CaRNN

Repository to develop a class that generates a recurrent neural network model to replicate calcium imaging datasets. The RNNs are constructed using PyTorch.
Explore the docs »

View Demo · Report Bug · Request Feature

About The Project

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

A list of software required for the CaRNN project and how to install the packages.

• networkx

  pip install torch

• numpy

  pip install numpy

• matplotlib

  pip install matplotlib

• pynwb

  pip install pynwb

Installation

1. Clone the repo

   git clone https://github.com/vporubsky/CaRNN.git

2. Install via PyPI

   pip install carnn

Usage

Examples of using the package will be added here. Additional screenshots, code examples and demos will be included formally in documentation.

Documentation to be added.

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Veronica Porubksy - verosky@uw.edu

Project Link: https://github.com/vporubsky/CaRNN

Acknowledgements

• Sauro Lab at the University of Washington
• Bruchas Lab at the University of Washington