Published October 4, 2019
| Version v1.1.0
Software
Open
jonescompneurolab/hnn: HNN Release 1.1.0
Description
Bug fixes:
- Fixed automatic detection of available cores to not count hyperthreading cores
- Fixed dipole plot y-scaling to look at the currently selected sim
- Fixed a bug introduced in v1.0 where data on disk a successful simulation wasn't loaded
- Fixed which optimized parameter set was plotted at the conclusion of optimization (gray line)
- Redraw the plot canvas when data is removed so that axes can be scaled appropriately
- RMSE calculation will now properly handle experimental data that is shorter than simulation duration
- Handle case where the user changes simulation name during the middle of optimization (original value is used)
- Avoid crashing at the last optimization step when the previous steps bring two inputs close enough together that they become part of the same optimization step
Features:
- The histograms of evoked inputs displayed in the main window are more granular (smaller bin widths)
- Remove unnecessary x-axis tickmarks for histograms
- Build docker image with labels injected for the current version. Allows reusing cache on DockerHub builds
- Make parameter values read-only in optimization configuration window
- Display the delta between initial and optimized parameter values in optimization configuration window
Files
jonescompneurolab/hnn-v1.1.0.zip
Files
(5.6 MB)
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md5:84ac5785f9562c90b882fb9493cdc0c2
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Additional details
Related works
- Is supplement to
- https://github.com/jonescompneurolab/hnn/tree/v1.1.0 (URL)