A matrix-based simulation framework for neuromorphic computing
Project description
SuperNeuroMAT v1.3
SuperNeuroMAT is a matrix-based simulator for simulating spiking neural networks to be used in neuromorphic computing.
Installation
- Install using
pip install superneuromat - Update/upgrade using
pip install superneuromat --upgrade
Usage
- In a Python script or on a Python interpreter, do
import superneuromat as snm - The main class can be accessed by
model = snm.NeuromorphicModel() - Refer to docstrings in the source code for the API
For Development
- Clone the
superneuromatrepo:git clone https://github.com/ORNL/superneuromat.git - Add the path to
superneuromatto your$PYTHONPATH:export PYTHONPATH=$PYTHONPATH:/path/to/superneuromat. - You may want to update the
$PYTHONPATHin your.bash_profileor.bashrc.
Directory Info
superneuromat: This contains the source code forsuperneuromattests: This contains unittests for development purposes. Please ignore!
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
superneuromat-1.3.tar.gz
(7.7 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file superneuromat-1.3.tar.gz.
File metadata
- Download URL: superneuromat-1.3.tar.gz
- Upload date:
- Size: 7.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a1f63753520b894ef9c3d5d763301a91a053899e9cd7a890f4cacaec3ce1a2b
|
|
| MD5 |
e97a1c3956747063786d408750e32150
|
|
| BLAKE2b-256 |
2f5df9b58a29a8e6649a9761e337f2eefdc21071d3e02b7e7d1a8dde69877fa9
|
File details
Details for the file superneuromat-1.3-py3-none-any.whl.
File metadata
- Download URL: superneuromat-1.3-py3-none-any.whl
- Upload date:
- Size: 8.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
aa1f882e19563706eae9cc2f8df6fb071cc5d3547b789eae0daf2dab5fb58ff5
|
|
| MD5 |
b2cf9250d9bb929bc9e2d03b30ed5388
|
|
| BLAKE2b-256 |
58dd07baff1053038ad6de7018b0a53febd6e1e73de0a2dd39df1c9244e2386b
|