HuMAM 1.1.0
This release introduces updates to improve model usability, including the addition of a downscaling factor that allows running the model on local computers and a detailed Jupyter notebook tutorial.
New Features
Features added by @shimoura in #6:
- Implemented a downscaling factor to enable users to run the tutorial on local machines before scaling up to a supercomputer.
- Added a detailed Jupyter notebook tutorial to guide users through running the model and extracting useful information. This tutorial helps users understand the workflow and experiment with the model on a smaller scale.
- Added and refactored figure scripts to adapt them to run on the notebook tutorial.
- Added "Try it on EBRAINS" button to the main README file (it still has to be tested).
Enhancements
Enhancements and corrections to humam_tutorial.ipynb
suggested by @mlober and implemented by @shimoura in #7:
- Updated to clarify scaling factors, add notes on network dynamics, and improve markdown descriptions.
- Improved the description of the
cc_scalingEtoE
parameter and added explanations for its role in transitioning network activity.
Full Changelog: v1.0.0...v1.1.0