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ref: bookmark-0 tags: Numenta Bayesian_networks date: 0-0-2006 0:0 revision:0 [head]

http://www.numenta.com/Numenta_HTM_Concepts.pdf

  • shared, hierarchal representation reduces memory requirements, training time, and mirrors the structure of the world.
  • belief propagation techniques force the network into a set of mutually consistent beliefs.
  • a belief is a form of spatio-temporal quantization: ignore the unusual.
  • a cause is a persistent or recurring structure in the world - the root of a spatiotemporal pattern. This is a simple but important concept.
    • HTM marginalize along space and time - they assume time patterns and space patterns, not both at the same time. Temporal parameterization follows spatial parameterization.