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Papers, Videos & More

The Hard Unsolved Problems in HTM Theory youtube video screenshot
Video: The Hard Unsolved Problems in HTM Theory (1:00:00)

To help you learn about our theory and technology, we have organized educational content below. It is designed for anyone who wants to learn about HTM cortical theory and its applications for machine intelligence.

  1. Research PapersHere you’ll find a collection of recent Numenta Research papers. Some of them are currently under review at journals/conferences, but we have made all manuscripts freely available on preprint sites, such as arXiv or bioRxiv.
  2. Biological and Machine Intelligence (BAMI)This living book (Biological And Machine Intelligence) documents our Hierarchical Temporal Memory framework for both biological and machine intelligence.
  3. HTM SchoolThis YouTube series is designed to educate the general public about Hierarchical Temporal Memory (HTM). Each 10-15 minute episode dives into a particular topic of HTM theory.


  1. AI Singapore Meetup: The Biological Path Toward Strong AI
    Matthew TaylorOpen Source Community Manager2018/05/17
  2. ODSC West 2017: The Biological Path Toward Strong AI
    Matthew TaylorOpen Source Community Manager2017/11/03
  3. How Columns in the Neocortex Enable Learning
    NumentaJeff Hawkins, Subutai Ahmad, and Yuwei Cui2017/10/25
  4. Strange Loop: The Biological Path Toward Strong AI
    Matthew TaylorOpen Source Community Manager2017/09/29
  5. Video Series: HTM Chat with Jeff Hawkins
    NumentaJeff Hawkins & Matt Taylor2017/03/22
  6. CSV17: Reverse Engineering the Brain for Intelligent Machines
    NumentaJeff Hawkins and Subutai Ahmad2017/03/07
  7. Machine Intelligence with Streaming Data Webinar
    NumentaChristy Maver & Scott Purdy2016/04/26
  8. HTM Videos from Jeff Hawkins
    Jeff HawkinsCo-Founder2014/11/22
  9. Applications of Hierarchical Temporal Memory (HTM)
    Chetan SurpurSoftware Engineer2014/10/17
  10. Getting Started With Numenta Technology
    NumentaCeleste Baranski & Matt Taylor2014/10/17
  11. Science of Anomaly Detection
    Scott PurdyEngineering Manager2014/10/17
  12. HTM Learning Algorithm Tutorial: Algorithm Basics
    Rahul AgarwalSoftware Engineer2013/08/03


  1. Jeff Hawkins on Loup Ventures Braintech Podcast Series
    Doug ClintonLoup Ventures2018/01/05
  2. Jeff Hawkins Explores a New Theory of Cortical Function
    Ginger Campbell, MDBrain Science Podcast2017/11/27
  3. Hierarchical Temporal Memory (HTM) Whitepaper
    Jeff HawkinsCo-Founder2011/09/12
  4. On Intelligence (Book) by Jeff Hawkins
    Jeff Hawkins & Sandra BlakesleeCo-Founder & Co-Author2005/07/14


  1. Grid Cell Meeting 2018: Using Grid Cells for Coordinate Transforms
    Numenta Research EngineerMarcus Lewis2018/05/21
  2. Cosyne 2018: Determining Allocentric Locations of Sensed Features
    NumentaMarcus Lewis, Jeff Hawkins2018/03/01
  3. Cosyne 2018: Sparse Distributed Representations
    NumentaSubutai Ahmad, Max Schwarzer, and Jeff Hawkins2018/03/01
  4. CNS 2017: A Neural Mechanism for Sequence Learning – HTM Sequence Memory
    NumentaSubutai Ahmad, Yuwei Cui, Jeff Hawkins2017/07/24
  5. NCM 2017: A Cortical Circuit for Sensorimotor Learning and Recognition
    NumentaSubutai Ahmad, Jeff Hawkins, Yuwei Cui2017/05/01
  6. Cosyne 2017: How Do Cortical Columns Learn 3D Sensorimotor Models?
    NumentaJeff Hawkins, Yuwei Cui, Subutai Ahmad, Nathanael Romano, and Marcus Lewis2017/02/24
  7. Bernstein Conference 2016: HTM Sequence Memory for Sequence Learning
    NumentaSubutai Ahmad, Jeff Hawkins, Yuwei Cui2016/09/21
  8. Cosyne 2016: Introducing HTM Sequence Memory
    NumentaYuwei Cui, Subutai Ahmad, Jeff Hawkins, Chetan Surpur2016/02/25
  9. Cosyne 2015: How The Cortex Builds a Sensorimotor Model of The World
    NumentaYuwei Cui, Subutai Ahmad, Jeff Hawkins, Chetan Surpur2015/03/05

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