External projects
Pynapple has been designed as a lightweight package for representing time series and epochs in system neuroscience. As such, it can function as a foundational element for other analysis packages handling time series data. Here we keep track of external projects that uses pynapple.
NEMOS
NeMOs is a statistical modeling framework optimized for systems neuroscience and powered by JAX. It streamlines the process of defining and selecting models, through a collection of easy-to-use methods for feature design.
The core of nemos includes GPU-accelerated, well-tested implementations of standard statistical models, currently focusing on the Generalized Linear Model (GLM).
Check out this page for many examples of neural modelling using nemos and pynapple.