Alex van Meegen
@AlexVanMeegen
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Postdoc @epfl with @compneuro_epfl; prev. Swartz fellow @harvard with @hsompolinsky
Lausanne, CH
Joined March 2018
Excited that our work on combining statistical field theory of neural networks with large-deviation theory is now published in @PhysRevLett (open access): Was a great experience working on this with Tobias Kühn and Moritz Helias!.
journals.aps.org
We here unify the field-theoretical approach to neuronal networks with large deviations theory. For a prototypical random recurrent network model with continuous-valued units, we show that the...
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RT @GiulioBiroli: And the 2025 Onsager prize goes to …. Jean-Philippe Bouchaud, Leticia Cugliandolo, and Jorge Kurchan!.Their works on out….
aps.org
The American Physical Society is a nonprofit membership organization working to advance physics by fostering a vibrant, inclusive, and global community dedicated to science and society.
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RT @framigna: Thrilled to share our new preprint on optimal replay protocols for continual learning using stat phys + control theory! Very….
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RT @stefsmlab: Very excited to announce openings for my first 2 lab members @chalmersuniv. 1️⃣ PhD in theory of ML bias [.
chalmers.se
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RT @AitorMoraGre: We got the cover at Cerebral Cortex! 🤩. The issue:. The paper:. https://t.….
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RT @AitorMoraGre: Time for a tweeprint of our latest paper!. We found that neuron densities follow a lognormal distribution within and acro….
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RT @johnjvastola: Excited to announce RL at Harvard 2023, a one-day workshop on RL broadly construed. Date: August 29th, see .
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RT @adric_dunn: Math in comp neuro summer camp!!.Apply now!!!.10-28/July in lovely Norway (amazing/middle of nowhere). No tuition and room/….
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RT @KristinMBranson: Today's the last day to apply for the CAJAL Machine Learning in Neuroscience summer school in beautiful Lisbon, Portug….
cajal-training.org
Machine learning for neuroscience machine learningOn Site artificial intelligence On Site machine learning - data analysis - computational neuroscience
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RT @compneuro_epfl: We're going to be at #NeurIPS2022 with two papers: (1) one on the application of the mean-field theory in fitting spiki….
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RT @sebastiangoldt: 🎉Applications are open for our #workshop on the theory of neural networks in Les Houches (France) from 20.-24.02.23, or….
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RT @HSompolinsky: Our work on manifold geometric theory underlying fast learning of novel concepts led by Ben Sorcher of the Ganguli Lab i….
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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.
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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!.
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RT @HSompolinsky: Postdoc position in Sompolinsky Group: If you are interested in doing exciting postdoc research at Harvard at the forefro….
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RT @AitorMoraGre: Bernstein conference continues!. Since one poster was not enough come by today to poster III-2 at 12h45 . This one is all….
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RT @_rdgao: a bit late but finally finished the COSYNE2022 blogpost. In it:. 1. some works I found particularly interesting at the main con….
rdgao.com
I accidentally wrote a small book about a conference I went to. Again.
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RT @yasser_roudi: Please join us in the beautiful Norwegian fjords to learn about Computational Neuroscience. deadline for applications:….
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RT @roxana_zeraati: Our Bayesian method for estimation of timescales (w/ @SelfOrgAnna and @EngelTatiana) is now out @NatComputSci, with exc….
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RT @NatComputSci: In a recent Article, @roxana_zeraati, @EngelTatiana and @SelfOrgAnna present a Bayesian method for unbiased estimation of….
nature.com
Nature Computational Science - A Bayesian method is presented for unbiased estimation of timescales from different types of experimental data; the method quantifies the estimation uncertainty and...
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RT @GjorJulijana: Don't forget to apply to the Cajal course in Computational Neuroscience! Deadline March 28!👇.
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