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Research Papers
Fri, Feb 26, 2021
Grid Cell Path Integration For Movement-Based Visual Object Recognition
Recent proposals suggest that the brain might use similar mechanisms to understand the structure of objects in diverse sensory modalities, including vision. In machine vision, object recognition given a sequence of sensory samples of an image is a challenging problem when the sequence does not follow a consistent, fixed pattern – yet this is something humans do naturally and effortlessly. We explore how grid cell-based path integration in a cortical network can support reliable recognition of objects given an arbitrary sequence of inputs.
AUTHORS:
Niels Leadholm, Marcus Lewis and Subutai Ahmad
PUBLICATION:
Research Paper
Tue, Apr 28, 2020
Efficient and Flexible Representation of Higher-Dimensional Cognitive Variables with Grid Cells
This paper shows that a set of grid cell modules, each with only 2D responses, can generate unambiguous and high-capacity representations of variables in much higher-dimensional spaces.
AUTHORS:
Mirko Klukas, Marcus Lewis and Ila Fiete
PUBLICATION:
Published in PLOS Computational Biology Journal (Peer-reviewed)
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)
Wed, Mar 27, 2019
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations
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.
AUTHORS:
Subutai Ahmad and Luiz Scheinkman
PUBLICATION:
Research Paper
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: