The Hierarchical Temporal Memory (HTM) theory developed by Jeff Hawkins and Subutai Ahmad from Numenta describes the human neocortex as a 2D sheet of modular, homologous microcircuits that process any kind of information in a consistent data format called Sparse Distributed Representations (SDRs).
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Francisco Webber from Cortical.io took the HTM theory as a starting point to create Semantic Folding, a data-encoding mechanism for inputting language semantics into HTM networks.
In Semantic Folding, sparse distributed word vectors (semantic fingerprints) are dynamically positioned in a topographical, two-dimensional semantic map in a way that semantically related word vectors are placed close to each
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