Metadata-Version: 2.1
Name: statesegmentation
Version: 0.0.2
Summary: Detecting neural state transitions underlying event segmentation
Home-page: https://github.com/lgeerligs/statesegmentation
Author: Linda Geerligs, Umut Güçlü
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown

# statesegmentation

The statesegmentation package contains the implementation of a a greedy search algorithm (GSBS) to
segment a timeseries into states with stable activity patterns.

You can find more information about the method here:
Geerligs L., van Gerven M., Güçlü U (2020) Detecting neural state transitions underlying event segmentation
biorXiv. https://doi.org/10.1101/2020.04.30.069989

The package can be installed using: pip install statesegmentation

An example use case can be found in the examples directory.




