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Documentation Enhancements:
- Streamlined README.md with a Try It On EBRAINS button and step-by-step user instructions.
- Removed "Testing on EBRAINS" section for clarity.
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Parameter Tuning Improvements:
- Segregated parameters in down-scale multi-area mode into Parameters to Tune and Default Parameters.
- Introduced exposure of four user-friendly parameters, while retaining others for internal tuning.
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Visualization Augmentations:
- Introduced Extract and Visualize Interareal Connectivity to display area-level relative connectivity via heatmaps.
- Added Simulation Results Visualization section with separate code modules in “./figures/MAM2EBRAINS”.
- Enriched visualization with three new plots detailing instantaneous firing rate, resting state, and time-averaged population rates.
- Refined representation of resting state plots inspired from Schmidt M et al. (2018), allowing users flexible area selection, altered synchrony representation, and a focus on binned spike histograms.
- Notebook Refinements:
- Overhauled Jupyter Notebook structure with an accessible table of contents for user navigation.
- Enhanced parameter descriptions for both exposed and default sets.
- Incorporated model overview and concise description of the down-scaled multi-area model.
- Cross-referenced relevant publication figures for user benefit.
- Minimized irrelevant print statements in codebase for clearer user outputs.
- Updated .gitignore to exclude checkpoint files.
- Resolved file path separator issue in ./multiarea_model/data_multiarea/SLN_logdensities.R.
- Addressed datatype concerns in ./multiarea-model/analysis.py for array initialization.
- Rectified incorrect NEST logo URL in README.md.