Excited that our work on combining statistical field theory of neural networks with large-deviation theory is now published in @PhysRevLett (open access): https://t.co/8wyXHOekvH
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 ! https://t.co/8o4pk3Kndk
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 [https://t.co/yLBlRRxazL]
2️⃣ Postdoc in ML theory [https://t.co/mZWwDzUtS6]
Beautiful campus, a liveable city near an archipelago 🛶 Work closely with me to shape the lab! 🌱
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! 🧠🐒🐁🧍
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Excited to announce RL at Harvard 2023, a one-day workshop on RL broadly construed. Date: August 29th, see https://t.co/M7UdQ0mTId 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!
https://t.co/uoQADQ1mfI
Today's the last day to apply for the CAJAL Machine Learning in Neuroscience summer school in beautiful Lisbon, Portugal. Please apply!
https://t.co/aKsnxVV8ku
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
🎉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 https://t.co/OKtntMxTOS (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. https://t.co/DfEJ5SXNE7 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!
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 [email protected]