Nonlinear vs. Linear Regression: Differences and Applications

Learn how nonlinear and linear regression models differ, predict variables, and their applications in data analysis for accurate results.
Nature

Dynamical flexible inference of nonlinear latent factors and structures in neural population activity

Modelling the spatiotemporal dynamics in the activity of neural populations while also enabling their flexible inference is hindered by the complexity and noisiness of neural observations. Here we ...
Nature

A neural network that enables flexible nonlinear inference from neural population activity

We show that nonlinear latent factors and structures in neural population activity can be modelled in a manner that allows for flexible dynamical inference, causally, non-causally and in the presence ...