pytau: A Python package for streamlined changepoint model analysis in neuroscience

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1. Verfasser: Mahmood, Abuzar
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Veröffentlicht: Zenodo 2025
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author Mahmood, Abuzar
author_facet Mahmood, Abuzar
contents PyTau is a Python package for detecting state changes in time series data using Bayesian changepoint models. While originally developed for neural data analysis, the methods are applicable to any sequential data where identifying state transitions is important.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17982243
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle pytau: A Python package for streamlined changepoint model analysis in neuroscience
Mahmood, Abuzar
timeseries
changepoint
bayesian
neuroscience
PyTau is a Python package for detecting state changes in time series data using Bayesian changepoint models. While originally developed for neural data analysis, the methods are applicable to any sequential data where identifying state transitions is important.
title pytau: A Python package for streamlined changepoint model analysis in neuroscience
topic timeseries
changepoint
bayesian
neuroscience
url https://doi.org/10.5281/zenodo.17982243