44 citations · 44 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 44 cited
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei, Joel Ye, David Zoltowski +13
Advances in neural recording present increasing opportunities to study neural activity in unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this…
q-bio.NC2016
Using Firing-Rate Dynamics to Train Recurrent Networks of Spiking Model Neurons
Brian DePasquale, Mark M. Churchland, L. F. Abbott
Recurrent neural networks are powerful tools for understanding and modeling computation and representation by populations of neurons. Continuous-variable or "rate" model networks h…