📢Have work to share with the computational and systems neuroscience community? Abstract submissions for #COSYNE2027 are now open. Deadline: 18 October 2026, 11:59 p.m. AoE Submit your abstract: www.cosyne.org/abstracts-su... #Neuroscience
Victor Geadah
@vgeadah.bsky.social
Research Fellow at the Flatiron Institute, CCN. PhD in statistical neuroscience from Princeton. https://victorgeadah.github.io
Congrats to PNI + affiliated trainees named 2025 Honorific Fellows by the @princeton.edu Graduate School! 👏 Victor Geadah 👏 Isaac Christian 👏 @danmirea.bsky.social gradschool.princeton.edu/news/2025/ho...
Honorific Fellows celebrated by Princeton Graduate School amidst 125th Anniversary
Thirty-two exceptional graduate students who received named or endowed fellowships for this academic year were recently feted by the Princeton Graduate School. The honorific fellowships support advanc...
gradschool.princeton.edu
In a system subject to unobserved control, can you infer both the underlying dynamics and the control objective? 🤔 A year ago, I was presenting our work at IEEE CDC on solving this problem for stochastic LQR. arxiv.org/abs/2502.15014 Short 🧵 on the results, and how I think about them a year later.
At #NeurIPS2025! 🎉 Excited to present Conditionally Linear Dynamical Systems (CLDS). We leverage the dependence of neural dynamics on task covariates to yield an interpretable, flexible model of dynamics. Come meet and check it out! 📍: Poster #2209, Hall C,D,E on Thu Dec 4, 11 am–2 pm, PST. 🧵/6
Thanks @hritz.bsky.social ! We published this work at NeurIPS, currently there to present it. 🔗: openreview.net/forum?id=xgm...
Modeling Neural Activity with Conditionally Linear Dynamical Systems
Neural population activity exhibits complex, nonlinear dynamics, varying in time, over trials, and across experimental conditions. Here, we develop *Conditionally Linear Dynamical System* (CLDS)...
openreview.net
Cool project led by Victor Geadah, fitting smoothly time-varying (and condition-varying) linear dynamical systems to neural activity. arxiv.org/abs/2502.18347