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Research Publications

Research Papers

  1. A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex
    Jeff Hawkins, Marcus Lewis, Scott Purdy, Mirko Klukas, and Subutai Ahmad
    neuroscience, sensorimotor
    Preprint of journal submission2018/10/12

    In this research paper, Numenta proposes a novel theoretical framework for understanding what the neocortex does and how it does it. The framework is based on grid cells and has significant implications for neuroscience and machine intelligence.

  2. Companion paper to A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex
    Numenta
    neuroscience, sensorimotor
    Companion paper2018/10/10

    This companion piece explains the Thousand Brains Theory of Intelligence, one of the big ideas introduced in the October 2018 research paper A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex by Jeff Hawkins, Marcus Lewis, Scott Purdy, Mirko Klukas, and Subutai Ahmad. Written by non-neuroscientists, it can be read as a standalone piece or as a primer for the full research paper.

  3.  Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells
    Marcus Lewis, Scott Purdy, Subutai Ahmad, and Jeff Hawkins
    neuroscience, sensorimotor
    Preprint of journal submission2018/10/05

    This paper explains how location signals can be generated with a location layer that utilizes grid-cell-like neurons. It builds on our previous paper, A Theory of How Columns in the Neocortex Enable Learning the Structure of the World.

  4. A Theory of How Columns in the Neocortex Enable Learning the Structure of the World
    Jeff Hawkins, Subutai Ahmad & Yuwei Cui
    neuroscience, sensorimotor
    Published in Frontiers in Neural Circuits Journal (Peer-reviewed)2017/10/25

    This paper proposes a network model composed of columns and layers that performs robust object learning and recognition. The model introduces a new feature to cortical columns, location information, which is represented relative to the object being sensed.

  5. Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex
    Jeff Hawkins & Subutai Ahmad
    neuroscience, sequence learning
    Published in Frontiers in Neural Circuits Journal (Peer-reviewed)2016/03/30

    This foundational paper describes core HTM theory for sequence memory and its relationship to the neocortex. Written with a neuroscience perspective, the paper explains why neurons have so many synapses and how networks of neurons can form a powerful sequence learning mechanism.

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