
Kyle Johnsen
@kyleajohnsen
Comp. neuroengineering: control, dynamics, SNNs. PhD student with @crozSciTech @BME_GT_Emory. 🇺🇸🇪🇸🇩🇪🇨🇳🇮🇱 husband + dad*3
ID: 4549119314
https://kjohnsen.org 13-12-2015 17:39:39
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DPAD is finally out in Nature Neuroscience! 🎉 I actually started this work during the last year of my PhD back in 2020 (!) & we posted the preprint 3 years ago!!! Some things really do take time... Huge thanks to Maryam Shanechi for her unwavering support throughout this journey! 🙌

Out now! Byron Yu, ShenghaoWu, Matt Smith, Brent Doiron, Chengcheng Huang et al. present a procedure to customize spiking network models that reproduce the population-wide covariability of large-scale neuronal recordings. nature.com/articles/s4358… ➡️rdcu.be/dT5i9

How can we train biophysical neuron models on data or tasks? We built Jaxley, a differentiable, GPU-based biophysics simulator, which makes this possible even when models have thousands of parameters! Led by Michael Deistler, collab with @CellTypist @ppjgoncalves biorxiv.org/content/10.110…




At NeurIPS and care about dynamical systems models for neuroscience? Come check out Yenho Chen presenting his poster on "Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics" on Wed at 4:30pm (#3910).

New in NeurIPS Conference, we develop PGLDM, an analytical subspace identification method to jointly model two generalized-linear time-series & dissociate their shared vs private dynamics. #NeurIPS2024 Poster Sess 5 East #3808, Fri Dec 13 11am 👏Lucine Oganesian Omid Sani Paper, Code &🧵⬇️




Say `Hello` 👋 to FastHTML and MonsterUI Modern Python🐍 web development 👨💻 made easy! Thanks Jeremy Howard and Isaac Flath! drewecherd.com/post/hello-fas…


