Welcome to muSim's documentation!
===================================

muSim/nuSim is a computational framework for predicting motor related
neural activity using recurrent neural newtorks (RNNs) and 
anatomically-accurate musculoskeletal systems. This repository contains various modules to train musculoskeletal systems using deep reinforcement learning (DRL)
and RNNs in order to capture the underlying dynamics executed by the motor cortex 
to generate movement.

Check out the :doc:`installation` to install necessary requirements.

Check out the :doc:`usage` for setting up, training, and evaluating the resulting DRL algorithm.

.. note::

   This project is under active development. If you need any help with using muSim for your application, please report in the GitHub Issues section.

Contents
--------

.. toctree::

   installation
   usage
   basic_usage
   task_information
   experimental_data
   musculo_details
   biological_constraints
   training_specs
   movement_feasibility
   reward_spec
   musim_training
   musim_testing
   qualitative_modules
   quantitative_modules
   pert_modules