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.
Metadata
Release files for statesegmentation 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| statesegmentation-0.0.6.tar.gz | 7.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| statesegmentation-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.8 kB
Release files / statesegmentation-0.0.6.tar.gz
| Download URL | statesegmentation-0.0.6.tar.gz |
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| Size | 7.1 kB |
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Release files / statesegmentation-0.0.6-py3-none-any.whl
| Download URL | statesegmentation-0.0.6-py3-none-any.whl |
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| Size | 7.7 kB |
| Tags | Python 3 |
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