The noteboook allows to compute the PCI Lempel-Ziv [1] and PCI state transitions [2]. In order to run the examples you should provide a wake and sleep data set in the Python-MNE format. Such data are provided, as example, from https://drive.google.com/drive/folders/1itgQ8uR9bBvjJhla3f716-23qZ12a7jX?usp=share_link
[1] Casali, A. G., Gosseries, O., Rosanova, M., Boly, M., Sarasso, S., Casali, K. R., et al. (2013). A Theoretically Based Index of Consciousness Independent of Sensory Processing and Behavior. Science Translational Medicine 5, 198ra105-198ra105. doi:10.1126/scitranslmed.3006294.
[2] Comolatti, R., Pigorini, A., Casarotto, S., Fecchio, M., Faria, G., Sarasso, S., et al. (2019). A fast and general method to empirically estimate the complexity of brain responses to transcranial and intracranial stimulations. Brain Stimulation, S1935861X19302207. doi:10.1016/j.brs.2019.05.013.