2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
Jonathan D. McCart, Andrew R. Sedler, Christopher Versteeg +3
Recent advances in recording technology have allowed neuroscientists to monitor activity from thousands of neurons simultaneously. Latent variable models are increasingly valuable…
q-bio.NC2023★ 2 cited
Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity
Christopher Versteeg, Andrew R. Sedler, Jonathan D. McCart +1
The advent of large-scale neural recordings has enabled new methods to discover the computational mechanisms of neural circuits by understanding the rules that govern how their sta…