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===The binary space N ===
{{further|Vector space model}}
The SDM works with n-dimensional vectors with binary components. Depending on the context, the vectors are called points, patterns, addresses, words, memory items, data, or events. This section is mostly about the properties of the vector space N = <math>\{0,1\}^n</math>. Let n be number of dimensions of the space. The number of points, or possible memory items, is then <math>2^n</math>. We will denote this number by N and will use N and <math>2^n</math> to stand also for the space itself.<ref name="greb2">Grebeníček, František. "Sparse Distributed Memory− Pattern Data Analysis. URL: http://www.fit.vutbr.cz/~grebenic/Publikace/mosis2000.pdf"</ref>
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* [[Semantic network]]
* Stacked [[autoencoder]]s
* [[
==References==
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