Neuronal Network Meanfield Toolbox
Project description
NNMT - Neuronal Network Meanfield Toolbox
NNMT is an open-source, community centered Python package for collecting reusable implementations of analytical methods for neuronal network model analysis based on mean-field theory.
Documentation
Please visit our official documentation.
In order to compile the documentation on your own, you have to change your
working directory to nnmt/ and install and activate the provided conda
environment
conda env create -f environment.yaml
conda activate nnmt
Change you working directory to nnmt/docs/ and run the following commands
make clean
make html
This will compile the documentation and create the folder build/.
Now you can access the documentation using your preferred browser by opening
the file build/html/index.html.
Citation
If you use NNMT for your project, please don't forget to cite NNMT.
License
GNU General Public License v3.0, see LICENSE for details.
Acknowledgments
See acknowledgments.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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 nnmt-1.1.0.tar.gz.
File metadata
- Download URL: nnmt-1.1.0.tar.gz
- Upload date:
- Size: 45.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b583d9d9e0bc3a1d5641c463f10a9c4bd9b7c286ae20f83100732aff0102964e
|
|
| MD5 |
68cbc24873c1ba8c3bc6e850a74e7c9b
|
|
| BLAKE2b-256 |
b1e108728ad700a759abf191580b3e10d015b7ebe80002be9e67616e912277c3
|
File details
Details for the file nnmt-1.1.0-py3-none-any.whl.
File metadata
- Download URL: nnmt-1.1.0-py3-none-any.whl
- Upload date:
- Size: 53.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bbe64c971fd4b318c573df65e2ac0ac7db4214d1351290ac1d06a9ecff62240b
|
|
| MD5 |
7a48622e4a9c996f806b92202cee5aee
|
|
| BLAKE2b-256 |
fab429952517841d8e5fa3d426cf67a34d2a94d84fd2ce1dcd19ee5333881205
|
