Papers
The Thousand Brains Project: A New Paradigm for Sensorimotor Intelligence
This paper reviews the state of artificial intelligence (AI) and the quest to create general AI with human-like cognitive capabilities. This review argues that improvements in current AI using mathematical or logical techniques are unlikely to lead to general AI. Instead, the AI community should incorporate neuroscience discoveries about the neocortex. It further explains the limitations of current AI techniques and focuses on the biologically constrained Thousand Brains Theory describing the neocortex’s computational principles.
AUTHORS:
Charmaine Lai
PUBLICATION:
Review Paper
A Thousand Brains: Toward Biologically Constrained AI
This paper reviews the state of artificial intelligence (AI) and the quest to create general AI with human-like cognitive capabilities. This review argues that improvements in current AI using mathematical or logical techniques are unlikely to lead to general AI. Instead, the AI community should incorporate neuroscience discoveries about the neocortex. It further explains the limitations of current AI techniques and focuses on the biologically constrained Thousand Brains Theory describing the neocortex’s computational principles.
AUTHORS:
Charmaine Lai
PUBLICATION:
Review Paper
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:
Charmaine Lai
PUBLICATION:
Published in Frontiers in Neural Circuits Journal (Peer-reviewed)
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:
Charmaine Lai
PUBLICATION:
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:
Charmaine Lai
PUBLICATION:
Published in Frontiers in Neural Circuits Journal (Peer-reviewed)
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:
Charmaine Lai
PUBLICATION:
Published in Frontiers in Neural Circuits Journal (Peer-reviewed)