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gviejo committed Jan 22, 2025
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Expand Up @@ -8,11 +8,11 @@ As such, it can function as a foundational element for other analysis packages h

![image](https://raw.githubusercontent.com/flatironinstitute/nemos/main/docs/assets/glm_features_scheme.svg)

[NeMoS](https://nemos.readthedocs.io/en/stable/) 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.
[NeMoS](https://nemos.readthedocs.io/en/latest/index.html) 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](https://nemos.readthedocs.io/en/stable/generated/neural_modeling/) for many examples of neural modelling using nemos and pynapple.
Check out this [page](https://nemos.readthedocs.io/en/latest/tutorials/README.html) for many examples of neural modelling using nemos and pynapple.

```{eval-rst}
.. Note::
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