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python-track-linearization 2.4.0
Propagated dependencies: python-dask@2025.11.0 python-matplotlib@3.10.8 python-networkx@3.4.2 python-numpy@2.3.1 python-pandas@2.3.3 python-scipy@1.16.3
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/LorenFrankLab/track_linearization
Licenses: Expat
Build system: pyproject
Synopsis: Linearize 2D position to 1D using Hidden Markov Models
Description:

track_linearization is a Python package for mapping animal movement on complex track environments (mazes, figure-8s, T-mazes) into simplified 1D representations. It uses Hidden Markov Models to handle noisy position data and provides powerful tools for analyzing spatial behavior in neuroscience experiments.

Total packages: 1