Zach Danziger

@danzigerzachary.bsky.social

Associate Prof of Rehabilitation Medicine and Biomedical Engineering at Emory working on neural interfaces and models of the brain and bladder. Blog: https://scholarblogs.emory.edu/danziger/danziger-lab-blog/

Our new podcast is out about why biomedical science is so important to our communities: Holy Shift! Biomedical Breakthroughs Shaping Tomorrow Please Share! Our first episode is Dr. Mike Davis on repairing congenital heart defects in children. ❣️ www.youtube.com/watch?v=xrvO...

Holy Shift: Biomedical Breakthroughs Shaping Tomorrow - Episode 1: YOUR NEW HEART | Mike Davis

YouTube video by Wallace H. Coulter Dept. of Biomedical Engineering

youtube.com

#BCI world, we made a new decoder that works *really* well. It picks a velocity off a short menu instead of allowing any possible 2D vel. 93% vs 39% success in our model and 61% vs 37% in NHP iBCI for cursor control. Does it work for your #BCI? Paper: iopscience.iop.org/article/10.1...

Less is more: selection from a small set of options improves BCI velocity control - IOPscienceSearch

Less is more: selection from a small set of options improves BCI velocity control, Alcolea, Pedro I, Ma, Xuan, Bodkin, Kevin, Miller, Lee E, Danziger, Zachary C

iopscience.iop.org

Insightful take on why building good, predictive models of systems-physiology is so tough. I can't help but point out that these same problems exist for baby models, not just monster ones, and that some of the problem comes from dubious modules... scholarblogs.emory.edu/danziger/202...

Middling Models – with Missing Modules – Danziger Lab

scholarblogs.emory.edu

Ben Recht@beenwrekt.bsky.social · 2y ago

Stitching component models into system models has proven difficult in biology. But how much easier has it been in engineering? www.argmin.net/p/monster-mo...

Have you you ever had an incomplete (ODE) model of your favorite system but can't complete it because your system has some lurking states you can't record? We have a method to accurately infer the missing state *and* build a neural ODE for its equation! It's at AAAI 2025: arxiv.org/abs/2412.08681

Learning Physics Informed Neural ODEs With Partial Measurements

Learning dynamics governing physical and spatiotemporal processes is a challenging problem, especially in scenarios where states are partially measured. In this work, we tackle the problem of learning...

arxiv.org