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Variable Binding for Sparse Distributed Representations: Theory and Applications.arXiv preprint arXiv:2009.06734(2020). https:\/\/arxiv.org\/abs\/2009.06734  E\u00a0Paxon Frady D Kleyko and FT Sommer. 2020. Variable Binding for Sparse Distributed Representations: Theory and Applications.arXiv preprint arXiv:2009.06734(2020). https:\/\/arxiv.org\/abs\/2009.06734"},{"key":"e_1_3_2_1_7_1","volume-title":"Robust computation with rhythmic spike patterns.Proceedings of the National Academy of Sciences of the United States of America 116, 36 (3 sep","author":"Frady E\u00a0Paxon","year":"2019","unstructured":"E\u00a0Paxon Frady and Friedrich\u00a0 T Sommer . 2019. Robust computation with rhythmic spike patterns.Proceedings of the National Academy of Sciences of the United States of America 116, 36 (3 sep 2019 ), 18050\u201318059. https:\/\/doi.org\/10.1073\/pnas.1902653116 10.1073\/pnas.1902653116 E\u00a0Paxon Frady and Friedrich\u00a0T Sommer. 2019. 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Springer Berlin Heidelberg , Berlin, Heidelberg, 869\u2013873. https:\/\/doi.org\/10.1007\/3-540-61510-5_146 10.1007\/3-540-61510-5_146 Pentti Kanerva. 1996. Binary spatter-coding of ordered K-tuples. In Artificial neural networks \u2014ICANN 96, Christoph Malsburg, Werner Seelen, Jan\u00a0C. Vorbr\u00fcggen, Bernhard Sendhoff, Gerhard Goos, Juris Hartmanis, and Jan Leeuwen (Eds.). Lecture notes in computer science, Vol.\u00a01112. Springer Berlin Heidelberg, Berlin, Heidelberg, 869\u2013873. https:\/\/doi.org\/10.1007\/3-540-61510-5_146"},{"key":"e_1_3_2_1_12_1","volume-title":"Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors. Cognitive computation 1, 2 (jun","author":"Kanerva Pentti","year":"2009","unstructured":"Pentti Kanerva . 2009 . Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors. 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