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Behavpy - Hidden Markov Model

Behavpy_HMM is an extension of behavpy that revolves around the use of Hidden Markov Models (HMM) to segment and predict sleep and awake stages in Drosophila. This method is based on Wiggin et al PNAS 2020

Training an HMM

Behavpy_HMM is an extension of behavpy that revolves around the use of Hidden Markov Models (HMM)...

Visualising with the HMM

The best way to get to grips with your newly trained HMM is to decode some data and has a look at...
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