Numenta Logo
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, & Subutai Ahmad
    neuroscience, sensorimotor, grid cells
    Published in Frontiers in Neural Circuits Journal (Peer-reviewed)2019/01/11

    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, grid cells
    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. How Can We Be So Dense? The Benefits of Using Highly Sparse Representations
    Subutai Ahmad & Luiz Scheinkman
    machine learning, sparse distributed representations
    Research Paper2019/03/27

    The paper walks through our implementation of brain-like SDRs in practical systems as a proof of concept. We implemented a sparse layer that can be dropped into existing deep learning and convolutional networks. We then trained sparse networks with back propagation, validated them with popular datasets and tested their accuracy with noisy images and sounds.

  4. Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells
    Marcus Lewis, Scott Purdy, Subutai Ahmad, & Jeff Hawkins
    neuroscience, sensorimotor, grid cells
    Published in Frontiers in Neural Circuits Journal (Peer-reviewed)2019/03/19

    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.

  5. 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.

  6. Page 1 of 4 Next >