Hierarchical Temporal Memory: Concepts, Theory, and Terminology

Published by Jeff Hawkins and Dileep George, Numenta Inc.

There are many things humans find easy to do that computers are currently unable to do. Tasks such as visual pattern recognition, understanding spoken language, recognizing and manipulating objects by touch, and navigating in a complex world are easy for humans. Yet, despite decades of research, we have no viable algorithms for performing these and other cognitive functions on a computer. In a human, these capabilities are largely performed by the
neocortex. Hierarchical Temporal Memory (HTM) is a technology that replicates the structural and algorithmic properties of the neocortex. HTM therefore offers the promise of building machines that approach or exceed human level performance for many cognitive tasks. Click for more... (.pdf file)