Yale Psychology Department is hiring! Open-rank position for a colleague interested in developing and employing novel analytical techniques and methods in any subfield of psychology. apply.interfolio.com/149833

📕Recovering network weights from a set of input-output neural activations 👀 Ever wondered if this is even possible? 🤔 Check out Expand-and-Cluster, our latest paper at #ICML2024! Thu. 11:30 #2713 proceedings.mlr.press/v235/martinell… A thread 🧵 ⚠️ Loss landscape and symmetries ahead ⚠️

It is an honour to have been awarded UCL’s Jon Driver prize for my PhD work in the Neural Computation Lab. I am grateful to Dimitar Kostadinov, Michael Häusser and Beverley Clark for their mentorship and support during all those years. And congratulations to my co-recipient, Eleanor Spens!

We computed a fluctuation correction for the spread of disease. The corrections suppress a spurious self-feedback effect artificially introduced by naive mean-field theory. journals.aps.org/pre/abstract/1…

1/ Excited to share new work with online, learning guy, Alex van Meegen, and Ashok Litwin-Kumar! "Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks" analyzes how global, spectral structure of connectivity in real-world networks affects collective dynamics.

Excited for Nano42 on 'circuit dynamics across brain regions during navigation (across species)' at #SfN2024. Come check out an amazing lineup of speakers! When: October 8, 8-12am Where: MCP N228 More info: abstractsonline.com/pp8/#!/20433/s…

Headed to Bernstein Network Computational Neuroscience Conference this weekend and interested in how biological computation is performed across different scales from single neurons to populations and whole-brain and even astrocytes and the whole body, drop by our workshop co-organized w/ Shervin Safavi

[1/5] Our paper “Tracking neurons across days with high-density probes” is now out in Nature Methods! rdcu.be/dVhCN UnitMatch is a software for chronic electrophysiology that will automatically track neurons for months!

This mini-review is based on Hugo Cui's PhD thesis: arxiv.org/abs/2409.13904 . My advice to him was: "Write something you would have loved to have when you started your PhD!" He did an outstanding job introducing the rich methods he developed. Enjoy and share widely!

Congrats Jacob @jzavatoneveth! Looking forward to reading your future work.

Had a great time chatting with @BjksPodcast about so many things, including my journey from 🇦🇷 to 🇳🇴, my lab and our research, Physics and Neuroscience, the Kavli Neuroscience, how important mentorship is and, of course, ultraslow oscillations and sequences😃🌟 Thanks for having me Ben!🙏

A big thanks to the early-career researchers who joined us this week HHMI | Janelia for the Junior Scientist Workshop on Theoretical Neuroscience! 🧠✨ It’s been an inspiring week of talks, discussions, and building connections. #Neuroscience #TheoreticalNeuroscience

📢 I'm on the faculty job market this year! My research explores the foundations of deep learning and analyzes learning and feature geometry for Gaussian inputs. I detail my major contributions👇Retweet if you find it interesting and help me spread the word! DM is open. 1/n

Review article: "Nonlinear partial differential equations in neuroscience: from modelling to mathematical theory" (by José A Carrillo, Pierre Roux): arxiv.org/abs/2501.06015