Welcome to 𝜂𝜇Sim's documentation!

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**𝜂𝜇Sim** is a methodology for predicting motor related

neural activity using recurrent neural newtorks (RNNs) and 

complex musculoskeletal systems. This repo contains code to train

multiple musculoskeletal systems using deep reinforcement learning (DRL)

and RNNs in order to capture the underlying dynamics used by the motor cortex 

to generate movement. We provide a system to properly instantiate musculoskeletal 

models using Mujoco and train them to reproduce experimentally recorded kinematics. 

We additionally implement several statistical tests to compare trained the RNN's 

activity with user's provided experimental neural data to compare their representations.

Check out the :doc:`installation` section to install necessary requirements, and :ref:`usage` 

for setting up, traininig, and evaluating the resulting DRL algorithm.

.. note::

   This project is under active development.

Contents

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.. toctree::

   installation

   usage