raamana/hiwenet
Histogram-weighted Networks for Connectivity & Advanced Analysis in Neuroscience
This tool helps neuroscientists and researchers analyze brain connectivity by calculating how different brain regions relate to each other based on their feature values. You input a list of feature values (like brain scan data) and corresponding region labels. It then outputs a matrix showing the 'distance' or relationship strength between each pair of regions, or a network graph representing these connections.
Used by 1 other package. Available on PyPI.
Use this if you need to quantitatively assess the relationships between different groups of neural data, particularly when using histogram-based or original distribution-based comparisons.
Not ideal if you need a graphical user interface or a command-line tool, as this is designed for programmatic use within a larger analysis workflow.
Stars
8
Forks
3
Language
Python
License
MIT
Category
Last pushed
Mar 26, 2026
Monthly downloads
623
Commits (30d)
0
Dependencies
4
Reverse dependents
1
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