SuperNeuro

Neuromorphic simulator with two modes of computation:

1. Agent Based Mode (ABM) - SuperNeuroABM
2. Matrix Computation - SuperNeuroMAT

Installation: SuperNeuroABM

Requirements:

Python version >=3.8

Optional requirements if running on GPU:

CUDA enabled GPU with compute compatibility 6.0+

CUDA drivers

pip install superneuroabm

Or if the above doesn't work, you can try this:

pip install git+https://github.com/ORNL/superneuroabm

Usage:

from superneuroabm.model import NeuromorphicModel

SuperNeuroABM allows one to run simulations on GPUs. It can be accessed by instantiating the model as

NeuromorphicModel(use_cuda = True)

Intstallation: SuperNeuroMAT

Requirements: Python version >=3.8

pip install superneuromat

Or if the above doesn't work try the following from the github repo:

pip install git+https://github.com/ORNL/superneuromat.git

Usage:

from superneuromat.neuromorphicmodel import NeuromorphicModel

In each of the modes, the neuromorphicmodel allows the user to create neurons and synapses as per the application or algorithm requirements.

Tutorials:

Jupyter notebooks with tutorials for each of the two modes of SuperNeuro are located in the 'Tutorials' directory.

Publications:

Arxiv Preprint available at:

Date. P., Gunaratne, C., Kulkarni, S., Patton, R., Coletti, M., & Potok, T. (2023). SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. arXiv preprint arXiv:2305.02510.