sPyMem: spike-based bio-inspired memory models
About sPyMem
sPyMem is an open-source package that offer fully-functional spike-based bio-inspired hippocampal memory models implemented with SNN technology in the SpiNNaker hardware in Python.
Installing
You can install sPyMem via pip thanks to its PyPi distribution:
pip install sPyMem
or download it from source on their github repository.
Documentation
The Python code has been documented using docstrings, which is very convenient for users that want to either use the software or develop new features and functionalities.
To see all the information for the different Python modules, classes, methods and all the possible configuration options, read the ReadTheDocs Documentation
Cite this work
Still under construction.
License
This project is licensed under the GPL License - see the LICENSE.md file for details.
Copyright © 2022 Daniel Casanueva-Morato
dcasanueva@us.es
Metadata
Release files for sPyMem 0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sPyMem-0.0.9.tar.gz | 33.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sPyMem-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 68.9 kB
Release files / sPyMem-0.0.9.tar.gz
| Download URL | sPyMem-0.0.9.tar.gz |
|---|---|
| Size | 33.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / sPyMem-0.0.9-py3-none-any.whl
| Download URL | sPyMem-0.0.9-py3-none-any.whl |
|---|---|
| Size | 35.4 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.10
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