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yearType of available resourceslink to datalink to code
original paper's information
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2018
2020		code
https://github.com/oizumi-lab/PhiToolbox
Kitazono, Jun, Ryota Kanai, and Masafumi Oizumi. 2018. “Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory.” Entropy 20 (3). https://doi.org/10.3390/e20030173.
Kitazono, Jun, Ryota Kanai, and Masafumi Oizumi. 2020. “Efficient Search for Informational Cores in Complex Systems: Application to Brain Networks.” Neural Networks: The Official Journal of the International Neural Network Society 132 (December): 232–44.
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2021code
https://github.com/oizumi-lab/SB_toolbox
Kawakita, Genji, Shunsuke Kamiya, Shuntaro Sasai, Jun Kitazono, and Masafumi Oizumi. 2021. “Quantifying Brain State Transition Cost via Schrödinger Bridge.” Network Neuroscience (Cambridge, Mass.), October, 1–26. https://doi.org/10.1162/netn_a_00213
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2022code
https://github.com/JunKitazono/BidirectionallyConnectedCores
J. Kitazono, Y. Aoki, M. Oizumi. (2022). Bidirectionally connected cores in a mouse connectome: Towards extracting the brain subnetworks essential for consciousness. Cerebral Cortex. https://doi.org/10.1093/cercor/bhac143
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