110 citations · 298 across the 13 of their papers we have counts for
3 papers · 1 filter
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…
On 1/n neural representation and robustness
Josue Nassar, Piotr Aleksander Sokol, SueYeon Chung +2
Understanding the nature of representation in neural networks is a goal shared by neuroscience and machine learning. It is therefore exciting that both fields converge not only on…
Gated recurrent units viewed through the lens of continuous time dynamical systems
Ian D. Jordan, Piotr Aleksander Sokol, Il Memming Park
Gated recurrent units (GRUs) are specialized memory elements for building recurrent neural networks. Despite their incredible success on various tasks, including extracting dynamic…