3 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
Kuramoto Orientation Diffusion Models
Yue Song, T. Anderson Keller, Sevan Brodjian +4
Orientation-rich images, such as fingerprints and textures, often exhibit coherent angular directional patterns that are challenging to model using standard generative approaches b…
Flow Equivariant Recurrent Neural Networks
T. Anderson Keller
Data arrives at our senses as a continuous stream, smoothly transforming from one instant to the next. These smooth transformations can be viewed as continuous symmetries of the en…
Langevin Flows for Modeling Neural Latent Dynamics
Yue Song, T. Anderson Keller, Yisong Yue +2
Neural populations exhibit latent dynamical structures that drive time-evolving spiking activities, motivating the search for models that capture both intrinsic network dynamics an…
Traveling Waves Integrate Spatial Information Through Time
Mozes Jacobs, Roberto C. Budzinski, Lyle Muller +2
Traveling waves of neural activity are widely observed in the brain, but their precise computational function remains unclear. One prominent hypothesis is that they enable the tran…