2 citations · 3 across the 4 of their papers we have counts for
4 papers
Reproducible, incremental representation learning with Rosetta VAE
Miles Martinez, John Pearson
Variational autoencoders are among the most popular methods for distilling low-dimensional structure from high-dimensional data, making them increasingly valuable as tools for data…
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
Anne Draelos, Pranjal Gupta, Na Young Jun +2
While most classic studies of function in experimental neuroscience have focused on the coding properties of individual neurons, recent developments in recording technologies have…
Online neural connectivity estimation with ensemble stimulation
Anne Draelos, Eva A. Naumann, John M. Pearson
One of the primary goals of systems neuroscience is to relate the structure of neural circuits to their function, yet patterns of connectivity are difficult to establish when recor…
A Goal-Based Movement Model for Continuous Multi-Agent Tasks
Shariq Iqbal, John Pearson
Despite increasing attention paid to the need for fast, scalable methods to analyze next-generation neuroscience data, comparatively little attention has been paid to the developme…