SuperNeuro is a neuromorphic simulator for Spiking Neural Networks. It has two modes of operation:

1. SuperNeuroMAT - fast and easy to use, using matrix computation to simulate networks of LIF neurons
   • Get started with the Installation Guide and Basic Usage tutorial
2. SuperNeuroABM - uses Agent-Based Modeling for heterogenous network simulation
   • Check out the Readme for installation instructions

• SuperNeuroMAT
  • Check out our tutorial for a Spiking Handwritten Digits Classifier using superneuromat on Google colab! Also available as a downloadable jupyter notebook in the tutorials/ folder.
• NeuroCoreX
  • Want to try inferencing digits on real hardware? Try our NeuroCoreX Inferencing Digits demo! Although NeuroCoreX works with multiple models of FPGA, this demo was created to be used with the 100 USD Artix 7-based CMod-A735T FPGA.
• SuperNeuroABM
  • Try our SuperNeuroABM Tutorial: Building Heterogeneous Spiking Neural Networks, available to download in the tutorials/ folder!

Date, Prasanna, Chathika Gunaratne, Shruti R. Kulkarni, Robert Patton, Mark Coletti, and Thomas Potok. "SuperNeuro: A fast and scalable simulator for neuromorphic computing." In Proceedings of the 2023 International Conference on Neuromorphic Systems, pp. 1-4. 2023.