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Research Papers
Wed, Apr 24, 2019
Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells
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.
AUTHORS:
Marcus Lewis, Scott Purdy, Subutai Ahmad and Jeff Hawkins
PUBLICATION:
Published in Frontiers in Neural Circuits Journal (Peer-reviewed)
Fri, Jan 11, 2019
A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex
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.
AUTHORS:
Jeff Hawkins, Marcus Lewis, Scott Purdy, Mirko Klukas and Subutai Ahmad
PUBLICATION:
Published in Frontiers in Neural Circuits Journal (Peer-reviewed)
Wed, Oct 10, 2018
Companion paper to A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex
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.
AUTHORS:
Companion paper
PUBLICATION:
Wed, Oct 25, 2017
A Theory of How Columns in the Neocortex Enable Learning the Structure of the World
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.
AUTHORS:
Jeff Hawkins, Subutai Ahmad and Yuwei Cui
PUBLICATION:
Published in Frontiers in Neural Circuits Journal (Peer-reviewed)
Tue, Sep 19, 2017
Untangling Sequences: Behavior vs. External Causes
This paper describes a cortical model for untangling sensorimotor from external sequences. It shows how a single neural mechanism can learn and recognize these two types of sequences: sequences where sensory inputs change due to external factors, and sequences where inputs change due to our own behavior (sensorimotor sequences).
AUTHORS:
Subutai Ahmad and Jeff Hawkins
PUBLICATION:
Preprint of journal submission
Wed, Mar 30, 2016
Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex
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.
AUTHORS:
Jeff Hawkins and Subutai Ahmad
PUBLICATION:
Published in Frontiers in Neural Circuits Journal (Peer-reviewed)