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Communicative & Integrative Biology Volume 13, 2020 - Issue 1
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Research paper

Emergence of informative higher scales in biological systems: a computational toolkit for optimal prediction and control

Erik HoelAllen Discovery Center, Tufts University, Medford, MA, USAView further author information
&
Michael LevinAllen Discovery Center, Tufts University, Medford, MA, USA;Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7292-8084View further author information
ORCID Icon
Pages 108-118 | Received 10 Jun 2020, Accepted 26 Jul 2020, Published online: 15 Aug 2020

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Boyuan Li, Xiaoyang Li, Zhaoxing Tian, Xia Lu & Rui Kang. (2023) General power laws of the causalities in the causal Bayesian networks. International Journal of General Systems 0:0, pages 1-15.
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Articles from other publishers (5)

Chris Fields, Karl Friston, James F Glazebrook, Michael Levin & Antonino Marcianò. (2022) The free energy principle induces neuromorphic development. Neuromorphic Computing and Engineering 2:4, pages 042002.
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Hans-Günther Döbereiner. (2022) On the Nature of Information: How FAIR Digital Objects are Building-up Semantic Space. Research Ideas and Outcomes 8.
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Thomas F. Varley & Erik Hoel. (2022) Emergence as the conversion of information: a unifying theory. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380:2227.
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Basak Kocaoglu & William H. Alexander. (2022) Degeneracy measures in biologically plausible random Boolean networks. BMC Bioinformatics 23:1.
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Mattia Bonzanni & David L. Kaplan. (2021) On the prediction of neuronal microscale topology descriptors based on mesoscale recordings. European Journal of Neuroscience 54:6, pages 6147-6167.
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