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BIOLOGY, NEUROSCIENCE & PSYCHOLOGY
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Fages, F., Calzone, L., & Soliman, S. (2006). BIOCHAM: an environment for modeling biological systems and formalizing experimental knowledge. Bioinformatics, 22(14), 1805–1807. https://doi.org/10/dfv
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Brown, R., & Porter, T. (2008). Category Theory and Higher Dimensional Algebra: potential descriptive tools in neuroscience. ArXiv:Math/0306223. Retrieved from http://arxiv.org/abs/math/0306223
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Tuyéras, R. (2018). Category Theory for Genetics. ArXiv:1708.05255 [Math]. Retrieved from http://arxiv.org/abs/1708.05255
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Tuyéras, R. (2018). Category theory for genetics I: mutations and sequence alignments. ArXiv:1805.07002 [Math]. Retrieved from http://arxiv.org/abs/1805.07002
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Tuyéras, R. (2018). Category theory for genetics II: genotype, phenotype and haplotype. ArXiv:1805.07004 [Math]. Retrieved from http://arxiv.org/abs/1805.07004
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Ehresmann, A. C., & Gomez-Ramirez, J. (2015). Conciliating neuroscience and phenomenology via category theory. Progress in Biophysics and Molecular Biology, 119(3), 347–359. https://doi.org/10/f75jzr
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Heller, M. (2019). Homunculus’ Brain and Categorical Logic. ArXiv, abs/1903.03424.
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Fages, F., Martinez, T., Rosenblueth, D. A., & Soliman, S. (2018). Influence Networks Compared with Reaction Networks: Semantics, Expressivity and Attractors. IEEE/ACM Trans. Comput. Biol. Bioinformatics, 15(4), 1138–1151. https://doi.org/10/ggdf94
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Philipona, D., O’Regan, J., & Nadal, J.-P. (2003). Is There Something Out There? Inferring Space from Sensorimotor Dependencies. Neural Computation, 15, 2029–2049. https://doi.org/10/frg7gs
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Ehresmann, A. C. (2012). MENS, an Info-Computational Model for (Neuro-)cognitive Systems Capable of Creativity. Entropy, 14, 1703–1716. https://doi.org/10/ggdf9t
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Boutillier, P., Maasha, M., Li, X., Medina-Abarca, H. F., Krivine, J., Feret, J., … Fontana, W. (2018). The Kappa platform for rule-based modeling. Bioinformatics, 34(13), i583–i592. https://doi.org/10/gdrhw6
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