Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data

no code implementations • 6 Nov 2018 • Daniel Hernandez, Antonio Khalil Moretti, Ziqiang Wei, Shreya Saxena, John Cunningham, Liam Paninski

We present Variational Inference for Nonlinear Dynamics (VIND), a variational inference framework that is able to uncover nonlinear, smooth latent dynamics from sequential data.

Time Series Time Series Analysis +1

A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS

no code implementations • 27 Sep 2018 • Daniel Hernandez Diaz, Antonio Khalil Moretti, Ziqiang Wei, Shreya Saxena, John Cunningham, Liam Paninski

In the case of sequential data, closed-form inference is possible when the transition and observation functions are linear.

Time Series Time Series Analysis +1