Papers and videos

This section contains papers and talks describing details of HTM theory.

HTM Cortical Learning Algorithms

Brains, Minds and Machines (video)
MIT recently held a symposium on Brain, Minds and Machines as part of their 150th anniversary celebration. Jeff Hawkins was invited to participate on a panel that addressed the question: Is it time to try again to understand the brain and engineer the mind? Jeff presents his answer to this question in this 10-minute video. This talk was given on May 4, 2011.

Advances in modeling neocortex and its impact on machine intelligence (video)
Jeff Hawkins presents the new HTM algorithms at the Beckman Institute, University of Illinois at Urbana-Champaign. This talk was given on November 12, 2010.

Advances in modeling neocortex and its impact on machine intelligence (video)
Jeff Hawkins presents the new HTM algorithms for a graduate class on neural computation at the University of California at Berkeley. This talk is very similar to the Beckman Institute talk above, but might be useful for those viewers who want to hear the talk given again with some shades of difference. In addition, this talk includes a question & answer section. Note that the video is not high quality. This talk was given on December 2, 2010.


Archives

The following materials have been superseded by new documentation.

Whitepapers

  • HTM: Concepts, Theory and Terminology (PDF)
    This whitepaper goes into an in-depth discussion about the theory of Hierarchical Temporal Memory (HTM). HTM is a new computing paradigm that replicates the structure and function of the human neocortex. This paper has been superseded by the paper titled "Hierarchical Temporal Memory including HTM Cortical Learning Algorithms", above.

  • The HTM Learning Algorithms (PDF)
    This paper documents our first generation learning algorithms, called Zeta 1. The paper has been superseded by the paper titled "Hierarchical Temporal Memory including HTM Cortical Learning Algorithms", above.

  • HTM: Comparison with Existing Models (PDF)
    This whitepaper discusses how HTMs are different from existing models, and does a comparison of these modeling techniques. This paper will be updated in 2011. While some of the material is out of date, much of the content is still relevant.

Videos

The following presentations have been superseded by new documentation. We include them here as a reference to our previous work.

Independent sites and research papers

Links to sites and research papers from independent scientists and engineers about Hierarchical Temporal Memory and about Numenta technology.