23  NeMoS

NeMoS (Neural ModelS) 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.

To install it:

pip install nemos

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