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Detecting neural state transitions underlying event segmentation

Project description

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. (2021) Detecting neural state transitions underlying event segmentation. Neuroimage. https://doi.org/10.1016/j.neuroimage.2021.118085

The method has since been improved as described here: Geerligs L., Gözükara D., Oetringer D., Campbell K., van Gerven M., Güçlü U. (2022) A partially nested cortical hierarchy of neural states underlies event segmentation in the human brain. BioRxiv. https://doi.org/10.1101/2021.02.05.429165

The package can be installed using: pip install statesegmentation

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

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