This module implements the ReLORETA algorithm from the article -A Robust eLORETA Technique for Localization of Brain Sources in the Presence of Forward Model Uncertainties- Noroozi. A, 2022
Project description
Project Title
The reloreta module implements the ReLORETA algorithm from the article "A Robust eLORETA Technique for Localization of Brain Sources in the Presence of Forward Model Uncertainties", Noroozi. A et al, 2022
Installation
You can install the package as follows: pip install reloreta or using the following for IPython: !pip install reloreta
Example
For the complete example of how to use and apply the module, please see the following page: https://github.com/AminNoroozi/ReLORETA
License
This project is licensed under the MIT License. See the LICENSE file for details.
Contact
Author: Amin Noroozi Email: amin.noroozi555@gmail.com GitHub: https://github.com/AminNoroozi
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
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 reloreta-0.0.1.tar.gz.
File metadata
- Download URL: reloreta-0.0.1.tar.gz
- Upload date:
- Size: 5.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d97ecc181307b46c7e1b575fa9e5bfe0dafdba34ef243e61eda07efd92c3a16
|
|
| MD5 |
cede0628484047f46779f71c2bf9bd2c
|
|
| BLAKE2b-256 |
0955beffc04b57b760abff8a528c9ed4330ae6057f532ce5a092fa70b7f49b0c
|
File details
Details for the file reloreta-0.0.1-py3-none-any.whl.
File metadata
- Download URL: reloreta-0.0.1-py3-none-any.whl
- Upload date:
- Size: 5.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2f8dcab58956ccce7168a30c0ce5f0623f3659768b2696151786f58dacad49c2
|
|
| MD5 |
6a634e485188eabc2c01c4e69c724b20
|
|
| BLAKE2b-256 |
9e0922aa08d4f019e423d56b50ea3070b39214ae71193c78664749682a949a0c
|