phi_toolbox.zip (2.05 MB)
phi_toolbox.zip
MATLAB codes for computing practical measures of integrated information proposed in Oizumi et al., 2016, PLoS Comp Biol and Oizumi et al., 2016, PNAS.
Oizumi, M., Amari, S., Yanagawa, T., Fujii, N., & Tsuchiya, N. (2016). Measuring integrated information from the decoding perspective. PLoS Comput Biol, 12(1), e1004654. http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004654
Oizumi, M., Tsuchiya, N., & Amari, S. (2016). Unified framework for information integration based on information geometry. Proceedings of the National Academy of Sciences, 113(51), 14817-14822. http://www.pnas.org/content/113/51/14817.short
