@stammertescu @blake__bordelon @KCLDisSyst Afaik this is well defined mathematically in both cases but the math is a bit tricky. A brief summary is in Arfken chapter 7.3; a more extensive discussion in Bender & Orzsag chapter 6.

Math in comp neuro summer camp!! Apply now!!! 10-28/July in lovely Norway (amazing/middle of nowhere). No tuition and room/board/food(good) is covered. Great experience/speakers/students/activities!!!! “fire together, wire together” Do it! compneuronrsn.org

@_rdgao Ouch

telling non-academic friend about #cosyne23 and this is definitely the appropriate reaction

Today's the last day to apply for the CAJAL Machine Learning in Neuroscience summer school in beautiful Lisbon, Portugal. Please apply! cajal-training.org/on-site/artifi… Co-organizers: Gonzalo de Polavieja @dePolavieja & Memming Park @memming

We're going to be at #NeurIPS2022 with two papers: (1) one on the application of the mean-field theory in fitting spiking networks (SNNs) to neuronal recordings, and (2) another on a unifying framework for different models of memory storage. 1/3

@LBNaumann @sprekeler @ISTAustria @TPVogels Congratulations! All the best for the new adventures.

Major life updates: 1⃣ I've officially finished my PhD in the @sprekeler lab a few weeks ago. 🎓🥳 2⃣ As of Nov 1st I'm a postdoc at @ISTAustria with @TPVogels ! 🇦🇹🗻 1/4

🎉Applications are open for our #workshop on the theory of neural networks in Les Houches (France) from 20.-24.02.23, organised w/ @s_y_chung & @marc_mezard. Check out our fantastic set of speakers from neuro & ML and apply until Dec 1st statphysneuro.github.io (and pls retweet!)

Our work on manifold geometric theory underlying fast learning of novel concepts led by Ben Sorcher of the Ganguli Lab is out. pnas.org/doi/pdf/10.107… We apply our theory to object manifold representations in deep neural network (DNN) and in macaque IT cortex.

This implies that I managed to defend my PhD - super grateful for the support, input, and supervision by @sachavanalbada and Moritz Helias. It was a privilege (and a lot of fun) to work with the INM-6 team @fz_juelich.

A little late but I want to share that I started a fellowship under guidance of @HSompolinsky at the center for brain science @harvard. Excited to be part of the group and the CBS community!

@lowrank_adrian Congratulations!

Postdoc position in Sompolinsky Group: If you are interested in doing exciting postdoc research at Harvard at the forefront of computational neuroscience and the interface between natural and artificial intelligence, send application and 3 letters to hsompolinsky@mcb.harvard.edu